Use of GIS technology and cellular automata for modeling multiple socio-economic scenarios of regional spatial development and inter-regional cooperation

作     者：Igor Musikhin Alexander Karpik Igor Musikhin;Alexander Karpik

作者机构：Department of Photogrammetry and Remote SensingSiberian State University of Geosystems and TechnologiesNovosibirskRussia Department of Space and Physical GeodesySiberian State University of Geosystems and TechnologiesNovosibirskRussia 

出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)

年 卷 期：2023年第26卷第1期

页      面：71-93页

核心收录：

学科分类：08[工学] 081601[工学-大地测量学与测量工程] 0816[工学-测绘科学与技术] 

基　　金：supported by the Ministry of Science and Higher Education of Russia[grant number 075-15-2020-804] 

主　　题：Geographic Information System(GIS) spatial development socioeconomic scenarios interregional cooperation open source software Cellular Automata(CA) 

摘      要：The advancement of effective spatial planning to support sustainable development and interregional cooperation has become an issue of serious concern for regional *** planning research helps to identify economic clusters and analyze their changing spatial patterns,which is important for understanding regional economic space dynamics and poten-tial inter-regional *** support decision-makers in the development of efficient plans of spatial development encompassing the identification of the best-suited territories,a combined Geographic Information System(GIS)based approach to interpret qualitatively expressed multiple socio-economic scenarios in quantitative map-based terms of graded suitability,and a formalized approach to the socio-economic evaluation of the territory is *** on GIS technology coupled with integrated cellular automata decision analysis techniques,the study provides a method that performs socio-economic assessment of the study area according to the generated scenarios of regional spatial and socio-economic *** proposed method is applied to Primorsky and Khabarovsk Krais,located in the Russian Far ***-economic scenarios of spatial development initiated by investors and regional authorities were assessed and *** generated socio-economic scenar-ios illustrate how the unified set of spatial and socio-economic variables can be linked and used to gain insights into inter-regional socio-economic and spatial *** application results demonstrate the advantage of the proposed method in identifying the best-suited unit areas for targeted regional development.