CN116976692A - Traditional village classification partition protection control method based on adaptive circulation path - Google Patents
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Abstract
The invention discloses a traditional village classification partition protection control method based on an adaptive circulation path, which comprises the following steps: basic data are acquired and imported into a GIS platform to establish a traditional village database; constructing a traditional village adaptability comprehensive index system through three characteristic attributes of locality, fluidity and toughness, obtaining each index weight based on an entropy method, calculating three characteristic attribute values, and evaluating an adaptability circulation path of the traditional village; and (3) carrying out rapid clustering according to the three characteristic attribute values, classifying and partitioning the traditional villages, and determining a planning strategy of protection control. According to the invention, local unit attributes, liquidity space structures and toughness dynamic trends of different traditional villages are considered from a macroscopic overall angle, and a method with element comprehensiveness, time continuity and development stage advantages is formed based on an adaptive circulation path, so that policy formulation and village treatment basis and reference are provided for village protection development.
Description
Technical Field
The invention relates to the technical fields of information technology, urban and rural planning, rural plain, regional planning, humanization geography and the like, in particular to a traditional village classification and zoning protection control method based on an adaptive circulation path.
Background
Under the urban background, the traditional village gradually leaves from the self-sufficient small rural economic state, is integrated into the regional network through traffic, economy, information and other links, and the innovation of capital injection and production tools promotes the traditional village to be changed from the original endogenous and passive man-ground adaptability mode to the exogenous, complex and active man-ground multiple adaptability mode, so that factors influencing the integral protection and adaptability development of the traditional village are also more complex. However, with the recent acceleration of economic and social development and urbanization, the phenomena of building damage, natural damage and disordered development damage of traditional villages are increasingly aggravated, and the protection situation is very serious.
The traditional village classification and partition protection control is an important component part of the village for protection planning and programming, protection measure formulation, protection policy management, protection legal responsibility division and the like, is also an important way for reasonably controlling and managing and coordinating various constructability activities such as maintenance, arrangement, repair, internal update and the like of the traditional village according to the current protection and utilization status of different sections of the traditional village, reflects the relevance and the diversity of the traditional village in a regional protection system, and is also an important means for modeling buildings, roadways, environments and various space landscapes forming historical appearances in the traditional village. The traditional village classification and partition protection control is beneficial to various traditional villages on the scale of integrity, systematicness and structural protection areas, promotes the traditional village protection and recovery of historical primordial, wind integrity and cultural life continuity, and is a basic basis for traditional village policy establishment, planning construction, village management and the like.
However, at present, many traditional village classification and partition protection control methods are divided based on types and regional characteristics, and some traditional villages are divided into spool type, bead type, central type, balanced type, star point type and other types based on aggregation morphological structures; some of the villages are classified into coastal fishing villages, basin block-shaped villages, plain water and the like by taking geographical environment and topography as classification elements; some of the villages are classified into substance cultural heritage categories, non-substance cultural heritage categories and comprehensive categories (both of which are based on resource condition types); some of them are classified into seven types of farming, industry and trade, and administrative, according to the conventional industry and function. However, the above classification and partitioning method only analyzes from a single dimension such as nature, economy, society, culture, etc., does not consider the current development stage and current characteristics of villages, and does not effectively perform the temporal judgment from the dynamic angle of the space-time evolution of villages, and lacks the method research and judgment of element comprehensiveness, time continuity and development stage.
In addition, the conventional village classification and partition protection control method is mostly aimed at different conventional village cases, and according to the structural form, artistic characteristics, historical characteristics, construction age and rarity equivalent value factors of a conventional building, a protection range is divided into a core protection area and a construction control area in a subjective form to implement partition protection, and the classification guiding method of whether the core protection area, the construction control area and an environment coordination area are intensively adopted according to the style is also available. And the resource endowment, integrity and preservation of villages become important indexes of the protection control method.
However, the classification partition protection control method is changed into a classification partition mode that different traditional village elements are simply divided, stacked and pieced together, and the relevance and systematicness among the elements are often ignored. Meanwhile, the island type classification and partition mode causes the separation of the traditional village from the natural environment and the social environment, the method is too focused on whether the principle, the content and other 'stipulated actions' of the traditional village protection are finished, so that an integral, objective and targeted protection development strategy for the traditional village with various characteristics and facing different problems cannot be formed, and the characteristic desalination and disappearance of the traditional village are caused to a certain extent.
In general, the technical means of the traditional village classification and partition protection control are mainly focused on microcosmic or mesoscopic scales of single buildings, communities, village foci and the like aiming at single scales, but the traditional village classification and partition protection control method for regional scale, cross-regional scale and even homeland space scale is lack for the traditional village whole body; the existing method mostly adopts an island type classification partition form, lacks multi-dimensional comprehensive view angles of environment, economy, culture, politics and the like and is constructed in a correlation manner of different elements, so that the traditional village is separated from the environment by cutting; in addition, most of the conventional village classification and partition control methods are based on qualitative design guidance and individual case analysis, and lack of an effective and general quantitative method, and the method is not based on the current development stage of the village through the research of the time-dependent change of the conventional village, so that the classification and partition protection control of the village is based on the current static time profile, and history relevance and development continuity are ignored.
Disclosure of Invention
Aiming at the problems and the defects existing in the prior art, the invention provides the traditional village classification partition protection control method based on the adaptive circulation path, which is based on objective rational analysis, carries out comprehensive and comprehensive consideration from the aspect of macroscopic integration, considers local characteristics, mobility association and toughness recovery among different elements, and judges village adaptation process and the current development stage from the aspect of time dynamics based on the adaptive circulation path.
In order to achieve the above purpose, the present invention adopts the following technical scheme: a traditional village classification partition protection control method based on an adaptive circulation path comprises the following steps:
and step 1, acquiring basic data materials, carrying out standardized processing on the data, and importing all the data into a Geographic Information System (GIS) platform to establish a traditional village database. Wherein the base data material comprises: the traditional village historical culture class point location vector data, the traditional village different function space point location vector data, the natural geographic vector, the grid data, the socioeconomic development vector and the grid data.
And 2, constructing a traditional village adaptability comprehensive index system through three characteristic attributes of locality, fluidity and toughness, obtaining each index weight from an objective angle based on an entropy method, calculating three characteristic attribute values, and evaluating an adaptability circulation path of the traditional village.
And 3, carrying out rapid clustering on the local, fluidity and toughness values of the traditional villages obtained in the step 2, classifying and partitioning the traditional villages, and determining a planning strategy for protection control according to the classification and partitioning of the traditional villages.
Further, the specific steps of the step 1 are as follows:
step 1.1, obtaining basic data materials, which comprises the following steps: (1) traditional village history culture class point location vector data: traditional village points, cultural relic protection unit points, relics temple points, non-material cultural heritage points and non-material cultural heritage points; (2) space point position vector data of different functions of the traditional village: school points, medical facilities points, government points, railway stations points, and national class a scenic spots; (3) natural geographic vectors and raster data: river water system vector data, topographic relief grid data, vegetation net primary productivity grid data, annual precipitation distribution grid data, cultivated land reseeding area grid data, solar radiation grid data and annual average air temperature grid data; (4) socioeconomic development vector and raster data: road vector data, annual population density distribution grid data, and global value vector data produced in the area of the average of the people in the ground level city. The data are imported into a GIS platform, wherein vector data are in shp format, raster data are in img format, and geometric correction is carried out according to a world geodetic system (WGS 1984 version) to a reference coordinate system with uniform space.
Step 1.2, according to the four basic data materials in the step 1.1, using neighborhood analysis tools, space connection tools and the like in a GIS to respectively calculate the distance between the point location data of the traditional village and the nearest relic protection unit, the space distance between the point location data of the traditional village and the nearest religious temple, the distance between the point location data of the traditional village and the non-matter cultural heritage and the topography fluctuation degree of the place, and using the point location data of the traditional village as the traditional village locality index of the subsequent step; respectively calculating the space distance between the traditional village point location data and the nearest school point location, the space distance between the traditional village point location data and the nearest medical facility point location, the space distance between the traditional village point location data and the nearest government point location, the space distance between the traditional village point location data and the nearest highway, the space distance between the traditional village point location data and the nearest railway station point location and the space distance between the traditional village point location data and the nearest national class A scenic spot, and using the traditional village point location data and the space distance between the traditional village point location data and the nearest government point location data as traditional village fluidity indexes in the subsequent steps; and finally, respectively calculating the vegetation net primary productivity change, precipitation value, population density, cultivated land reseeding area, solar radiation, air temperature, total production value of the urban and man-average area of the land, the distance from river water system and the distance from non-matter cultural passers-by position of the traditional village point location data, and using the calculated total production value, the distance from river water system and the distance from the non-matter cultural passers-by position as traditional village toughness indexes of the subsequent steps. And carrying out standardized processing on the data, and then importing the data into a GIS platform to establish a traditional village database.
Further, the specific steps of the step 2 are as follows:
step 2.1, constructing a traditional village adaptability comprehensive index system: the dynamic response process of the development path of the system adaptive circulation stage of the traditional village under the condition of coping with external interference can be expressed by taking the traditional village point as an object through the change of three characteristic attributes of locality, mobility and toughness. Locality, flowability, toughness represent three aspects of traditional village fitness, respectively: cell attributes, spatial structure, and dynamic trends.
(1) The locality refers to the unit attribute of the traditional village as a system, is the potential of internal growth, and is mainly characterized in three aspects, including the physical space characteristics of village such as building form with unique regional characteristics, street texture and the like, the poetry mountain-water pattern of village site selection layout such as back mountain water, wind gathering and qi gathering of the traditional village, and the non-physical culture with regional morals such as life custom, religious sacrifice, festival celebration and the like.
(2) Fluidity refers to the interaction process and association relationship among individuals in the traditional village system, including the flows of people, economy, information and the like, and reflects the spatial structure of the traditional village system. The reasons for flowing of the traditional villages in the historical period comprise disaster avoidance, manager, life finding and the like, and a flowing foundation is laid in a social interaction range formed by the market trading, so that the flowing of the traditional villages is about ten-in-eight villages and generally does not exceed a daily round trip. Today, traditional village residents can migrate to counties, provinces, or create greater distances by means of modern vehicles in order to obtain resource demands for child education, medical care, administrative services, employment opportunities, etc. Meanwhile, the foreign population may reach the conventional village for leisure travel, natural education, scientific research, industrial development, etc., which causes the conventional village to have an inward and outward flowing relationship.
(3) Toughness represents the ability of a traditional village system to recover steady state after being disturbed, reflecting the dynamic trend of the traditional village system in the time dimension, including three aspects of life, production and ecology characterization. The ecological substrate is an important resource affecting the toughness of the traditional village, and the ecological service value is higher, so that various ecological products can be provided for the village; the population is a core composition affecting the toughness of the traditional village, and families taking marital and blood relationship as cores construct living spaces of the village which are mutually concurrent and blended; the economy is an important guarantee for influencing the toughness of the traditional village, the first industry mainly in agriculture and animal husbandry is an important supporting pillar for the village, the first industry is gradually integrated with the second industry and the third industry along with the development of town, and the traditional village with rich economy has the toughness in the aspects of quick reconstruction, treatment, migration and the like.
The conventional village adaptive circulation path evaluation comprises three criterion layers of locality, flowability and toughness, wherein each criterion layer comprises different index layers, and the three criterion layers are specifically as follows:
(1) The local index layer comprises 4 indexes, namely four types of architecture courtyard, shensheng space, traditional custom and landscape pattern, which respectively represent the scarcity of courtyard and architecture, religion and belief dependence, uniqueness of traditional folk custom and regional village environment, and the selected data are respectively the distance from the nearest relic protection unit, the space distance from the nearest religion temple, the distance from the non-matter cultural heritage and the relief of topography, and the data are obtained by the step 1.2;
(2) The mobility index layer comprises 6 indexes, namely education mobility, medical mobility, administrative mobility, employment mobility (short distance), employment mobility (long distance) and travel behaviors, wherein the opportunity cost of child education acquired by villagers, the opportunity cost of medical service acquired by villagers, the opportunity cost of administrative service acquired by villagers, the opportunity cost of surrounding county and town resources acquired by villagers, the opportunity cost of long-distance city resources acquired by villagers and the probability of tourists reaching villages are respectively indicated, and the data are respectively selected from the space distance from the nearest school point, the space distance from the nearest medical facility point, the space distance from the nearest government point, the space distance from the nearest highway, the space distance from the nearest railway station point and the space distance from the nearest national class A scenic spot, and are obtained by the step 1.2;
(3) The toughness index layer comprises 9 indexes, namely vegetation coverage, precipitation, river distance, intercropping inheritance, population, production, sunshine, air temperature and economy, wherein natural interference resistance recovery capability trend, precipitation fullness, ecological product supply degree, non-matter culture inheritance, human capital intensity, farmland intensive utilization degree, village sunshine regional property, village environment regional, self-repairing and financial security capability are respectively described, and data are selected to be vegetation net primary productivity change trend, precipitation, river water system distance, distance from non-matter culture inheritance person position, population density, farmland reseeding area, solar radiation, air temperature and average area production total value of the ground level market, and are obtained by the step 1.2.
Step 2.2, obtaining weight of each index from an objective angle based on an entropy method, and calculating three characteristic attribute values of locality, fluidity and toughness of the traditional village: in order to obtain index weights of locality, fluidity and toughness, an entropy method is used for objectively weighting each index in the step 2.1. Before the weighting, the data is subjected to unified standardization processing. The entropy method is a mathematical method for determining the dispersion degree of an index, and the larger the dispersion degree is, the larger the influence of the index on comprehensive evaluation is. The degree of dispersion of an index can be determined using the entropy value. The smaller the information entropy, the greater the importance of the index in the comprehensive evaluation, and the greater the weight. The formula is as follows:
d j ＝1-e j (3)
wherein X is ij Is the specific gravity, x of the jth index of the ith village ij E is a normalized index value j Is index information entropy, d j Is the redundancy of information, W j Is index weight, m is the total number of traditional villages in the research range, and n is index number. And (2) according to different index layers contained in the conventional village locality, flowability and toughness three-aspect criterion layer in the step (2.1), combining the index weights, and calculating to obtain the conventional village locality, flowability and toughness three-aspect criterion layer index. The calculation formula is as follows:
In which W is j Is the weight of the j index; p (P) j Is the value of the j index; l (L) i ,M i ,R i Index values of three criterion layers of locality, fluidity and toughness of the traditional village, namely three characteristic attribute values of the traditional village; l, m, n are the total number of index layers contained in three criterion layers of locality, flowability and toughness of the traditional village, respectively, and are 4, 6 and 9 respectively as described above.
Step 2.3, evaluating an adaptive circulation path of the traditional village: according to the characteristic attribute values of the adaptability of the traditional village, namely the locality, the fluidity and the toughness, which are calculated in the step 2.2, an adaptability circulation path model of the traditional village 'locality-fluidity-toughness' is generated, the adaptability is determined by the two characteristic values of the locality, the fluidity and the toughness, namely the high H and the low L, and the calculation formula is as follows:
wherein A is i Is the index value of the local property, fluidity and toughness property of the ith village, namely L in the formula (5) i ,M i ,R i The method comprises the steps of carrying out a first treatment on the surface of the s is the total number of traditional villages in the study range, H is a high value set, and L is a low value set.
The adaptive circulation path of the conventional village is divided into 2 states according to the following table: the circulation stage and the pathological state comprise 8 development stages (development (r), protection (K), release (omega), update (alpha), poverty dilemma, stiffness dilemma, locking dilemma and unknown dilemma) of the traditional village, namely the classification of 8 traditional villages. The specific classification is as follows:
The cycle phase of a traditional village includes: a development (r) phase corresponding to the rapid development period of traditional villages under policy protection and capital injection; secondly, in the protection (K) stage, the traditional village is in a mature stage of development, but more interference is faced at the moment, so that the system is easy to collapse; thirdly, a release (omega) stage, namely a traditional village development overload stage, wherein social reorganization or innovation easily occurs in the stage; fourth, the update (α) phase, then the system goes into a new round of looping.
The pathological states of traditional villages include: firstly, the situation of poverty often occurs in the development stage, and reasons include excessive resource development, economic breakdown and the like; secondly, the stiff dilemma, contrary to the poor dilemma, is characterized by high toughness, high locality and high fluidity; the rigidifying dilemma generally occurs in a protection stage, and if the updating or releasing stage cannot be normally carried out, the rigidifying dilemma can be continuously kept in the consumption of high resources and high funds, and the rigidifying dilemma is entered; thirdly, the locking dilemma is characterized by low locality, high flowability and high toughness. The lock trap generally appears in a release stage, and the traditional village still keeps the existing development mode due to the fact that the traditional village is kept old in a high-bearing and high-consumption stage, so that the lock trap can be possibly entered; fourth, the unknown dilemma is characterized by high locality, low fluidity and low toughness, and the cause of the unknown dilemma is complex, so that the unification is not carried out.
And 3, carrying out quick clustering on three characteristic attribute values of the locality, the fluidity and the toughness of the traditional village, carrying out classification partitioning on the traditional village, and determining a planning strategy for protection control according to the classification partitioning of the traditional village.
Further, the specific steps of the step 3 are as follows:
step 3.1, traditional villages based on Euclidean distance are clustered rapidly: and (3) introducing the four values of the space position, the locality, the fluidity and the toughness of the traditional village into SPSS statistical analysis software for rapid (K-means) clustering by combining the index values of the locality, the fluidity and the toughness of the traditional village obtained in the step (2) and the space position coordinates of the traditional village point in the step (1), wherein the formula is as follows:
wherein d (x ij ,y ij ) For Euclidean distance, x, of conventional village i and conventional village j i ,y i Respectively the abscissa and the ordinate of the i point position vector data of the traditional village, and x j ,y j The abscissa and ordinate of the j point position vector data of the traditional village respectively.
Firstly, determining the clustering number p according to the actual partition requirement of the traditional village; next, a centroid is randomly selected for each cluster, assigning all traditional village data points to clusters closest to this centroid; then, the newly formed centroids of each cluster are recalculated, the step of assigning all traditional village data points to the clusters closest to the centroids is repeated, the newly formed centroids of each cluster are recalculated, and the steps are repeatedly repeated in the same way until three stopping criteria can be used for stopping the fast clustering algorithm: (1) The newly formed cluster centroid does not change the maximum iteration number of the traditional village data points remained in the same cluster, and if the newly formed cluster centroid does not change, the algorithm can be stopped. Even after multiple iterations, all clusters are the same centroid, so to speak, the algorithm does not learn any new pattern, and it is a sign to stop training; (2) After multiple iterations of training, the algorithm may be stopped if the conventional village data points remain unchanged in the same cluster. (3) If the maximum number of iterations is reached, the algorithm may be stopped. The number of iterations is typically set to 100, i.e., the above process will be repeated 100 iterations before stopping. In order to facilitate operation, the traditional villages are classified by adopting a rapid clustering algorithm according to the principle of distance nearest in statistical analysis software.
Step 3.2, determining a traditional village protection control classification partition: and (3) importing the clustering result in the step (3.1) into the conventional village point location vector data in the step (1) through a GIS platform attribute connection tool, determining a protection control partition of the conventional village based on the adaptive circulation path according to the clustering result display of the GIS platform, and counting the conventional village types in 2 states and 8 development stages in the partition.
And 3.3, carrying out traditional village classification and partition protection control planning aiming at different development stages, wherein the principle is as follows:
traditional villages in the circulation phase are in the process of positive growth: (1) For traditional villages in the development (r) stage, both the economy and population are in a rapidly growing state. Therefore, rationalization of weight-bearing land planning and resource utilization is required, ecological environment is protected, infrastructure and public service construction is enhanced, village functions are perfected, development of special industry is promoted, and brand propaganda is enhanced; (2) For traditional villages in the protection (K) stage, the traditional villages enter the mature development stage, and the ecological environment protection and the maintenance of cultural heritage are focused. Therefore, the cultural heritage protection needs to be enhanced, and buildings, cultural landscapes and the like are protected; encourages the protection and development of traditional handicraft articles and creates village characteristic products; the green trip mode is promoted, and the influence on the ecological environment is reduced; (3) For traditional villages in the release (Ω) stage, there is a major revolution in some aspects of traditional villages, and the original economic, population and other modes are broken down and are in an out-of-order state. Therefore, the resource environmental protection needs to be enhanced, and the ecological consciousness is stimulated; promote the development of emerging industries and promote the economic development; land integration and standard management are carried out, and sustainable development of land utilization is ensured; (4) For traditional villages in the update (alpha) stage, after the traditional villages are in a release state, the traditional villages are integrated and recombined again, and the traditional villages enter the next development stage. Therefore, scientific planning is required to be formulated, and infrastructure construction is enhanced; guiding village trend to be suitable for living and modernization; the social service and public management are enhanced, and the life quality of residents is improved.
Traditional villages in a pathological state are in the process of passive decay: (1) For poor and dilemma traditional villages, the traditional villages are in a state of rising or shrinking in the aspects of economy, population and the like, and the situation usually causes the problems of low income of villages, low living standard, poor village treatment capability and the like. The system needs to be guided to enter the development (r) state again, so that the development strength of resources relevant to industry can be reduced; based on the bearing capacity of the resource environment, softer economic compensation and development modes are carried out; the disturbance of construction activities to an ecological system is reduced; establishing an ecological compensation mechanism; encouraging villages to participate in village management; (2) For traditional villages with stiff dilemma, the traditional villages show stiff states in various aspects and cannot adapt to the change of external environment. Therefore, villagers are encouraged to participate in village management, and the autonomy consciousness is improved; new technology and new thought are introduced to promote the innovation and development of the traditional village; increasing policy support efforts to encourage investment and social capital interventions; (3) For traditional villages that are locked into trouble, the traditional villages are in a state of rigidifying or swelling in some aspects, and are difficult to further develop. Therefore, there is a need to encourage industry transformation in traditional villages, enhancing non-cultural heritage protection; the protection force on cultural heritage is increased, and the management mechanism of historical cultural heritage is perfected; developing and implementing development planning, and advancing regional coordinated development; (4) For traditional villages that are not known to be dilemma, problems that are difficult to predict and solve during the development of traditional villages may originate from external environmental changes and from internal structural adjustments. Under the situation, the traditional village needs to take innovative thought to find new development opportunities, particularly needs to analyze individual cases, needs to take innovative thought, introduces new ideas and technologies, and explores new development paths.
Compared with the prior art, the invention has the following advantages: the adaptive circulation path is constructed from the unit attribute, the spatial structure and the dynamic trend of the traditional village, namely the locality, the fluidity and the toughness, and the solidifying phenomenon of the traditional village in a pathological state is effectively judged through the numerical value height combination relation of the three, so that policy formulation and village treatment basis and reference are provided for the village which should be protected preferentially and the village which should be protected from which dimension. Specifically:
(1) Selecting a layer from the adaptability indexes: the method considers multidimensional space and non-space factors such as ecology, economy, environment, culture and the like of the traditional village individuals; from the perspective of the mobility association network among traditional villages, the association relation based on different inflow and outflow resource elements is constructed, and the regional association and the system integrity among individuals, individuals and groups of the traditional villages are considered; from the dynamic trend angle of the traditional village system in the time dimension, the future development potential of three aspects of life, production and ecology is analyzed, and the capability of the traditional village for recovering the steady state in the aspects of rapid reconstruction, treatment, migration and the like of various uncertain interferences is quantitatively reflected. The index is selected objectively, and comprehensive analysis is carried out by using a digital technology platform, so that the whole adaptive circulation path of the traditional village is more scientifically and effectively evaluated from a macroscopic global view.
(2) From the adaptive circulation path level: the traditional village classification partition protection control method is divided based on type and regional characteristics, the technology can effectively conduct time-lapse judgment from the dynamic angle of village time-space evolution, the method with element comprehensiveness, time continuity and development stage advantages is formed, the traditional village current 2 development states and 8 development stages are divided based on the adaptive circulation path through the traditional village current characteristics, the village development stages are classified and partitioned through comprehensive time-lapse change, static time section protection control is not conducted any more, and the traditional village historical relevance and development continuity are concerned.
(3) From the aspects of method applicability and floor-friendliness: the method is not aimed at the traditional village individual cases, but forms an integral, objective and targeted protection development strategy for the traditional village which has characteristics and faces different problems from the whole view of the area, and is beneficial to the connection with the national space planning system, the reinforcement of strategic layout such as policy inclination, fund support and the like for the research and judgment and classification partition protection control of village development from the whole view. The method has wide application range and easy data acquisition, thereby effectively judging the solidification phenomenon of the traditional village in a pathological state and providing policy establishment and village management basis and reference for protecting the village preferentially and protecting the village from the dimensionality.
Drawings
Fig. 1 is a flow chart of a conventional village classification partition protection control method based on an adaptive circulation path.
FIG. 2 is a spatial distribution diagram of 1 st to 5 th 6819 th traditional villages in China according to an embodiment of the present application.
Fig. 3 is a conventional village adaptive circulation path according to an embodiment of the present application.
Fig. 4A to 4C are sequentially diagrams showing spatial distribution changes of locality, fluidity and toughness of 6819 traditional villages in 2000 to 2020 according to the embodiment of the present application.
Fig. 5 is a dynamic diagram of the number of 8 development stage classifications for the conventional village adaptability of 6819 in 2000-2020, according to an embodiment of the present application.
Fig. 6A is a spatial classification diagram of 6819 conventional village adaptation cycle phases from 2000 to 2020, according to an embodiment of the present application.
Fig. 6B is a spatially classified diagram of 6819 traditional village-compliant state of states in 2000-2020, according to an embodiment of the present application.
Fig. 7 is a clustering result (upper graph) and a protection control classification partition graph (lower graph) of 6819 traditional villages based on adaptive circulation paths according to an embodiment of the present application.
Detailed Description
The application is further elucidated below in connection with the drawings and the specific embodiments. It is to be understood that these examples are for the purpose of illustrating the application only and are not to be construed as limiting the scope of the application, since modifications to the application, which are various equivalent to those skilled in the art, will fall within the scope of the application as defined in the appended claims after reading the application.
According to the traditional village classification partition protection control method based on the adaptive circulation path, basic data such as traditional village points in China are firstly obtained, standardized processing is carried out on the data, all the data are imported into a geographic information system platform to establish a database, a traditional village adaptive comprehensive index system is established through three characteristic attributes of locality, mobility and toughness, each index weight is obtained based on an entropy method, the adaptive circulation path evaluation is carried out on traditional villages, and then rapid clustering is carried out on three characteristic values of the adaptability based on Euclidean distance, so that the traditional villages are classified and partitioned, and the traditional village protection control planning strategy formulation of the classification partition is carried out. As shown in fig. 1, the flow of the present invention is as follows:
step 1, a research area is set to 6819 traditional villages, see fig. 2, and in order to construct an adaptive circulation path of the traditional villages, relevant data acquire basic data materials from each network open acquisition platform, wherein the method specifically comprises the following steps:
1.1 Chinese traditional village point location vector data: from the global variation science research data publishing system (https:// www.resdc.cn /). The space coordinates of the data are extracted and referenced to a hundred-degree map and a Google earth image map, the geometric centers of village name prompts and village images are used as the basis, ancient building roof images are used as auxiliary judging materials, and the space positions of villages are extracted. The data comprises 1 st to 5 th batches of traditional villages in China, 6819 total, and the main fields comprise provinces, cities, counties, villages, longitudes and latitudes of the villages.
1.2 Cultural relic protection unit point location vector data): the highest-level immovable cultural relic protection unit approved by the cultural relic administration department (national cultural relic administration) from the national institutes is subjected to name simulation query from a high-level map application program interface (https:// lbs. amp. Com) through a Python program to obtain 1 st to 8 th batches of 5062 national key cultural relic protection unit point location data of China, wherein the data comprises information such as names, types, latitude, longitude and the like.
1.3 Non-material cultural heritage point location vector data, non-material cultural heritage passer-by point location vector data): the national institute published 5 batches of national-level project directories in 2006, 2008, 2011, 2014 and 2021, including ten major categories: folk literature, traditional music, traditional dance, traditional drama, song art, traditional sports, recreation and acrobatics, traditional art, traditional skills, traditional medicine, folk custom. And carrying out name simulation query from a high-Deck map application program interface (https:// lbs. amap.com) through a Python program to obtain 3068 non-genetic recipients and 3610 non-material cultural heritage point data of 5 batches of China, wherein the information comprises names, types, latitude, longitude and the like.
1.4 Religious temple point location vector data, school point location vector data, medical facility point location vector data, government point location vector data, railway station point location vector data, national class a scenic spot location vector data: the data is derived from points of interest (Point of Interest, POI), which refers to geographic points with attribute tags and locations, and can reflect the geographic distribution of different functional spaces in a traditional village. The interest points are derived from a Gooder map of a large map service provider in China, 525043 POI point location data in 2021-year traditional villages are obtained from a Gooder map application program interface (https:// lbs. amap. Com) through a Python program, wherein the POI point location data comprise 324611 schools (kindergarten, elementary school, middle school, higher school, common higher school, national adult higher school) POI point location data, 176783 medical services (clinic, health service center, hospital, national trimethyl hospital and the like), 3204 city and county government POI point location data, 3066 railway station POI point location data, 13604 national class A scenic spot location data, 3775 temple viewing, church, religious temple space POI point location data and the like.
1.5 Terrain relief raster data): spatial distribution data of Chinese altitude (DEM) is first obtained, which is derived from radar topographic survey SRTM (Shuttle Radar Topography Mission, SRTM) data of the American perpetrator space shuttle. And then calculating the gradient, the slope direction and the slope length in the space analysis tool in the GIS, respectively extracting the maximum value and the minimum value of the altitude data by using the focus statistics tool under the neighborhood analysis in the space analysis tool, and subtracting the minimum value of the altitude from the maximum value of the altitude by using the grid calculator to obtain the topographic relief grid data.
1.5 Road vector data): the road network data comprises vector data such as high-speed rails, railways, highways, national roads (including urban expressways, arterial roads and the like), provincial roads (including urban secondary arterial roads and the like), county roads (including urban branches), rural roads (urban pedestrian roads) and the like, and the data is derived from a North large geographic data platform (https:// geodata. Pku. Edu. Cn).
1.6 River water system vector data): the river network data is a Chinese river basin and river network data set extracted based on altitude, and comprises all river networks in the whole country and areas larger than 100km 2 Is defined in the above-mentioned patent document. The river network data used were from the national institutes resource environment science and data center (https:// www.resdc.cn/data. Aspxdataid=335).
1.7 Annual precipitation distribution grid data, solar radiation grid data, annual average air temperature grid data: the space resolution of grid data of three main types of meteorological data (precipitation, solar radiation and air temperature) is 1km from a national earth system science data center (http:// www.geodata.cn), a meteorological data network and a Chinese ground climate data daily value data set.
1.8 Net primary productivity grid data for vegetation: the Net Primary Productivity (NPP) of vegetation refers to the energy absorbed by plants through photosynthesis during primary production, minus the energy consumed by respiration, and can be used to measure plant growth and reproduction. The data were derived from a medium resolution imaging spectrometer MODIS (https:// lpdac.usgs.gov/product_search/.
1.9 Cultivated land reseeding area raster data: the cultivated land reseeding index is an index describing that crops are planted in succession within one year in the same farmland, is an important index for measuring the intensive utilization degree of cultivated land resources, and is derived from global agricultural condition remote sensing rapid report of the national academy of sciences of China, space and day information innovation institute, and the spatial resolution of raster data is 30m.
1.10 Annual population density distribution grid data: the spatial distribution kilometer grid data based on the spatial statistics unit is derived from the national academy of sciences resource science data center, the spatial resolution of the data set is 1km, the unit is people/square kilometer, and the spatial distribution of the population can be reflected well.
1.11 Production total value vector data in the area of the average people of the ground level city: is derived from the Chinese urban statistics annual survey, chinese urban construction statistics annual survey, chinese urban economy annual survey and local statistics annual survey and development report.
1.12 The base data includes: the traditional village historical culture class point location vector data, the traditional village different function space point location vector data, the natural geographic vector, the grid data, the socioeconomic development vector and the grid data. All vector data are imported into a GIS platform to be in shp format, raster data are in img format, and geometric correction is carried out according to a world geodetic system (WGS 1984 version) to be accurate to a reference coordinate system with uniform space.
1.13 According to the four basic data materials in the step 1.12), using a neighborhood analysis tool, a space linking tool and other analysis tools in the GIS to respectively calculate the distance between the point location data of the traditional village and the nearest relics protection unit, the space distance between the point location data of the traditional village and the nearest religious temple, the distance between the point location data of the traditional village and the non-matter cultural heritage and the topography fluctuation degree of the place, and using the point location data of the traditional village as the traditional village locality index in the subsequent step 2.1); respectively calculating the space distance between the traditional village point location data and the nearest school point location, the space distance between the traditional village point location data and the nearest medical facility point location, the space distance between the traditional village point location data and the nearest government point location, the space distance between the traditional village point location data and the nearest highway, the space distance between the traditional village point location data and the nearest railway station point location and the space distance between the traditional village point location data and the nearest country class A scenic spot, and using the traditional village point location data and the space distance between the traditional village point location data and the nearest government point location data as traditional village fluidity indexes in the following step 2.1); and finally, respectively calculating the vegetation net primary productivity change, precipitation value, population density, cultivated land reseeding area, solar radiation, air temperature, total production value of the urban and man-average area of the land, the distance from river water system and the distance from non-matter cultural passers-by position of the traditional village point location data, and using the calculated total production value, the distance from river water system and the distance from the non-matter cultural passers-by position as the traditional village toughness index of the subsequent step 2.1). And carrying out standardized processing on the data, and then importing the data into a GIS platform to establish a traditional village database.
Step 2, constructing an adaptive comprehensive index system of 6819 traditional villages through three characteristic attributes of locality, fluidity and toughness, obtaining weights of 19 indexes from an objective angle based on an entropy method, calculating three characteristic attribute values, and evaluating an adaptive circulation path of the traditional villages, wherein the adaptive comprehensive index system specifically comprises the following steps of:
2.1 Constructing a traditional village adaptability comprehensive index system: taking 6819 traditional village points as objects, three characteristic attributes of locality, fluidity and toughness are calculated to represent unit attributes, spatial structures and dynamic trends, as shown in fig. 4A to 4C. The traditional village adaptability comprehensive index system is as follows:
2.2 Obtaining each index weight from an objective angle based on an entropy value method: in order to obtain index weights of locality, flowability and toughness, the indexes in the step 2.1) are objectively weighted by using an entropy method (formula (1) to formula (4)). Before the weighting, unified standardization processing is carried out on the data. The weighting results are as follows:
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2.3 According to the different index layers contained in the conventional village locality, flowability and toughness three-aspect rule layers in the step 2.1), and by combining the index weights in the step 2.2), 6819 conventional village locality, flowability and toughness three-aspect rule layer index values are obtained through calculation in the formula (5).
2.4 Adaptive circulation path evaluation for traditional villages: according to the characteristic attributes of the adaptability of the traditional village, namely the locality, the fluidity and the toughness, which are obtained by calculation in the step 2.3), an adaptability circulation path model of the traditional village 'locality-fluidity-toughness' is generated, and according to the formulas (6) to (7), the adaptability is determined by the two characteristic values of the locality, the fluidity and the toughness, namely the high H and the low L. The adaptive circulation path of 6189 traditional villages is divided into 2 states according to the following table: the circulatory phase and pathological state comprise 8 development phases (development (r), protection (K), release (omega), update (alpha), poverty, stiffness, locking and unknowing) of the traditional village. The specific classification is as follows:
fig. 5 and fig. 6A and 6B are the classification numbers and spatial distribution of 2 states and 8 stages of development of 6819 conventional village adaptive circulation paths from 2000 to 2020.
As can be seen from fig. 5, the 8 development stage types of 6819 traditional villages from 2000 to 2020 have a substantially stable ratio, and the order from large to small is as follows: poverty dilemma, development (r), unknown dilemma, updating (α), locking dilemma, releasing (Ω), protection (K), stiff dilemma. The number of villages in the circulating and sick states was substantially leveled over 5 years. Part of the cycle phase of traditional villages is in cyclic conversion in 2000-2020, but remains totally dynamic stable. The 4 cyclic states of development (r), protection (K), release (Ω) and update (α) are transformed more strongly, while the 4 pathological states of poverty, unknown dilemma, locking dilemma and stiff dilemma are transformed more weakly, indicating that the list of villages in the pathological state is basically stable and gradually solidified. When the traditional villages in most circulation stages are disturbed by the outside, the traditional villages enter the next circulation stage from the previous circulation stage, so that the dynamic health state is maintained, only a small part of the traditional villages break through the threshold value of the adaptive circulation, and the traditional villages enter the pathological state. The conversion from 2000 to 2005 is the most intense, the conversion in other years is more balanced, which shows that the traditional villages from 2000 to 2005 are subjected to the greatest degree of external interference, and the other periods basically show more stable cyclic conversion. Protection (K), release (omega), rigidification dilemma, locking dilemma conversion paths are stable in 2000-2020, and only a few village states are circularly converted. Development (r), poverty is a type of transformation of two types with relatively high degrees of transformation, and in the 5 years of nearly 20, development (r) and poverty are evenly transformed with villages. In addition, the number of villages that updated (α) to an unknown dilemma is also apparent.
As can be seen from fig. 6A and 6B, the cycle phase of 6819 conventional villages: occupying the main states are the development (r) phase and the update (α) phase. The development (r) stage is mainly distributed in the southern provinces, which shows that the traditional villages in the southern provinces are in the rapid development period under policy protection and capital injection; the updating (alpha) stage is mainly distributed in Yunnan, zhejiang and Fujian, the 3 provinces of traditional villages have spent a rapid development period, and enter an unstable recombination or innovation period after overload development; the protection (K) and release (omega) are randomly distributed in the whole domain, and the trend that the Yunnan changes from updating (alpha) to the protection (K) in 2000-2005 is obvious, which indicates that the Yunnan has entered the development maturity of the second period from an uncertain state in the first period. According to the pathological state of 6819 traditional villages: the main states are poverty and unknown poverty, poverty is mainly distributed in middle and north provinces, and the provinces break through a threshold value of circulation in a development stage due to excessive resource development, economic collapse and the like, so that poverty is overcome; the distribution of unknown dilemma has obvious aggregation characteristics, is mainly distributed in the middle and west areas, and is particularly concentrated in Yunnan and Shanxi; the locking dilemma is covered in the middle part, the south part and the east part, and is particularly concentrated in Anhui-Zhejian-Fujian-Guangdong, the policy protection and the capital injection degree in the areas are high, but the traditional village cannot be upgraded and optimized better due to the limited resources of the traditional village; the traditional villages with stiff dilemma have a smaller duty cycle and a more random distribution.
And 3, quickly clustering 6819 traditional village locality, fluidity and toughness values obtained in the step 2, classifying and partitioning traditional villages, and determining a planning strategy of protection control according to the traditional village classification and partitioning.
3.1 Conventional village fast clustering based on euclidean distance: according to 6819 traditional village locality, mobility and toughness values, space position coordinates are obtained through traditional village point position vector data in the step 1, four values of the traditional village spatial position, locality, mobility and toughness are imported into SPSS statistical analysis software for rapid clustering, the number of clusters is determined to be 10, the iteration number is set to be 100, therefore, the traditional village is classified into 10 types according to the nearest principle by adopting a Euclidean distance-based method, the traditional village is connected with a tool through a GIS platform attribute, the traditional village point position vector data in the step 1 is imported, and according to the clustering result of a GIS platform, the result of protection control classification and partitioning of 6819 traditional villages based on an adaptive circulation path is displayed in the step 7.
3.2 According to fig. 7, the conventional village classification zonal protection control plan is performed according to the following principles:
(1) For the traditional village in the development (r) and protection (K) stages, the active growth process can keep the protection and development process of the current industry, promote and improve the living environment of residents and promote the ecological value;
(2) For traditional villages releasing (omega) and updating (alpha) states, the traditional villages are easily interfered by the outside, the recombination of the system occurs, the current situation characteristics of the ecological industry need to be based on the current situation characteristics of the ecological industry, and the contents such as land utilization, industry development, residential point layout, human living environment improvement, ecological protection, historical cultural inheritance and the like are considered, so that the coordination relationship between ecology and industry is enhanced;
(3) For poor and dilemma traditional villages, the development intensity of resources related to industry is reduced, softer economic compensation and development modes are carried out based on the bearing capacity of the resource environment, disturbance of construction activities to an ecological system is reduced, an ecological compensation mechanism is established, and the ecological compensation mechanism is guided to enter a development (r) state again;
(4) For the traditional villages with stiff dilemma and locking dilemma, the process of consuming high resources and high funds is kept, the transformation of the industrial structure is needed, the management and control of bottom pipes are emphasized aiming at the current situation of shortage of ecological resources of the villages, a negative list of village development is formulated, and a more complex and green endogenous economic system is constructed;
(5) For traditional villages with unknown dilemma, individual analysis is needed, and planning, development, management and policy guidance are performed in a targeted manner from the aspects of regional ecological system balance and industrial development.
While the present invention has been described with reference to the above embodiments, it will be apparent to those skilled in the art that changes, modifications, substitutions, integration and variations can be made therein without departing from the spirit and scope of the invention.
Claims (6)
1. A traditional village classification partition protection control method based on an adaptive circulation path comprises the following steps:
1) Basic data materials are obtained, standardized processing is carried out on the data, and all the data are imported into a geographic information system platform to establish a traditional village database; wherein the base data material comprises: the traditional village historical culture point location vector data, the traditional village different function space point location vector data, natural geographic vector and grid data, and socioeconomic development vector and grid data;
2) Constructing a traditional village adaptability comprehensive index system through three characteristic attributes of locality, fluidity and toughness, obtaining each index weight from an objective angle based on an entropy method, calculating three characteristic attribute values, and performing adaptability circulation path evaluation on the traditional village;
3) And 3) carrying out rapid clustering on the locality, flowability and toughness values of the traditional villages obtained in the step 2), classifying and partitioning the traditional villages, and determining a planning strategy for protection control according to the classification and partitioning of the traditional villages.
2. The method of claim 1, wherein step 1) comprises:
1.1 Acquiring basic data materials from each network open acquisition platform, including: (I) traditional village history culture class point location vector data: traditional village points, cultural relic protection unit points, relics temple points, non-material cultural heritage points and non-material cultural heritage points; (II) space point position vector data of different functions of traditional villages: school points, medical facilities points, government points, railway stations points, and national class a scenic spots; (III) natural geographic vectors and raster data: river water system vector data, topographic relief grid data, vegetation net primary productivity grid data, annual precipitation distribution grid data, cultivated land reseeding area grid data, solar radiation grid data and annual average air temperature grid data; (IV) socioeconomic development vector and raster data: road vector data, annual population density distribution grid data and global value vector data produced in the area of the urban mass and the average of people; importing the data into a geographic information system platform, wherein vector data adopts shp format, raster data adopts img format, and geometric correction is performed according to a world geodetic system to a reference coordinate system with uniform space;
1.2 According to the four basic data materials in the step 1.1), using a neighborhood analysis tool, a space analysis tool and a space connection tool in a geographic information system to respectively calculate the distance between the point location data of the traditional village and the nearest relics protection unit, the space distance between the point location data of the traditional village and the nearest religious temple, the distance between the point location data of the traditional village and the non-matter cultural heritage distance and the topography fluctuation degree of the place, and using the point location data of the traditional village as the traditional village locality index in the subsequent step; respectively calculating the space distance between the traditional village point location data and the nearest school point location, the space distance between the traditional village point location data and the nearest medical facility point location, the space distance between the traditional village point location data and the nearest government point location, the space distance between the traditional village point location data and the nearest highway, the space distance between the traditional village point location data and the nearest railway station point location and the space distance between the traditional village point location data and the nearest national class A scenic spot, and using the traditional village point location data and the space distance between the traditional village point location data and the nearest government point location data as traditional village fluidity indexes in the subsequent steps; finally, respectively calculating vegetation net primary productivity change, precipitation value, population density, cultivated land reseeding area, solar radiation, air temperature, total production value of the urban and man-average area of the land, distance from river water system and distance from non-matter cultural passers-by position of the traditional village point location data, and using the total production value, the distance from river water system and the distance from non-matter cultural passers-by position as traditional village toughness indexes of the subsequent steps; and (3) carrying out standardized processing on the data, and then importing the data into a geographic information system platform to establish a traditional village database.
3. The method of claim 1, wherein step 2) comprises:
2.1 Constructing a traditional village adaptability comprehensive index system: the method is characterized in that a traditional village point is taken as an object, the dynamic response process of a development path of the traditional village in a system adaptive circulation stage under the condition of coping with external interference is expressed through the change of three characteristic attributes of locality, mobility and toughness, wherein the locality is the unit attribute of the traditional village as a system, the mobility is the interaction process and association relationship among individuals in the traditional village system, the toughness represents the capability of recovering a steady state after the traditional village system is interfered, and the dynamic trend of the traditional village system in the time dimension is reflected; the three criterion layers of locality, flowability and toughness each comprise a plurality of different index layers;
2.2 Obtaining each index weight from an objective angle based on an entropy value method: and (2) objectively weighting each index of locality, fluidity and toughness in the step 2.1) by using an entropy method, wherein the formula is as follows:
d j ＝1-e j (3)
wherein X is ij Is the specific gravity, x of the jth index of the ith village ij E is a normalized index value j Is index information entropy, d j Is the redundancy of information, W j Is index weight, m is the total number of traditional villages in the research range, and n is index number;
According to different index layers contained in the conventional village locality, flowability and toughness three-aspect criterion layers in the step 2.1), combining the index weights, and calculating to obtain the conventional village locality, flowability and toughness three-aspect criterion layer indexes; the calculation formula is as follows:
wherein W is j Is the weight of the j index; p (P) j Is the value of the j index; l (L) i ,M i ,R i Index values of three criterion layers of locality, fluidity and toughness of the traditional village, namely three characteristic attribute values of the traditional village; l, m and n are the total number of index layers contained in three criterion layers of locality, flowability and toughness of the traditional village respectively;
2.3 Adaptive circulation path evaluation for traditional villages: generating an adaptive circulation path model of the traditional village 'locality-fluidity-toughness' according to the three characteristic attribute values of the locality, fluidity and toughness of the traditional village obtained by the calculation in the step 2.2), and determining the adaptability by the two characteristic values of the locality, fluidity and toughness, namely high H and low L; the calculation formula is as follows:
wherein A is i Is the index value of the local property, fluidity and toughness property of the ith village, namely L in the formula (5) i ,M i ,R i The method comprises the steps of carrying out a first treatment on the surface of the s is the total number of traditional villages in the research range, H is a high-value set, and L is a low-value set;
The adaptive circulation path of the conventional village is divided into 2 states according to the following table: cycling stages and pathological conditions;
the cyclic stage comprises 4 development stages of development, protection, release and update, and the pathological state comprises 4 development stages of poverty, stiffness, locking and unknown dilemma, namely classification of 8 traditional villages.
4. The method according to claim 3, wherein in the step 2), the local index layer comprises four categories of building courtyard, shensheng space, traditional custom and mountain-water pattern, which respectively represent the scarcity of courtyard and building, religion and belief dependence, the uniqueness of traditional folk custom and the regional nature of village environment, and the selected data are respectively the distance from the nearest cultural relics protection unit, the distance from the nearest religion temple space, the distance from the non-matter cultural heritage and the relief of topography; the mobility index layer comprises education mobility, medical mobility, administrative mobility, short-distance employment mobility, long-distance employment mobility and travel behaviors, and the education mobility index layer respectively indicates opportunity cost of child education acquired by villagers, opportunity cost of medical service acquired by villagers, opportunity cost of administrative service acquired by villagers, opportunity cost of surrounding county and town resources acquired by villagers, opportunity cost of long-distance city resources acquired by villagers and probability of tourists reaching villages, and the data are selected to be space distance from a nearest school point, space distance from a nearest medical facility point, space distance from a nearest government point, space distance from a nearest highway, space distance from a nearest railway station point and space distance from a nearest national class A scenic spot; the index layer of toughness comprises vegetation coverage, precipitation, river distance, intercropping, population, production, sunshine, air temperature and economy, and describes natural interference resistance recovery capability trend, precipitation fullness, ecological product supply degree, non-matter culture inheritance, human capital intensity, farmland intensive utilization degree, village sunshine territory, village environment territory, self-repairing and financial guarantee capability respectively, and selection data are vegetation net primary productivity change trend, precipitation, river water distance, distance from non-matter culture inheritance person position, population density, farmland reseeding area, solar radiation, air temperature and production total value of a ground level city average region respectively.
5. A method according to claim 3, wherein step 3) comprises:
3.1 Conventional village fast clustering based on euclidean distance: according to the index values of the locality, the fluidity and the toughness of the traditional village obtained in the step 2), the space position coordinates are obtained by combining the vector data of the point positions of the traditional village in the basic data in the step 1), and the four values of the space position, the locality, the fluidity and the toughness of the traditional village are imported into SPSS statistical analysis software for rapid clustering; the formula of the European distance-based rapid clustering method is as follows:
wherein d (x ij ,y ij ) For Euclidean distance, x, of conventional village i and conventional village j i ,y i Respectively the abscissa and the ordinate of the i point position vector data of the traditional village, and x j ,y j Respectively the abscissa and the ordinate of the j point position vector data of the traditional village; determining the number p of clusters according to the actual partition requirement of the traditional villages, randomly selecting a centroid for each cluster, and distributing all traditional village data points to the clusters closest to the centroid; then, re-calculating the mass center of each newly formed cluster, repeating the step of distributing all traditional village data points to the cluster closest to the mass center, re-calculating the mass center of each newly formed cluster, and repeating the steps in the statistical analysis software according to the principle of closest distance, and repeating until the cluster group to which the traditional village belongs is not changed;
3.2 Determining a traditional village protection control classification partition: importing the clustering result in the step 3.1) into the traditional village point location vector data in the basic data material in the step 1) through a geographic information system platform attribute connection tool, determining a protection control partition of the traditional village based on an adaptive circulation path according to the clustering result display of the geographic information system platform, and counting the 2 states and the traditional village types in 8 development stages in the partition;
3.3 Conventional village classification zoning protection control planning is conducted for different development stages.
6. The method of claim 5, wherein step 3.3) performs a conventional village classification zoning protection control plan according to the following principles:
(a) For traditional villages in the development stage, rationalization of weight-injected land planning and resource utilization is required, ecological environment is protected, infrastructure and public service construction are enhanced, village functions are perfected, development of special industries is promoted, and brand propaganda is enhanced;
(b) For traditional villages in the protection stage, cultural heritage protection is required to be enhanced, and buildings and cultural landscapes are protected; encourages the protection and development of traditional handicraft articles and creates village characteristic products; the green trip mode is promoted, and the influence on the ecological environment is reduced;
(c) For traditional villages in the release stage, the resource environment protection needs to be enhanced, and the ecological consciousness is stimulated; promote the development of emerging industries and promote the economic development; land integration and standard management are carried out, and sustainable development of land utilization is ensured;
(d) For traditional villages in the updating stage, scientific planning is required to be formulated, and infrastructure construction is enhanced; guiding village trend to be suitable for living and modernization; social service and public management are enhanced, and the life quality of residents is improved;
(e) For poor and dilemma traditional villages, the villages need to be guided to enter a development state again, so that the development strength of resources relevant to industry is reduced; based on the bearing capacity of the resource environment, softer economic compensation and development modes are carried out; the disturbance of construction activities to an ecological system is reduced; establishing an ecological compensation mechanism; encouraging villages to participate in village management;
(f) For the traditional villages with stiff dilemma, villagers are required to be encouraged to participate in village treatment, so that the autonomy consciousness is improved; new technology and new thought are introduced to promote the innovation and development of the traditional village; increasing policy support efforts to encourage investment and social capital interventions;
(g) For traditional villages with a locked dilemma, the traditional villages need to be encouraged to carry out industrial transformation, and the non-cultural heritage protection is enhanced; the protection force on cultural heritage is increased, and the management mechanism of historical cultural heritage is perfected; developing and implementing development planning, and advancing regional coordinated development;
(h) For traditional villages with a locked dilemma, the traditional villages need to be encouraged to carry out industrial transformation, and the non-cultural heritage protection is enhanced; the protection force on cultural heritage is increased, and the management mechanism of historical cultural heritage is perfected; and (5) developing and implementing development planning, and advancing regional coordinated development.
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