Study on the comprehensive statistical analysis framework of regional geography and national conditions

Daoqin Zhou; Chaoyong Shen; Guanwen Chen; Xiaojing He

doi:10.1117/12.2539381

14 February 2020 Study on the comprehensive statistical analysis framework of regional geography and national conditions

Daoqin Zhou, Chaoyong Shen, Guanwen Chen, Xiaojing He

Author Affiliations +

Proceedings Volume 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 114321B (2020) https://doi.org/10.1117/12.2539381
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

Aiming at the current situation of statistical analysis of geographical conditions, most of them are limited to basic statistics, comprehensive statistical analysis index system and technical methods have not yet established a unified standard of the status quo, based on the geographical conditions of the follow-up to deepen the application of practical needs, put forward a set of regional geography comprehensive Statistical analysis and evaluation of the framework of the program, on the basis of the Pearl River Delta Economic Zone for the object to carry out the relevant applications. The framework can reveal the interaction and influence of regional resources, ecology, population, economy, society and other elements in the geographical space from the aspects of resource utilization, ecological civilization, social livelihood, urbanization and so on. Which can provide technical reference for the comprehensive statistical analysis work of other different units and provide new ideas for the further application of geo-national census evaluation and monitoring.

Citation Download Citation

Daoqin Zhou, Chaoyong Shen, Guanwen Chen, and Xiaojing He "Study on the comprehensive statistical analysis framework of regional geography and national conditions", Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 114321B (14 February 2020); https://doi.org/10.1117/12.2539381

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