CN110070279B - Land use efficiency quantitative evaluation method and system based on multi-source data and storage medium - Google Patents
Land use efficiency quantitative evaluation method and system based on multi-source data and storage medium Download PDFInfo
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Abstract
The invention discloses a land use efficiency quantitative evaluation method, a land use efficiency quantitative evaluation system and a storage medium based on multi-source data, wherein the method comprises the following steps: acquiring road network information, and dividing an area to be evaluated into fine area units according to the road network information; acquiring government affair geographic information, generating a geographic code according to the government affair geographic information, and converting the geographic code into coordinate information; performing nearest neighbor space matching according to the fine area unit and the coordinate information to obtain optimized coordinate information; calculating efficiency indexes according to the land areas corresponding to the optimized coordinate information to obtain a calculation result; and displaying the calculation result in a spatialization mode. According to the invention, by comparing the positioning accuracy grades, high-grade positioning accuracy data is selected as a final spatial position, so that the problem of 'drift' of data positioning is solved, the data utilization rate is improved, the data are distributed to a land parcel, the data coverage rate is improved, and a fine real-time evaluation result can be constructed.
Description
Technical Field
The invention relates to the field of data processing, in particular to a land utilization efficiency quantitative evaluation method and system based on multi-source data and a storage medium.
Background
Under the background of unified natural resources, the system for saving intensive land for perfection, inventory of land for living construction and improving the land utilization efficiency are realized, the space needs to be excavated from the updating and utilization in the urban development, the concept of low-efficiency land utilization is provided for the government, and the 'guidance suggestion of deeply promoting the low-efficiency land utilization of cities to be repeated' is provided to promote the work of updating and developing the inventory of land. The problem to be solved in the process of promoting the land updating development is how to scientifically carry out overall guidance on the time sequence of development and ensure that the transformation and development work is stably and orderly developed. Therefore, quantitative evaluation research on the efficiency of the land is required.
Government affair data are important sources of evaluation indexes, such as water and electricity consumption, tax payment of industrial and commercial enterprises and the like, and the data are non-spatial data in a tabular form, so that the conventional quantitative technical evaluation method is divided into two types, namely rough quantitative evaluation in a large range and fine quantitative evaluation in a small range. The wide-range evaluation method comprises the following steps: the evaluation index is derived from total indexes such as population and total industrial production value counted by taking the administrative district as a unit, and the counted minimum administrative district range is the town street unit, so that the evaluation scale is finest and can only reach the town street range, and the time sequence guiding significance for city updating is not large. The small-range evaluation method comprises the following steps: since the government affair data do not fall on the space, the acquisition of small-scale quantitative indexes requires visiting and exploring streets, industrial parks and the like in the research area, consumes manpower and material resources, and is not suitable for being popularized in a large range.
With the development of geographic information technology, the occurrence of geographic coding technology can solve the problem of spatial processing of non-spatial government affair data, accurate landing of data can be realized only by literal address description information, technical support is provided for the realization of a large-scale precise evaluation method, and how to design a method for evaluating land use efficiency in space is urgent.
Disclosure of Invention
In order to solve at least one technical problem, the invention provides a land use efficiency quantitative evaluation method, a land use efficiency quantitative evaluation system and a storage medium based on multi-source data.
In order to achieve the above object, a first aspect of the present invention provides a land utilization efficiency quantitative evaluation method based on multi-source data, including:
acquiring road network information, and dividing an area to be evaluated into fine area units according to the road network information;
acquiring government affair geographic information, generating a geographic code according to the government affair geographic information, and converting the geographic code into coordinate information;
performing nearest neighbor space matching according to the fine area unit and the coordinate information to obtain optimized coordinate information;
calculating efficiency indexes according to the land areas corresponding to the optimized coordinate information to obtain a calculation result;
and displaying the calculation result in a spatialization mode.
In this embodiment, after the converting the geocode into the coordinate information, the method further includes:
acquiring a plurality of operation information of the target object according to the government affair geographic information;
geocoding the plurality of operation information to obtain a plurality of longitude and latitude information and corresponding precision grades;
and selecting longitude and latitude information with high precision grade as final target object positioning information.
In this scheme, the performing nearest neighbor space matching according to the fine area unit and the coordinate information specifically includes:
acquiring coordinate information of a target object, and judging whether the coordinate information is in a preset plot area;
if the current region is not in the preset region, acquiring coordinate information of the region closest to the coordinate information;
and taking the coordinate information of the land area as the optimized coordinate information.
In this scheme, after the performing nearest neighbor space matching to obtain the optimized coordinate information, the method further includes:
obtaining land area information, and expanding the land area by one level according to a preset rule to obtain expanded land area information;
calculating the total index value of the enlarged land area;
and distributing the index values to a plurality of land areas in the expanded land areas according to a preset rule.
In this scheme, the efficiency index calculation is performed according to the land area corresponding to the optimized coordinate information to obtain a calculation result, specifically:
dividing the plot area into a first-level area and a second-level area;
calculating the ratio of the industrial electricity consumption and the industrial tax payment of the first-level area to obtain an input-output index value;
and calculating the average residential area power utilization index of the second-level area, and obtaining the unit power utilization density according to the ratio of the total residential power utilization amount to the area of the land.
In this scheme, still include:
acquiring population density, input-output index and unit power consumption density index of a first-level area and a second-level area;
carrying out normalization processing on the population density, input-output index and unit power density index of the first-level area and the second-level area;
calculating the unit electricity density standard value of the first-level area multiplied by the resident population density standard value, and then taking the value of the root number 2;
and calculating the input-output index value of the second-stage area multiplied by the working population density standard value, and then taking the value of the root number 2.
The second aspect of the present invention further provides a land use efficiency quantitative evaluation system based on multi-source data, which includes: the system comprises a memory and a processor, wherein the memory comprises a multisource data-based land use efficiency quantitative evaluation method program, and the multisource data-based land use efficiency quantitative evaluation method program realizes the following steps when being executed by the processor:
acquiring road network information, and dividing an area to be evaluated into fine area units according to the road network information;
acquiring government affair geographic information, generating a geographic code according to the government affair geographic information, and converting the geographic code into coordinate information;
performing nearest neighbor space matching according to the fine area unit and the coordinate information to obtain optimized coordinate information;
calculating efficiency indexes according to the land areas corresponding to the optimized coordinate information to obtain a calculation result;
and displaying the calculation result in a spatialization mode.
In this embodiment, after the converting the geocode into the coordinate information, the method further includes:
acquiring a plurality of operation information of the target object according to the government affair geographic information;
geocoding the plurality of operation information to obtain a plurality of longitude and latitude information and corresponding precision grades;
and selecting longitude and latitude information with high precision grade as final target object positioning information.
In this scheme, the performing nearest neighbor space matching according to the fine area unit and the coordinate information specifically includes:
acquiring coordinate information of a target object, and judging whether the coordinate information is in a preset plot area;
if the current region is not in the preset region, acquiring coordinate information of the region closest to the coordinate information;
and taking the coordinate information of the land area as the optimized coordinate information.
In this scheme, after the performing nearest neighbor space matching to obtain the optimized coordinate information, the method further includes:
obtaining land area information, and expanding the land area by one level according to a preset rule to obtain expanded land area information;
calculating the total index value of the enlarged land area;
and distributing the index values to a plurality of land areas in the expanded land areas according to a preset rule.
In this scheme, the efficiency index calculation is performed according to the land area corresponding to the optimized coordinate information to obtain a calculation result, specifically:
dividing the plot area into a first-level area and a second-level area;
calculating the ratio of the industrial electricity consumption and the industrial tax payment of the first-level area to obtain an input-output index value;
and calculating the average residential area power utilization index of the second-level area, and obtaining the unit power utilization density according to the ratio of the total residential power utilization amount to the area of the land.
In this scheme, still include:
acquiring population density, input-output index and unit power consumption density index of a first-level area and a second-level area;
carrying out normalization processing on the population density, input-output index and unit power density index of the first-level area and the second-level area;
calculating the unit electricity density standard value of the first-level area multiplied by the resident population density standard value, and then taking the value of the root number 2;
and calculating the input-output index value of the second-stage area multiplied by the working population density standard value, and then taking the value of the root number 2.
The third aspect of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium includes a program of a land use efficiency quantitative evaluation method based on multi-source data, and when the program of the land use efficiency quantitative evaluation method based on multi-source data is executed by a processor, the method realizes the steps of the land use efficiency quantitative evaluation method based on multi-source data as described in any one of the above items.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flow chart of a land use efficiency quantitative evaluation method based on multi-source data according to the invention;
FIG. 2 is a block diagram of a land use efficiency quantitative evaluation system based on multi-source data according to the present invention;
FIG. 3 illustrates a method flow diagram of an embodiment of the quantitative assessment method of the present invention;
FIG. 4 shows a data diagram of encoding precision optimization of an embodiment of the present invention;
FIG. 5 illustrates a correction diagram of the drift point for an embodiment of the present invention;
FIG. 6 is a schematic diagram of a land parcel group allocation method according to an embodiment of the invention;
fig. 7 is a diagram illustrating a result of quantitative evaluation according to an embodiment of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and thus the scope of the present invention is not limited by the specific embodiments disclosed below.
FIG. 1 is a flow chart of a land utilization efficiency quantitative evaluation method based on multi-source data according to the invention.
As shown in fig. 1, in order to achieve the above object, a first aspect of the present invention provides a land use efficiency quantitative evaluation method based on multi-source data, including:
s102, road network information is obtained, and according to the road network information, an area to be evaluated is divided into fine area units.
S104, acquiring government affair geographic information, generating a geographic code according to the government affair geographic information, and converting the geographic code into coordinate information.
And S106, performing nearest neighbor space matching according to the fine area unit and the coordinate information to obtain optimized coordinate information.
And S108, calculating the efficiency index according to the land area corresponding to the optimized coordinate information to obtain a calculation result.
And S110, displaying the calculation result in a spatialization form.
It should be noted that, the road network information may be acquired through some navigation software or data of a navigation background, or may be acquired as the road network information of the current state of territory. The road network information is acquired, for example, by the high-rise map navigation software. And partitioning the old villages and old factory sites in the research area through a fine navigation road network to obtain an evaluated fine unit.
Specifically, in the step of dividing the area to be evaluated into fine area units, the method further includes a manual checking process, which specifically includes:
generating a first fine area unit according to the road network information;
receiving a parameter of the altered first fine region unit;
altering the first fine region unit according to the parameter.
After the first fine area unit is obtained, a manual operation may be performed to perform a calibration, and the parameter of the first fine area unit is changed to obtain a new first fine area unit as a final fine area unit.
It should be noted that, the method includes acquiring government affair geographic information, generating a geographic code according to the government affair geographic information, and converting the geographic code into coordinate information, and may implement coordinate conversion on a text address for a geographic code API through government affair geographic data supplement and navigation software, for example, a high-grade map. The government affair geographic information can be acquired by a government affair background and can also be input by technicians.
It should be noted that, in the step, nearest neighbor space matching is performed according to the fine region unit and the coordinate information, so as to obtain optimized coordinate information. Due to the problems of position interference or geocoding deviation, a certain random offset error exists in part of coordinate points, and a small number of points deviate from the evaluation unit. Spatial correction of the point of departure is performed by this step.
It should be noted that, after the optimized coordinate information is obtained, the efficiency index is calculated according to the land area corresponding to the optimized coordinate information, so as to obtain a calculation result. The parcel area is a target area to be measured, and may be a street, a village and town, and the like, and the target area to be measured can be determined according to actual needs of a person skilled in the art. After the coordinate information is optimized, efficiency indexes such as power consumption, financial data, and residential density can be calculated for the areas, and the invention is not particularly limited to the indexes, but any method for quantitative statistics through the technical scheme of the invention will fall into the protection scope of the invention. After the results are calculated, the calculation results are presented in a spatialized form. The spatialization form can be a display form of a 2D map, a 3D map and a data table. The person skilled in the art can determine the spatialized representation according to the actual needs.
According to an embodiment of the present invention, after the converting the geocode into the coordinate information, the method further includes:
acquiring a plurality of operation information of the target object according to the government affair geographic information;
geocoding the plurality of operation information to obtain a plurality of longitude and latitude information and corresponding precision grades;
and selecting longitude and latitude information with high precision grade as final target object positioning information.
It should be noted that, a plurality of management information of the government affair information are obtained, and then the address of the corresponding record is determined through the management information, so as to obtain the geocode. Each of the information corresponds to latitude and longitude information, i.e., coordinate information, and a corresponding accuracy level. The accuracy level is specific location level information indicating a geographical location, and the higher the level is, the more detailed the address is. And finally, selecting latitude and longitude information with high precision grade as final target object positioning information. I.e. selecting the more detailed coordinates of the address as the positioning information of the target object.
For example, each record in the government affair geographic data usually has two address information, for example, the industrial tax data includes a taxpayer name and a production operation address, the two attributes of the same record both include description information of a geographic position, the two addresses are respectively geocoded at the same time to obtain two interpreted latitude coordinates and positioning accuracy, and the positioning accuracy is high to be used as a final positioning result.
According to the embodiment of the present invention, the performing nearest neighbor space matching according to the fine area unit and the coordinate information specifically includes:
acquiring coordinate information of a target object, and judging whether the coordinate information is in a preset plot area;
if the current region is not in the preset region, acquiring coordinate information of the region closest to the coordinate information;
and taking the coordinate information of the land area as the optimized coordinate information.
It should be noted that, as a result of geocoding, there may be a national bureau coordinate (GCJ02), where there is an encryption position interference, resulting in a certain random offset error for some coordinate points, and a small number of points may deviate from the evaluation unit, so that nearest neighbor spatial matching is required. Firstly, coordinate information of a target object is obtained, and whether the coordinate information is in a preset block area or not is judged. The preset plot area may be a non-road area, a lake, a hill, or the like, for example, if the coordinate information is on a certain main road, it indicates that the area is not in the preset area. And if the current region is not in the preset region, acquiring the coordinate information of the region closest to the coordinate information. Wherein the land area is required to be a land conforming to a preset area. After the land area is acquired, the coordinate information of the land area is used as the optimized coordinate information. Since the land area is an area range, there are a plurality of coordinate points, and therefore, it is preferable to select the coordinates of the center point of the land area as the optimized coordinate information. Of course, those skilled in the art can set the coordinate information position of the land area according to actual needs.
According to the embodiment of the present invention, after the performing nearest neighbor space matching to obtain the optimized coordinate information, the method further includes:
obtaining land area information, and expanding the land area by one level according to a preset rule to obtain expanded land area information;
calculating the total index value of the enlarged land area;
and distributing the index values to a plurality of land areas in the expanded land areas according to a preset rule.
It should be noted that, because the index after partial geocoding has a problem of insufficient coverage, the present invention adopts a method for allocating a block group to solve the problem, specifically, one level is expanded upwards on the basis of a block unit. Firstly, obtaining the information of the land area, and expanding the land area by one level according to a preset rule to obtain the expanded information of the land area. For example, if the obtained parcel region information is a street, the range from one level to a business district may be expanded, wherein the business district range may include a plurality of parcel regions, that is, may include a plurality of streets. Then, the total index value of the enlarged land area is calculated. And distributing the index value to a plurality of land areas in the expanded land areas according to a preset rule. Wherein the expanded plot area comprises a plurality of plot areas. In addition, the preset rule may be preset by a technician, for example, the total index value may be divided into a plurality of block areas on average, and according to the above embodiment, the total index value of the business circle may be divided into each street in the business circle on average.
According to the embodiment of the present invention, the calculating of the efficiency index according to the region of the parcel corresponding to the optimized coordinate information to obtain the calculation result specifically includes:
dividing the plot area into a first-level area and a second-level area;
calculating the ratio of the industrial electricity consumption and the industrial tax payment of the first-level area to obtain an input-output index value;
and calculating the average residential area power utilization index of the second-level area, and obtaining the unit power utilization density according to the ratio of the total residential power utilization amount to the area of the land.
It should be noted that the first-level area is an old village area, and the second area is an old factory area. Then, calculating the ratio of the industrial electricity consumption and the industrial taxes of the first-level area to obtain an input-output index value; and calculating the average residential area power utilization index of the second-level area, and obtaining the unit power utilization density according to the ratio of the total residential power utilization amount to the area of the land. The skilled person can calculate different index values according to actual needs, but any solution calculated by the quantitative evaluation method of the present invention will fall into the scope of the present invention.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring population density, input-output index and unit power consumption density index of a first-level area and a second-level area;
carrying out normalization processing on the population density, input-output index and unit power density index of the first-level area and the second-level area;
calculating the unit electricity density standard value of the first-level area multiplied by the resident population density standard value, and then taking the value of the root number 2;
and calculating the input-output index value of the second-stage area multiplied by the working population density standard value, and then taking the value of the root number 2.
It should be noted that, when the first-level region and the second-level region are calculated, the specific calculation formula is as follows:
land for old plants:
the land utilization efficiency of old factories needs to take into account input and output and use strength, and the low efficiency of any index can reduce the land utilization efficiency.
Land for old villages:
the land utilization efficiency of old villages needs to take the vacancy rate and the use strength into consideration, and the land utilization efficiency is reduced due to the low efficiency of any index.
It should be noted that, in order to eliminate the dimension and extreme value influence of different indexes, the population density, input-output index and unit power consumption density index of the old village and the old factory are normalized in a segmented manner, and the formula is as follows:
IQR＝(Q3-Q1)
xlow_outlier＝Q3-1.5×IQR
xup_outlier＝Q3+1.5×IQR
Xnorm-index normalized value
xlow_outlierLower limit of inner limit as indicator
xup_outlierIs an upper limit of an index
iQR-four-bit spacing
Q3Higher quantile of the index
Q1-small quantile of the index
FIG. 2 is a block diagram of a land utilization efficiency quantitative evaluation system based on multi-source data according to the present invention.
As shown in fig. 2, a second aspect of the present invention further provides a system for quantitatively evaluating land use efficiency based on multi-source data, where the system for quantitatively evaluating land use efficiency based on multi-source data includes: a memory 21 and a processor 22, wherein the memory includes a multisource data-based land use efficiency quantitative evaluation method program, and when the processor executes the program, the method realizes the following steps:
acquiring road network information, and dividing an area to be evaluated into fine area units according to the road network information;
acquiring government affair geographic information, generating a geographic code according to the government affair geographic information, and converting the geographic code into coordinate information;
performing nearest neighbor space matching according to the fine area unit and the coordinate information to obtain optimized coordinate information;
calculating efficiency indexes according to the land areas corresponding to the optimized coordinate information to obtain a calculation result;
and displaying the calculation result in a spatialization mode.
It should be noted that, the road network information may be acquired through some navigation software or data of a navigation background, or may be acquired as the road network information of the current state of territory. The road network information is acquired, for example, by the high-rise map navigation software. And partitioning the old villages and old factory sites in the research area through a fine navigation road network to obtain an evaluated fine unit.
Specifically, in the step of dividing the area to be evaluated into fine area units, the method further includes a manual checking process, which specifically includes:
generating a first fine area unit according to the road network information;
receiving a parameter of the altered first fine region unit;
altering the first fine region unit according to the parameter.
After the first fine area unit is obtained, a manual operation may be performed to perform a calibration, and the parameter of the first fine area unit is changed to obtain a new first fine area unit as a final fine area unit.
It should be noted that, the method includes acquiring government affair geographic information, generating a geographic code according to the government affair geographic information, and converting the geographic code into coordinate information, and may implement coordinate conversion on a text address for a geographic code API through government affair geographic data supplement and navigation software, for example, a high-grade map. The government affair geographic information can be acquired by a government affair background and can also be input by technicians.
It should be noted that, in the step, nearest neighbor space matching is performed according to the fine region unit and the coordinate information, so as to obtain optimized coordinate information. Due to the problems of position interference or geocoding deviation, a certain random offset error exists in part of coordinate points, and a small number of points deviate from the evaluation unit. Spatial correction of the point of departure is performed by this step.
It should be noted that, after the optimized coordinate information is obtained, the efficiency index is calculated according to the land area corresponding to the optimized coordinate information, so as to obtain a calculation result. The parcel area is a target area to be measured, and may be a street, a village and town, and the like, and the target area to be measured can be determined according to actual needs of a person skilled in the art. After the coordinate information is optimized, efficiency indexes such as power consumption, financial data, and residential density can be calculated for the areas, and the invention is not particularly limited to the indexes, but any method for quantitative statistics through the technical scheme of the invention will fall into the protection scope of the invention. After the results are calculated, the calculation results are presented in a spatialized form. The spatialization form can be a display form of a 2D map, a 3D map and a data table. The person skilled in the art can determine the spatialized representation according to the actual needs.
According to an embodiment of the present invention, after the converting the geocode into the coordinate information, the method further includes:
acquiring a plurality of operation information of the target object according to the government affair geographic information;
geocoding the plurality of operation information to obtain a plurality of longitude and latitude information and corresponding precision grades;
and selecting longitude and latitude information with high precision grade as final target object positioning information.
It should be noted that, a plurality of management information of the government affair information are obtained, and then the address of the corresponding record is determined through the management information, so as to obtain the geocode. Each of the information corresponds to latitude and longitude information, i.e., coordinate information, and a corresponding accuracy level. The accuracy level is specific location level information indicating a geographical location, and the higher the level is, the more detailed the address is. And finally, selecting latitude and longitude information with high precision grade as final target object positioning information. I.e. selecting the more detailed coordinates of the address as the positioning information of the target object.
For example, each record in the government affair geographic data usually has two address information, for example, the industrial tax data includes a taxpayer name and a production operation address, the two attributes of the same record both include description information of a geographic position, the two addresses are respectively geocoded at the same time to obtain two interpreted latitude coordinates and positioning accuracy, and the positioning accuracy is high to be used as a final positioning result.
According to the embodiment of the present invention, the performing nearest neighbor space matching according to the fine area unit and the coordinate information specifically includes:
acquiring coordinate information of a target object, and judging whether the coordinate information is in a preset plot area;
if the current region is not in the preset region, acquiring coordinate information of the region closest to the coordinate information;
and taking the coordinate information of the land area as the optimized coordinate information.
It should be noted that, as a result of geocoding, there may be a national bureau coordinate (GCJ02), where there is an encryption position interference, resulting in a certain random offset error for some coordinate points, and a small number of points may deviate from the evaluation unit, so that nearest neighbor spatial matching is required. Firstly, coordinate information of a target object is obtained, and whether the coordinate information is in a preset block area or not is judged. The preset plot area may be a non-road area, a lake, a hill, or the like, for example, if the coordinate information is on a certain main road, it indicates that the area is not in the preset area. And if the current region is not in the preset region, acquiring the coordinate information of the region closest to the coordinate information. Wherein the land area is required to be a land conforming to a preset area. After the land area is acquired, the coordinate information of the land area is used as the optimized coordinate information. Since the land area is an area range, there are a plurality of coordinate points, and therefore, it is preferable to select the coordinates of the center point of the land area as the optimized coordinate information. Of course, those skilled in the art can set the coordinate information position of the land area according to actual needs.
According to the embodiment of the present invention, after the performing nearest neighbor space matching to obtain the optimized coordinate information, the method further includes:
obtaining land area information, and expanding the land area by one level according to a preset rule to obtain expanded land area information;
calculating the total index value of the enlarged land area;
and distributing the index values to a plurality of land areas in the expanded land areas according to a preset rule.
It should be noted that, because the index after partial geocoding has a problem of insufficient coverage, the present invention adopts a method for allocating a block group to solve the problem, specifically, one level is expanded upwards on the basis of a block unit. Firstly, obtaining the information of the land area, and expanding the land area by one level according to a preset rule to obtain the expanded information of the land area. For example, if the obtained parcel region information is a street, the range from one level to a business district may be expanded, wherein the business district range may include a plurality of parcel regions, that is, may include a plurality of streets. Then, the total index value of the enlarged land area is calculated. And distributing the index value to a plurality of land areas in the expanded land areas according to a preset rule. Wherein the expanded plot area comprises a plurality of plot areas. In addition, the preset rule may be preset by a technician, for example, the total index value may be divided into a plurality of block areas on average, and according to the above embodiment, the total index value of the business circle may be divided into each street in the business circle on average.
According to the embodiment of the present invention, the calculating of the efficiency index according to the region of the parcel corresponding to the optimized coordinate information to obtain the calculation result specifically includes:
dividing the plot area into a first-level area and a second-level area;
calculating the ratio of the industrial electricity consumption and the industrial tax payment of the first-level area to obtain an input-output index value;
and calculating the average residential area power utilization index of the second-level area, and obtaining the unit power utilization density according to the ratio of the total residential power utilization amount to the area of the land.
It should be noted that the first-level area is an old village area, and the second area is an old factory area. Then, calculating the ratio of the industrial electricity consumption and the industrial taxes of the first-level area to obtain an input-output index value; and calculating the average residential area power utilization index of the second-level area, and obtaining the unit power utilization density according to the ratio of the total residential power utilization amount to the area of the land. The skilled person can calculate different index values according to actual needs, but any solution calculated by the quantitative evaluation method of the present invention will fall into the scope of the present invention.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring population density, input-output index and unit power consumption density index of a first-level area and a second-level area;
carrying out normalization processing on the population density, input-output index and unit power density index of the first-level area and the second-level area;
calculating the unit electricity density standard value of the first-level area multiplied by the resident population density standard value, and then taking the value of the root number 2;
and calculating the input-output index value of the second-stage area multiplied by the working population density standard value, and then taking the value of the root number 2.
The third aspect of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium includes a program of a land use efficiency quantitative evaluation method based on multi-source data, and when the program of the land use efficiency quantitative evaluation method based on multi-source data is executed by a processor, the method realizes the steps of the land use efficiency quantitative evaluation method based on multi-source data as described in any one of the above items.
In order to better explain the technical means of the present invention, the following examples are given for the purpose of describing the invention in detail.
Fig. 3 shows a method flow diagram of an embodiment of the quantitative evaluation method of the present invention.
On the basis of obtaining the blocks of the old villages and the old factories, the invention carries out quantitative evaluation on the use efficiency of the government affair data such as resident electricity consumption, industrial taxes and the like and Tencent population positioning data on two places by using a geocoding technology, and specifically comprises the following steps:
the method comprises the following steps: the method comprises the steps that an evaluation unit obtains, and blocks old villages and old factory plots in a research area through a fine navigation road network to obtain an evaluated fine unit;
step two: carrying out geographical coding on the government affair data, supplementing the government affair geographical data, and realizing coordinate conversion on the character address through a geographical coding API (application program interface) of the Gade map;
step three: the government affair data is optimized in geographic coding precision, each record in the government affair geographic data has two address information, fig. 4 shows a data schematic diagram of the optimization of the coding precision of the invention, as shown in fig. 4, for example, industrial tax payment data contains taxpayer names and production operation addresses, the two attributes of the same record contain description information of geographic positions, simultaneously, the two addresses are respectively encoded in a geographic mode to obtain two interpreted longitude and latitude coordinates and positioning precision, and the positioning precision is high to serve as a final positioning result.
Step four: the most adjacent space matching of government affair data is carried out, the geocoding result is a national survey bureau coordinate (GCJ02), encryption position interference exists, certain random offset errors exist in partial coordinate points, a few points can deviate from the evaluation unit, the offset points are spatially corrected by taking the reference of a drift point processing method in the GPS track data processing process, and the function can be realized through a Python code program. As shown in fig. 5, the nearest neighboring parcel is acquired, and the nearest neighboring parcel is taken as a correction point of the offset point.
Step five: specifically, the method is expanded to one level upwards on the basis of a block unit, the blocks are grouped by using village committee as a basic unit, the blocks in the same village committee are combined into one block group, the total amount of index values falling into the blocks is calculated, and the total amount of the index values is distributed to the block group through a village committee range, so that the coverage of the index values of the blocks in the village committee is improved.
Step six: and (3) government affair index calculation: the old plant plot efficiency index selects an input-output ratio from the economic benefit perspective, and an input-output index value (element/degree) is obtained through the ratio of industrial electricity consumption to industrial tax payment (annual industrial electricity consumption and tax payment data); the method is characterized in that the land efficiency index of the old village is from the vacant perspective, the average residential land electricity utilization index (annual residential electricity utilization data) is selected, and the unit electricity density (degree/square meter/day) is obtained according to the ratio of the total residential electricity utilization amount to the land area.
Step seven: tencent population density index calculation, population density data (people/square meter) starts from the use intensity angle, and the use efficiency of old villages and old factories is calculated. The population positioning data (working days and rest days) of a long time period in a research area are captured through a network, so that the population density of resident population workers (from 9 am to 6 pm) and the population density of residents (from 7 pm to 8 pm) in the area are analyzed.
Step eight: the land utilization efficiency index comprehensive calculation and the ecological niche model comprehensive low-efficiency index calculation have the following specific calculation formula:
land for old plants:
the land utilization efficiency of old factories needs to take into account input and output and use strength, and the low efficiency of any index can reduce the land utilization efficiency.
Land for old villages:
the land utilization efficiency of old villages needs to take the vacancy rate and the use strength into consideration, and the land utilization efficiency is reduced due to the low efficiency of any index.
It should be noted that, in order to eliminate the dimension and extreme value influence of different indexes, the population density, input-output index and unit power consumption density index of the old village and the old factory are normalized in a segmented manner, and the formula is as follows:
IQR＝(Q3-Q1)
xlow_outlier＝Q3-1.5×IQR
xup_outlier＝Q3+1.5×IQR
Xnorm-index normalized value
xlow_outlierLower limit of inner limit as indicator
xup_outlierIs an upper limit of an index
iQR-four-bit spacing
Q3Higher quantile of the index
Q1-small quantile of the index
Step nine: and assigning the comprehensive index of the land utilization efficiency, and assigning the comprehensive index of the land utilization efficiency to the land parcel to serve as a guide land parcel re-development time sequence standard. The land utilization efficiency comprehensive index value of the land blocks of the old factories and the old villages is changed from small to large, and the development time sequence is changed from first to last.
For example, as shown in fig. 7, the study plot is divided based on the navigation network, and the average area of the plot is 3.17 hectare. By the result of carrying out geocoding precision optimization on government affair data, the tax payment data amount is 28243, the arrangement amount is 5291, and the precision improvement ratio is 18.73%. And 3, space nearest neighbor matching improves the matching rate by 27.94% on the basis of the step three, and reduces the loss of effective data. The tax data amount is 28243, the matching amount is 7891, and the matching rate improvement ratio is 27.94%. And (5) allocating the index block group (corresponding to the step five), evaluating the industrial construction land in the research area through the industrial tax payment data, wherein the index data of partial industrial blocks are absent due to the land mixing condition (partial family type industrial workshops and the like). For example, the actual coverage rate of the tax data is 62.17%, and the coverage rate is improved to 92.26% after the distribution of the land parcel. The tax payment index drop point coverage rate is 62.17%, the plot group distribution coverage rate is 92.26%, and the coverage rate is promoted to 30.09%. As shown in fig. 7, this is a schematic diagram of the quantitative evaluation result, and an accurate quantitative index can be seen more intuitively.
The invention respectively geocodes company enterprise names and address information contained in government affair data through a method for improving the accuracy of geocoding based on multiple addresses, and selects high-level positioning accuracy data as a final spatial position by comparing positioning accuracy levels. And a spatial nearest neighbor matching formula method is adopted, and the data can be matched to the nearest neighbor planar data through a nearest neighbor matching algorithm, so that the 'drifting' phenomenon of data positioning is solved, and the data utilization rate is improved. In addition, a land parcel group index distribution method is used to distribute government affair indexes to land parcels, so that the coverage rate of data is improved. Finally, a space evaluation implementation method of government affair data is achieved by combining a geographic coding technology, meanwhile, Tencent real-time population positioning data correction is combined, the land efficiency of old villages and old factories is comprehensively evaluated, and a fine real-time evaluation result is constructed.
The invention realizes the accurate evaluation of the land use efficiency of old villages and old factories based on the geocoding technology, improves the precision and the utilization rate of data by two technical improvements in the geocoding process, and improves the data coverage rate by innovation on the distribution of data indexes.
Meanwhile, the development of the network positioning data at the present stage also provides a better technical means for the real-time survey of the land present population, and an effective data source is provided for the use intensity evaluation of the land. In the land efficiency evaluation, an urban land ecological niche model is used for carrying out comprehensive operation on land efficiency indexes to improve the scientificity and comprehensiveness of evaluation results.
After the fine spatial positioning indexes are obtained, a fine evaluation unit needs to be determined, the old villages and the old factory land parcels are partitioned through a fine navigation road network, a basic unit corresponding to urban land function analysis can be obtained, the land homogeneity in the unit is strong, and the unit is suitable for being used as a fine-grained basic unit for analyzing urban problems.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or certain features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part of the technical solutions contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (5)
1. A land use efficiency quantitative evaluation method based on multi-source data is characterized by comprising the following steps:
acquiring road network information, and dividing an area to be evaluated into fine area units according to the road network information;
acquiring government affair geographic information, generating a geographic code according to the government affair geographic information, and converting the geographic code into coordinate information;
performing nearest neighbor space matching according to the fine area unit and the coordinate information to obtain optimized coordinate information, which specifically comprises the following steps: acquiring coordinate information of a target object, judging whether the coordinate information is in a preset land area, if not, acquiring the coordinate information of the land area closest to the coordinate information, and taking the coordinate information of the land area as the optimized coordinate information;
calculating efficiency indexes according to the land areas corresponding to the optimized coordinate information to obtain a calculation result, specifically: dividing the land area into a first-level area and a second-level area, calculating the ratio of industrial electricity consumption to industrial tax payment of the first-level area to obtain an input-output index value, calculating a resident area average electricity consumption index of the second-level area, obtaining unit electricity consumption density according to the ratio of the total resident electricity consumption to the land area, obtaining the population density, the input-output index and the unit electricity consumption density index of the first-level area and the second-level area, normalizing the population density, the input-output index and the unit electricity consumption density index of the first-level area and the second-level area, calculating the unit electricity consumption density standard value of the first-level area multiplied by the resident population density standard value, then taking the value of a root number 2, calculating the input-output index value of the second-level area multiplied by a working population density standard value, and then taking the value of the root,
and displaying the calculation result in a spatialization mode.
2. The land use efficiency quantitative evaluation method based on multi-source data according to claim 1, further comprising, after the converting the geocode into coordinate information:
acquiring a plurality of operation information of the target object according to the government affair geographic information;
geocoding the plurality of operation information to obtain a plurality of longitude and latitude information and corresponding precision grades;
and selecting longitude and latitude information with high precision grade as final target object positioning information.
3. The land use efficiency quantitative evaluation method based on multi-source data according to claim 1, wherein after the nearest neighbor space matching is performed to obtain the optimized coordinate information, the method further comprises:
obtaining land area information, and expanding the land area by one level according to a preset rule to obtain expanded land area information;
calculating the total index value of the enlarged land area;
and distributing the index values to a plurality of land areas in the expanded land areas according to a preset rule.
4. The system for quantitatively evaluating the land use efficiency based on the multi-source data is characterized by comprising the following steps of: the system comprises a memory and a processor, wherein the memory comprises a multisource data-based land use efficiency quantitative evaluation method program, and the multisource data-based land use efficiency quantitative evaluation method program realizes the following steps when being executed by the processor:
acquiring road network information, and dividing an area to be evaluated into fine area units according to the road network information;
acquiring government affair geographic information, generating a geographic code according to the government affair geographic information, and converting the geographic code into coordinate information;
performing nearest neighbor space matching according to the fine area unit and the coordinate information to obtain optimized coordinate information;
calculating efficiency indexes according to the land areas corresponding to the optimized coordinate information to obtain a calculation result;
displaying the calculation result in a spatialization form;
after the converting the geocode to coordinate information, further comprising:
acquiring a plurality of operation information of the target object according to the government affair geographic information;
geocoding the plurality of operation information to obtain a plurality of longitude and latitude information and corresponding precision grades;
selecting longitude and latitude information with high precision grade as final target object positioning information;
the nearest neighbor space matching is carried out according to the fine region unit and the coordinate information, and specifically comprises the following steps:
acquiring coordinate information of a target object, and judging whether the coordinate information is in a preset block area;
if the current region is not in the preset region, acquiring coordinate information of the region closest to the coordinate information;
and taking the coordinate information of the land area as the optimized coordinate information.
5. A computer-readable storage medium, wherein the computer-readable storage medium includes a multisource data-based land use efficiency quantitative evaluation method program, and when the multisource data-based land use efficiency quantitative evaluation method program is executed by a processor, the method of any one of claims 1 to 3 is implemented.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107133900A (en) * | 2017-04-05 | 2017-09-05 | 中国农业大学 | Urban land mixing utilizes feature grid computational methods and device |
| CN107527133A (en) * | 2017-07-11 | 2017-12-29 | 中国科学院地理科学与资源研究所 | Group of cities National land space utilizes increased quality aid decision-making system |
| CN109308549A (en) * | 2017-11-20 | 2019-02-05 | 章文洁 | A kind of City complex activity analysis method and system |
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| CN107133900A (en) * | 2017-04-05 | 2017-09-05 | 中国农业大学 | Urban land mixing utilizes feature grid computational methods and device |
| CN107527133A (en) * | 2017-07-11 | 2017-12-29 | 中国科学院地理科学与资源研究所 | Group of cities National land space utilizes increased quality aid decision-making system |
| CN109308549A (en) * | 2017-11-20 | 2019-02-05 | 章文洁 | A kind of City complex activity analysis method and system |
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