Ecological space analysis method and system based on statistical unit adaptation

Abstract

The present invention provides a self-adaptive ecological space analysis method and system based on statistical units, including: determining and receiving the input of the analysis range and analysis target data and indicators; according to the analysis range and analysis target data and indicators, judging the division of subtask units method to obtain the range of each analysis unit; use the range of the analysis unit to spatially superimpose the analysis target data, extract the target data elements within the range of each analysis unit, and add the same analysis unit identifier to the target data elements falling within the range of the same analysis unit , so as to obtain subtask units; assign each subtask unit to different computing nodes, and each node executes its own subtask. According to different analysis ranges, analysis data and indicators, and statistical expression requirements of analysis results, the present invention automatically splits them into appropriate multiple subtasks, and can maximize the use of computing resources in a parallel computing environment to obtain better analysis and statistical efficiency.

Description

technical field

[0001] The invention relates to the technical field of geographic information spatial analysis, in particular to an ecological spatial analysis method and system based on statistical unit self-adaptation. Background technique

[0002] In the eco-environmental protection business, spatial analysis and statistical work has the following characteristics:

[0003] (1) The scope of analysis is diversified and the area varies greatly

[0004] The division of the scope of analysis includes standard administrative divisions and special areas: standard administrative divisions are used for analysis and statistics, and different levels of provinces, cities, and counties are distinguished; special areas are used for analysis and statistics, such as ecological protection red line areas, nature reserves, Key areas, key watersheds, etc.; use custom ranges to analyze statistics.

[0005] Between different types of analysis ranges, or between different areas of the same ty...

Examples

Embodiment 1

[0110] Analysis of changes in ecosystem classification within 10 kilometers of a watershed from 2015 to 2019:

[0111] First, statistical analysis parameter parsing:

[0112] Analysis range: area distribution range, without standard administrative division attributes.

[0113] Analysis scenario: analysis target data ecosystem classification, characterized by full coverage, large data volume, and high data accuracy; the analysis type is longitudinal superposition analysis of two time phases, and the analysis and calculation complexity is relatively high.

[0114] Statistical requirements for analysis results: Only the summary results within 10 kilometers of a certain watershed need to be counted.

[0115] Secondly, the regular geographic grid unit is used to divide the subtasks. The key steps are as follows:

[0116] S1: Generate a regular geographic grid of appropriate size based on the 10-kilometer area of ​​the watershed. See attached figure 2 The analysis range of the...

Embodiment 2

[0123] Analysis of human activities within the red line of ecological protection in a mountainous area in 2020:

[0124] First, statistical analysis parameter parsing:

[0125] Scope of analysis: 39 counties (districts) in a mountainous area, each with an area of ​​more than 100 square kilometers, and 353 townships under the jurisdiction of 39 counties (districts).

[0126] Analysis scene: the horizontal overlay analysis and statistics of the two thematic data of the ecological protection red line layer and the human activity map spot, both data are not fully covered, but there are many ecological protection red line map spots and a large amount of data;

[0127] Statistical requirements for analysis results: It not only statistically displays the summary of human activities within the ecological red line of a mountainous area, but also drills to display the situation within the respective ranges of the 39 counties.

[0128] Secondly, use the administrative division unit to d...

Embodiment 3

[0135] Implementation example 3: Analysis of ecological land occupied by human activities in a designated area in 2020

[0136] Analysis of statistical analysis parameters:

[0137] Scope of analysis: the key areas composed of three provincial-level administrative divisions, and the area of ​​the second-level administrative divisions under the three administrative divisions is mostly more than 100 square kilometers, and there are large differences in area between them.

[0138] Analysis scenario: Horizontal superposition analysis and statistics of two thematic data of human activity map and ecosystem classification, one of the two data is fully covered, and the other is not fully covered, and the amount of ecosystem classification data is relatively large;

[0139] Statistical requirements for the analysis results: not only statistically display the summary of ecological land occupation by human activities in a designated area, but also drill down to display the respective con...

technical field

[0001] The invention relates to the technical field of geographic information spatial analysis, in particular to an ecological spatial analysis method and system based on statistical unit self-adaptation. Background technique

[0002] In the eco-environmental protection business, spatial analysis and statistical work has the following characteristics:

[0003] (1) The scope of analysis is diversified and the area varies greatly

[0004] The division of the scope of analysis includes standard administrative divisions and special areas: standard administrative divisions are used for analysis and statistics, and different levels of provinces, cities, and counties are distinguished; special areas are used for analysis and statistics, such as ecological protection red line areas, nature reserves, Key areas, key watersheds, etc.; use custom ranges to analyze statistics.

[0005] Between different types of analysis ranges, or between different areas of the same ty...

Examples

Embodiment 1

[0110] Analysis of changes in ecosystem classification within 10 kilometers of a watershed from 2015 to 2019:

[0111] First, statistical analysis parameter parsing:

[0112] Analysis range: area distribution range, without standard administrative division attributes.

[0113] Analysis scenario: analysis target data ecosystem classification, characterized by full coverage, large data volume, and high data accuracy; the analysis type is longitudinal superposition analysis of two time phases, and the analysis and calculation complexity is relatively high.

[0114] Statistical requirements for analysis results: Only the summary results within 10 kilometers of a certain watershed need to be counted.

[0115] Secondly, the regular geographic grid unit is used to divide the subtasks. The key steps are as follows:

[0116] S1: Generate a regular geographic grid of appropriate size based on the 10-kilometer area of ​​the watershed. See attached figure 2 The analysis range of the...

Embodiment 2

[0123] Analysis of human activities within the red line of ecological protection in a mountainous area in 2020:

[0124] First, statistical analysis parameter parsing:

[0125] Scope of analysis: 39 counties (districts) in a mountainous area, each with an area of ​​more than 100 square kilometers, and 353 townships under the jurisdiction of 39 counties (districts).

[0126] Analysis scene: the horizontal overlay analysis and statistics of the two thematic data of the ecological protection red line layer and the human activity map spot, both data are not fully covered, but there are many ecological protection red line map spots and a large amount of data;

[0127] Statistical requirements for analysis results: It not only statistically displays the summary of human activities within the ecological red line of a mountainous area, but also drills to display the situation within the respective ranges of the 39 counties.

[0128] Secondly, use the administrative division unit to d...

Embodiment 3

[0135] Implementation example 3: Analysis of ecological land occupied by human activities in a designated area in 2020

[0136] Analysis of statistical analysis parameters:

[0137] Scope of analysis: the key areas composed of three provincial-level administrative divisions, and the area of ​​the second-level administrative divisions under the three administrative divisions is mostly more than 100 square kilometers, and there are large differences in area between them.

[0138] Analysis scenario: Horizontal superposition analysis and statistics of two thematic data of human activity map and ecosystem classification, one of the two data is fully covered, and the other is not fully covered, and the amount of ecosystem classification data is relatively large;

[0139] Statistical requirements for the analysis results: not only statistically display the summary of ecological land occupation by human activities in a designated area, but also drill down to display the respective con...

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