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A geographic detector optimal discretization method based on simulated annealing

A simulated annealing and detector technology, applied in the field of geospatial information, can solve the problems of not considering the relationship between explanatory variables and explained variables, and unable to detect spatial differentiation, achieving good discretization, detection of spatial differentiation, and effective spatial differentiation. heterosexual effect

Inactive Publication Date: 2018-12-07
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS +1
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Problems solved by technology

[0007] The technical problem solved by the present invention: to overcome the deficiency that the prior art does not consider the relationship between the explanatory variable and the explained variable and cannot detect the spatial differentiation and give its significance test, and provide a geographical detector based on simulated annealing The optimal discretization method can not only consider the relationship between the explanatory variable and the explained variable, but also detect the spatial differentiation and give the best stratification method for its significance test, and improve the q statistics of geographic detectors

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  • A geographic detector optimal discretization method based on simulated annealing
  • A geographic detector optimal discretization method based on simulated annealing
  • A geographic detector optimal discretization method based on simulated annealing

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Embodiment Construction

[0018] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0019] like figure 1 Shown, the specific implementation steps of the present invention are as follows:

[0020] Step 1. Determine the explanatory variable X and the interpreted variable Y to be discretized. Both X and Y are continuous data and have no missing values ​​and symbols other than numbers; according to actual use requirements, customize the hierarchical number d input algorithm , as the number of layers after discretization of the final continuous data. For example, if the user divides the explanatory variable X into 5 categories, the algorithm will output 4 breakpoints to discretize X.

[0021] Step 2. Initialize the breakpoint vector, randomly select d-1 breakpoints from the explanatory variable X, and record it as the breakpoint vector V 1 , and then stratify the explanatory variable X according to randomly selected breakpoints, and en...

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Abstract

The invention discloses a geographic detector optimal discretization method based on simulated annealing. The steps are as follows: the first step is to determine the number of layers (stratified), interpreted variables and interpreted variables, the second step is to initialize a breakpoint vector and calculate q-statistics of an initial geographic detector on the basis of the number of layers and the interpreted variables, the third step is to utilize the simulated annealing algorithm to optimize the breakpoint vector in order to obtain the largest q-statistics of the geographic detector, and the fourth step is to output the optimized breakpoint vector and its corresponding q-statistics of the geographic detector for better detection driving factors. The method has the advantages of widepracticability, high calculation precision, insensitivity to abnormal values and the like, and is suitable for many fields such as geography, society, biology and the like.

Description

technical field [0001] The invention relates to an optimal discretization method of a geographic detector based on simulated annealing, and belongs to the technical field of geospatial information. Background technique [0002] Spatial differentiation is the spatial expression of nature and socioeconomic processes, and an important way for humans to understand nature. Spatial stratification heterogeneity refers to the phenomenon that the intra-layer variance is smaller than the inter-layer variance, which reflects the underlying driving forces or geospatial phenomena in natural or social processes. The measurement and modeling of spatial stratification heterogeneity is the cornerstone of geosciences One of (Wang Jinfeng and Xu Chengdong, 2017). [0003] Geodetector is a new method to measure the heterogeneity of spatial stratification and explain the driving force behind it. Geodetector q statistics can effectively reflect and quantify the relationship between explanatory v...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18
CPCG06F17/18
Inventor 徐成东王劲峰邢丁凡
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS