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Multi-scale spatial analysis and evaluation method and system based on geographical national conditions

A technology of spatial analysis and evaluation methods, applied in geographic information databases, data processing applications, special data processing applications, etc., can solve the problems of single evaluation scale, integrity, poor semantic consistency and timing, and different data sources. The effect of reducing the loss of evaluation accuracy, fine-grained content division, and rapid warehousing and updating

Inactive Publication Date: 2020-02-11
江苏省基础地理信息中心
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The existing spatial analysis and evaluation, based on spatial overlay analysis, deduces different specific evaluation methods through the development of different index fitting algorithms, which have some shortcomings: spatial evaluation involves many elements, and data collection is difficult. In practice, due to the limitations of data availability and comprehensive coverage, some indicators have to be passively discarded or replaced by suboptimal indicators; the existing spatial analysis and evaluation rely on mostly temporary collection of data from different sources
Therefore, the integrity, semantic consistency, and timing of the evaluation are poor, and the refinement of the evaluation granularity is insufficient
[0003] Existing spatial analysis and evaluation have a single evaluation scale, usually unilaterally focusing on reflecting the overall pattern of the country, the level of urban and rural development, or the spatial location of specific local projects, etc., and are difficult to apply to multi-scale application scenarios at the same time; There are overlaps and overlaps, and different evaluation dimension models have not been effectively sorted out and integrated; the existing spatial analysis and evaluation lacks a business-oriented, autonomously adjustable spatial evaluation system for evaluation situations

Method used

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  • Multi-scale spatial analysis and evaluation method and system based on geographical national conditions
  • Multi-scale spatial analysis and evaluation method and system based on geographical national conditions
  • Multi-scale spatial analysis and evaluation method and system based on geographical national conditions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] The evaluation method of ecological environment indicators is described below:

[0043] This dimension evaluation utilizes geographical national conditions and land cover data. The sub-indicators and weights of the ecological environment index are shown in the table below:

[0044]

[0045] Ecological environment index = habitat quality index × 0.25 + ecological protection index × 0.20 + ecological structure index × 0.30 + (100-land stress index) × 0.25. The value range of the ecological environment index is 0-100.

[0046] Regional Habitat Quality Index, used to describe the suitability of regional habitat quality. Regional habitat quality index = 100 × (0.35 × forest land + 0.21 × grassland + 0.28 × water wetland + 0.11 × cultivated land + 0.04 × construction land + 0.01 × unused land) / regional area. The weights of each ecological land type in the Habitat Quality Index are shown in the table below:

[0047]

[0048] See the table below for the indicators and...

Embodiment 2

[0056] The evaluation method of urban construction indicators is described below:

[0057] (1) The formula for calculating traffic network density is as follows:

[0058]

[0059] ρ i =L i / S

[0060] T represents the traffic network density, M represents the technical level of the highway (divided into: high-speed, first-level, second-level, third-level, fourth-level, etc.), δ i Indicates the weight of roads of each grade in the region, as shown in the table below, ρ i Indicates the density of a certain grade of road in the area, L i Indicates the length of a road of a certain level in the area, and S indicates the area of ​​the area.

[0061] Highway Technical Grade Weights high speed 0.125*number of lanes level one 0.092*number of lanes Secondary 0.15 Level three 0.06 Level 4 0.01 substandard 0.01

[0062] After the traffic network density is obtained, normalization processing is carried out, and the geometric i...

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Abstract

The invention relates to the technical field of territorial space evaluation, and discloses a multi-scale space analysis and evaluation method and system based on geographic national conditions, and the method comprises the following steps: S1, carrying out the data collection according to a geographic national condition data collection standard; S2, selecting the size of a price evaluation network unit according to different evaluation requirements; S3, determining an evaluation scale according to evaluation requirements, constructing an evaluation index system, and performing data preprocessing; and S4, obtaining a single-index evaluation result through model calculation, and then obtaining a final evaluation result. According to the multi-scale spatial analysis and evaluation method andsystem based on the geographical national conditions adopt a spatial analysis and evaluation technology driven by geographic national condition data, the geographic national condition data is introduced into the field of spatial analysis and evaluation, and a long-time-sequence evaluation database is constructed by combining other basic geographic data, humanistic data and planning data, so thata comprehensive and long-time-sequence evaluation result is formed, the content division is fine, and the accuracy of the evaluation result is ensured.

Description

technical field [0001] The invention relates to the technical field of national land space evaluation, in particular to a method and system for multi-scale spatial analysis and evaluation based on geographical conditions. Background technique [0002] The existing spatial analysis and evaluation, based on spatial overlay analysis, deduces different specific evaluation methods through the development of different index fitting algorithms, which have some shortcomings: spatial evaluation involves many elements, and data collection is difficult. In practice, due to the limitations of data availability and comprehensive coverage, some indicators have to be passively discarded or replaced by suboptimal indicators; the existing spatial analysis and evaluation rely on mostly temporary collection of data from different sources. Therefore, the integrity, semantic consistency and timing of the evaluation are poor, and the refinement of the evaluation granularity is insufficient. [0...

Claims

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Application Information

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IPC IPC(8): G06F16/29G06F16/23G06Q10/06G06Q50/26
CPCG06F16/29G06F16/23G06Q10/0639G06Q50/26
Inventor 石善球张浩朱明非赵萍张璐周宇晨
Owner 江苏省基础地理信息中心
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