CN111427988A - Method and system for generating regional hierarchical rendering graph and electronic equipment - Google Patents
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Abstract
The invention discloses a method, a system and electronic equipment for generating a regional hierarchical rendering map, which comprises the following steps of firstly, acquiring basic data of the hierarchical rendering map, wherein the basic data comprises spatial data, and the spatial data comprises a regional coding field and a regional spatial range field; all regional coding fields are taken out from the spatial data, and a first coding tag array is formed by the regional codes and numerical values corresponding to the regional codes; secondly, extracting a numerical value corresponding to each region code from the first coding mark array to form a second coding mark array; calculating an interval hierarchical array through a jenk algorithm; secondly, defining a color mark array; circularly traversing the first coding mark array, and judging whether the numerical value of each region code falls within the numerical value range included by the interval hierarchical array or not in the traversing process; and if so, rendering the area space range corresponding to the current area code in the space data to the map according to the color information recorded in the color array.
Description
Technical Field
The invention belongs to the field of data visualization, and particularly relates to a method and a system for generating a regional hierarchical rendering map and electronic equipment.
Background
In this big data information era, various industries are exploring information obtained from mass data, and data visualization is widely concerned and applied as a means for helping audiences understand deep meaning of data in an image and intuitive manner. The area hierarchical rendering graph is a specific application of data visualization in a Geographic Information System (GIS), is a visualization method for hierarchically rendering a map based on the size of certain types of data in an area, and can comprehensively display data geospatial features and attribute features.
Generally, mass data needs to be analyzed for generating a regional hierarchical rendering graph, the data are equally divided into a plurality of groups through a maximum value and a minimum value, the color of each group is sequentially increased or decreased, when the data of a certain region fall into one group, the color of the group is displayed by the region, but in practical situations, the data distribution is often uneven, so that a plurality of regions of data are in the same group, the colors are the same, the data sizes of the regions are still not separated, the region data comparison situation cannot be intuitively displayed, how to group the mass data is realized, the data size comparison situation of most regions of the map can be intuitively distinguished, and the problem that the regional hierarchical rendering graph needs to be solved at present is solved urgently.
Disclosure of Invention
The invention aims to solve the technical problem that the method and the system for generating the regional hierarchical rendering map based on the map hierarchical algorithm are provided aiming at the defects that the regional map rendering colors are similar and the comparison condition of the regional data sizes cannot be intuitively reflected because the prior art cannot effectively group the mass data, effectively group the mass data through the map hierarchical algorithm and intuitively display the mass data on the regional map in a hierarchical manner through the custom colors.
The technical scheme adopted by the invention for solving the technical problems is as follows: a method for generating a region-level rendering graph is constructed, and the method comprises the following steps:
s1, obtaining basic data of the hierarchical rendering graph, wherein the basic data comprises spatial data, the spatial data comprises a region coding field and a region space range field, extracting all region coding fields from the spatial data, and a first coding mark array M consisting of region codes and values corresponding to the region codes, wherein M = [ { α [ ]1：β1}，{α2：β2}，...，{αn：βn}]，α1,...,αnRepresenting different region codes, β1,...,βnThe numerical values corresponding to different regional codes are represented, and n represents the total number of regional code fields;
s2, extracting a numerical value β corresponding to each regional code from the first coding mark array MiI ∈ {1, n }, forming a second coded flag number set β = [ β = [1,...,βn]Processing the second tag array β through a map grading algorithm to obtain a plurality of interval grading arrays theta1,θ2,...,θtT is the total number of the interval grading arrays, thetai=[a,b]I ∈ {1, t }, wherein a and b are interval values after grading;
s3, predefining a first color flag Ag, that includes several elements and is used for zone level rendering1,...,ɡt](ii) a Each of the Ag elements included in the first color index groupiEach representing a separate color information, i ∈ {1, t };
s4, circularly traversing the first coding tag array M, and judging that each region code corresponds to each other in the traversing processValue of βiWhether it falls on the interval-ranking array thetaiInclusive of the numerical ranges; if yes, the ith element in the color array is taken out, the area space range corresponding to the current area code in the space data is obtained, the area space range corresponding to the current area code in the space data is rendered to the map based on the color information corresponding to the ith element, and dynamic rendering of the area space data to the map by different hierarchical colors is achieved.
The invention discloses a system for generating a region-level rendering graph, which comprises the following modules:
the basic data acquisition module is used for acquiring basic data of the hierarchical rendering graph, the basic data comprises spatial data, the spatial data comprises a region coding field, a region name field corresponding to the region coding and a region space range field, all the region coding fields are taken out from the spatial data, and a first coding mark array M is formed by the region coding and values corresponding to the region coding, wherein M = [ { α [ ]1：β1}，{α2：β2}，...，{αn：βn}]，α1,...,αnRepresenting different region codes, β1,...,βnThe numerical values corresponding to different regional codes are represented, and n represents the total number of regional code fields;
a data grading calculation module for extracting a value β corresponding to each region code from the first coding tag array MiI ∈ {1, n }, forming a second coded flag number set β = [ β = [1,...,βn]Processing the second tag array β through a map grading algorithm to obtain a plurality of interval grading arrays theta1,θ2,...,θtT is the total number of the interval grading arrays, thetai=[a,b]I ∈ {1, t }, wherein a and b are interval values after grading;
a color selection module for predefining a first color flag Ag = [ Ag ] comprising a number of elements and used for zone hierarchical rendering1,...,ɡt](ii) a Each of the Ag elements included in the first color index groupiMean generationTable an independent color information i ∈ {1, t };
a dynamic rendering module, configured to cycle through the first encoding flag array M, and during the traversal process, determine a value β corresponding to each region encodingiWhether it falls on the interval-ranking array thetaiInclusive of the numerical ranges; if yes, the ith element in the color array is taken out, the area space range corresponding to the current area code in the space data is obtained, the area space range corresponding to the current area code in the space data is rendered to the map based on the color information corresponding to the ith element, and dynamic rendering of the area space data to the map by different hierarchical colors is achieved.
In order to visually display massive data on an area map in a grading way, the data are divided into a plurality of groups through a map grading algorithm, and after the areas are positioned into different groups, colors of different depths are rendered on the map, so that the size comparison condition of each area data is visually shown.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flow chart illustrating an implementation of a method for generating a hierarchical rendering map based on a map hierarchical algorithm according to the present disclosure;
FIG. 2 is a system diagram of a map-based hierarchical algorithm for generating a rendering map for a region hierarchy according to the present disclosure;
fig. 3 is a system structure diagram of an electronic device according to the present disclosure.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
Example 1:
the invention discloses a method for generating a region-level rendering map, which comprises the following steps (the specific execution steps refer to fig. 1):
s1, acquiring basic data, specifically:
first, basic data of a hierarchical rendering is obtained, the basic data includes spatial data, which is also called geometric data, and the spatial data is used to represent information of various aspects such as position, shape, size distribution and the like of an object, and is a quantitative description of things and phenomena having positioning significance existing in the real world. The spatial data comprises a region coding field and a region spatial range field; the area code field is similar to a postal code, and the corresponding area name can be inquired through the area code; and encoding the inquired region name based on the region, wherein the region space range refers to the distribution condition of the space range occupied by the region. In this embodiment, the spatial data adopts spatial data in a local GeoJSON standard format, or the spatial data conforms to a wms service of an ogc standard.
Secondly, all regional code fields are taken out of the spatial data, and a first coding mark array M consisting of regional codes and numerical values corresponding to the regional codes is taken out, wherein M = [ { α [ ]1：β1}，{α2：β2}，...，{αn：βn}]，α1,...,αnRepresenting different region codes, β1,...,βnThe method comprises the steps of representing numerical values corresponding to different regional codes, wherein n represents the total number of regional code fields, β is an identification code corresponding to the regional codes, and performing regional identification based on the value of β, wherein:
for the numerical value obtaining mode corresponding to the region code, obtaining the statistical summary data or the local archive file online and/or offline through a background interface (for example, the numerical value obtaining mode can be obtained through ajax request, and can also be a local offline Json file), wherein the first coding mark array is a Json object array consisting of the region code and the numerical value corresponding to the region code, the Json object array is adopted because Json is a syntax for storing and exchanging text information, and in the development process, data exchange is frequently required with other systems, and common data exchange formats include XM L, Json and the like, while Json is used as a lightweight data format which generally adopts an object format or an array object format, and is popular when data transmission is carried out at the front end and the rear end, in the interaction process of the front end and the rear end, a Json format character string is returned by the rear end, the front end uses a Json () "method (converting a Json string into a Json object), and the Json string is used for resolving the Json data, and the Json object is also defined by traversing the Json object.
Using a first coded tag array M composed of Json objects can be defined as: [ {420100:100}, {420200:150}, {420300:400}, {420400:80} … ];
the first administrative district code included in the spatial data is 420100, and the numerical value 100 is the identification code of the administrative district code "420100"; the second administrative district code is 420200, and the value 150 is the identification code of the administrative district code "420200"; and so on. The area which needs to be graded at present can be further determined through the defined coding mark array, the area which needs to be rendered on the map can be determined through the identification code defined in the array, and preparation is made for implementation of the next step.
S2, grouping data calculation, specifically:
extracting a value β corresponding to each region code from the first encoding flag array M obtained in step S1iI ∈ {1, n }, wherein the parameter n takes a value according to actual requirements, and a second encoding flag number group β = [ β ]1,...,βn]；
When data calculation grouping is carried out, the second label array β is mainly processed through jenks algorithm to obtain a plurality of interval grading arrays theta1,θ2,...,θtT is the total number of the interval grading arrays, thetai=[a,b]I ∈ {1, t }, a, b are interval values after grading;
in the step, the Jenks algorithm is a natural breakpoint classification method, is a map classification algorithm proposed by Jenks, and is based on the principle of Jenks algorithm-natural breakpoint classification methodThe data or values are put together and then divided into several classes, the result is the several interval grading arrays theta1,θ2,...,θt. The variance can be measured statistically, and the quality of the classification can be compared by calculating the variance of each class, then calculating the sum of the variances, and using the size of the sum of the variances. It is therefore necessary to calculate the sum of the variances of the various classes, the smallest of which is the optimal (but not the only) classification result.
The jenks algorithm considers that the data has a breakpoint, and classification can be performed by using the breakpoint attribute of the data, so that the defect that in the prior art, when region classification rendering is performed, data grouping does not have a uniform method, and manual or average grouping is required, so that the data processing rate is low is overcome. When defining, reference may be made to the following forms, such as:
the array M is: [ {420100:100}, {420200:150}, {420300:400}, {420400:80} … ];
after natural discontinuous point grading is carried out by using a jenks algorithm, the obtained grading interval array is as follows: [0, 80], [81, 115], [116, 150], [151, 400], ….
S3, selecting a grading color array, specifically:
predefining a first color flag Ag, that includes several elements and is used for zone hierarchical rendering1,...,ɡt](ii) a Each of the Ag elements included in the first color index groupiI ∈ {1, t }, and the parameter t takes value according to the result after grading, for example, 4 grading interval arrays are obtained after grading, and in this case, t = 4.
In this embodiment, to better reflect the hierarchy and contrast of the area data, the first color flag is assigned to each element according to the progressive color information. The progressive color information is the process of the color from the deep to the light and from the light to the deep, and can be realized by adjusting the saturation of the color. Wherein, the larger the saturation value is, the darker the corresponding color is; the smaller the saturation value obtained, the lighter the corresponding color. Reference is made in particular to the disclosure in "https:// hanks. pub/2016/03/26/color-board/".
This step is a user-defined selection of the color to be finally rendered at each level on the map, and a progressive color may be selected to distinguish the size of each region value, for example: color arrays [ '# fffff', '# fff0', '# ffff00', '# fff000' ]; however, in the currently defined color array, if the value is assigned to each element according to the progressive color information, the color corresponding to the first element '# fffff' should be the lightest, and the color corresponding to the last element '# fff000' should be the darkest. The corresponding first element '# fffff' is the value 80 corresponding to the region code 42040, and when the value falls within the range [0, 80] included in the first interval hierarchical array, the region space data is rendered to the color on the map, and the rest can be analogized.
S4, circularly rendering the area, and generating a hierarchical rendering graph, specifically:
circularly traversing the spatial data, and judging β corresponding to each region code in the traversing processiWhether it falls on the interval-ranking array thetaiInclusive of the numerical ranges; if so, taking out the ith element in the color array, acquiring an area space range corresponding to the current area code from the space data, and rendering the area space range corresponding to the current area code in the space data onto a map based on the color information corresponding to the ith element, thereby realizing dynamic rendering of the area space data onto the map by different hierarchical colors; if not, the next traversal process is carried out until the ith element of the corresponding numerical range is found, and the loop is ended.
Namely, when the regional space data are circulated, the numerical value of each regional code is compared with the hierarchical interval array, and the regional space data are dynamically rendered on the map by different hierarchical colors.
Specifically, according to the method for dynamically rendering regional spatial data disclosed by the embodiment, each network map, such as foreign ArcGIS, Openlayer, L eadet, domestic heaven map, hypergraph map and other online maps provides an API (application programming interface) for developers, and dynamic data can be conveniently and rapidly rendered and rendered on the platforms.
In the embodiment, when mass data is processed, the data is divided into a plurality of groups through a jenks algorithm, after most areas are grouped in different groups, colors with different depths can be rendered on a map according to user-defined selection, the size comparison condition of each area data is visually shown, the defect of uneven data distribution when the map is rendered in a grading mode based on the size of certain data in the area is overcome, a user can visually distinguish the data size comparison condition of most areas, and the user can be helped to understand deep meanings of the data visually.
Example 2:
please refer to fig. 2, which is a structural diagram of a system for generating a region-level rendering map based on a map-level algorithm according to the present disclosure, the system includes a data obtaining unit (i.e. a basic data obtaining module): the method comprises the steps of obtaining basic data used for generating a hierarchical rendering graph through a background interface or a local file, wherein the basic data comprises region space data and an array of Json objects formed by region codes and numerical values corresponding to the region codes.
Data computation grouping unit (i.e. data hierarchy computation module): and calculating the basic data through jenks algorithm to obtain the hierarchical interval array.
A data rendering unit: the method is used for circulating the regional space data, comparing the regional space data with the hierarchical interval array, and dynamically rendering the regional space data to the map by different hierarchical colors.
As a specific structure of the data acquisition unit (i.e., basic data acquisition module), the following modules are included:
a basic data module: the method comprises the steps of obtaining basic data used for generating a hierarchical rendering graph through a background interface or a local file, and forming an array of Json objects by region codes and numerical values corresponding to the region codes.
A spatial data module: the system is used for acquiring regional spatial data and consists of spatial range coordinate strings.
As a specific structure of the data rendering unit, the data rendering unit includes the following modules:
color selection module (i.e., color selection module): the method is used for user-defined selection of a group of color arrays for hierarchical rendering.
Map rendering module (i.e., dynamic rendering module): and the system is used for dynamically rendering the regional space data on the map by the hierarchical colors according to the acquired data circulation.
The above functional modules and functional units correspondingly implement the steps in embodiment 1, and the specific implementation process is not described herein again.
Example 3:
the invention discloses an electronic device (please refer to fig. 3 for system structure diagram) including a processor and a memory. Wherein:
the memory stores an execution program for executing the steps in embodiment 1;
when the execution program stored in the memory is executed by the processor, the dynamic rendering of the regional space data on the map by different hierarchical colors is realized.
The invention discloses a method, a system and electronic equipment for generating a region graded rendering map, which can scientifically divide acquired mass data into a plurality of interval groups by a natural discontinuous point grading method (jenks) algorithm, and select a color array by user definition after most regions can fall into different intervals, so that colors of different levels are rendered on the map to visually represent the comparison condition of data of each region.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, system, and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a module may be divided into only one logical function, and may be implemented in other ways, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be 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, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes 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 steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, 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.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A method for generating a region-level rendering map, comprising the steps of:
s1, obtaining basic data of the hierarchical rendering graph, wherein the basic data comprises spatial data, the spatial data comprises a region coding field and a region space range field, extracting all region coding fields from the spatial data, and a first coding mark array M consisting of region codes and values corresponding to the region codes, wherein M = [ { α [ ]1：β1}，{α2：β2}，...，{αn：βn}]，α1,...,αnRepresenting different region codes, β1,...,βnThe numerical values corresponding to different regional codes are represented, and n represents the total number of regional code fields;
s2, extracting a numerical value β corresponding to each regional code from the first coding mark array MiI ∈ {1, n }, forming a second coded flag number set β = [ β = [1,...,βn]Processing the second tag array β through a map grading algorithm to obtain a plurality of interval grading arrays theta1,θ2,...,θtT is the total number of the interval grading arrays, thetai=[a,b]I ∈ {1, t }, wherein a and b are interval values after grading;
s3, predefining a first color flag Ag, that includes several elements and is used for zone level rendering1,...,ɡt](ii) a Each of the Ag elements included in the first color index groupiEach representing a separate color information, i ∈ {1, t };
s4, circularly traversing the first coding marker array M, and judging the numerical value β corresponding to each region code in the traversing processiWhether it falls on the interval-ranking array thetaiInclusive of the numerical ranges; if yes, the ith element in the color array is taken out and putAnd obtaining an area space range corresponding to the current area code from the space data, rendering the area space range corresponding to the current area code in the space data to a map based on the color information corresponding to the ith element, and dynamically rendering the area space data to the map by different hierarchical colors.
2. The method of generating a region-level rendering graph according to claim 1, wherein in step S1, the spatial data comprises local GeoJSON standard format spatial data or is a wms service conforming to an ogc standard.
3. The method of claim 2, wherein step S1 includes obtaining a value corresponding to each region code from online and/or offline statistical summary data or a local archive file through a background interface; the first coding mark array is an array of Json objects formed by region codes and numerical values corresponding to the region codes.
4. The method of claim 1, wherein in step S2, the interval-level array is obtained by jenks algorithm.
5. The method of claim 1, wherein in step S3, the first color tag is assigned a value for each element in the Ag according to progressive color information.
6. A system for generating a zone-level rendering, comprising:
the basic data acquisition module is used for acquiring basic data of the hierarchical rendering graph, wherein the basic data comprises spatial data, and the spatial data comprises an area coding field, an area name field corresponding to the area coding and an area space range field; extracting all region code fields from the spatial data, the region code and the region codeA first code mark array M consisting of numerical values corresponding to codes, wherein M = [ { α [ ]1：β1}，{α2：β2}，...，{αn：βn}]，α1,...,αnRepresenting different region codes, β1,...,βnThe numerical values corresponding to different regional codes are represented, and n represents the total number of regional code fields;
a data grading calculation module for extracting a value β corresponding to each region code from the first coding tag array MiI ∈ {1, n }, forming a second coded flag number set β = [ β = [1,...,βn]Processing the second tag array β through a map grading algorithm to obtain a plurality of interval grading arrays theta1,θ2,...,θtT is the total number of the interval grading arrays, thetai=[a,b]I ∈ {1, t }, wherein a and b are interval values after grading;
a color selection module for predefining a first color flag Ag = [ Ag ] comprising a number of elements and used for zone hierarchical rendering1,...,ɡt](ii) a Each of the Ag elements included in the first color index groupiEach representing a separate color information, i ∈ {1, t };
a dynamic rendering module, configured to cycle through the first encoding flag array M, and during the traversal process, determine a value β corresponding to each region encodingiWhether it falls on the interval-ranking array thetaiInclusive of the numerical ranges; if yes, the ith element in the color array is taken out, the area space range corresponding to the current area code in the space data is obtained, the area space range corresponding to the current area code in the space data is rendered to the map based on the color information corresponding to the ith element, and dynamic rendering of the area space data to the map by different hierarchical colors is achieved.
7. The system for generating the region-level rendering graph according to claim 6, wherein the data-level calculating module obtains the interval-level array by using a jenks algorithm.
8. The system of claim 6, wherein the color selection module assigns a value to each element in the first color tag Ag according to progressive color information.
9. The system for generating a regional hierarchical rendering graph according to claim 6, wherein the basic data obtaining module obtains a value corresponding to each regional code from online and/or offline statistical summary data or a local archive file through a background interface; the first coding mark array is an array of Json objects formed by region codes and numerical values corresponding to the region codes.
10. An electronic device comprising a processor and a memory, wherein,
the memory stores a program for executing the method of generating the region-level rendering graph according to any one of claims 1 to 5;
when the execution program stored in the memory is executed by the processor, the dynamic rendering of the regional space data on the map by different hierarchical colors is realized.
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