Grid systems for geographic modelling and simulation:A review  

作　　者：CHEN Min LU Guo Nian LU FuQiang WAN Gang 陈旻;闾国年;卢付强;万刚(Key Laboratory of Virtual Geographic Environment,Ministry of Education of China,Nanjing Normal University;State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province);Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application;Changzhou Key Laboratory of Software Technology and Application,Changzhou Institute of Technology;Zhengzhou Institute of Surveying and Mapping,Information Engineering University)

机构地区：[1]Key Laboratory of Virtual Geographic Environment,Ministry of Education of China,Nanjing Normal University,Nanjing 210023,China [2]Changzhou Key Laboratory of Software Technology and Application,Changzhou Institute of Technology,Changzhou 213032,China [3]Zhengzhou Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450001,China [4]State Key Laboratory Cultivation Base of Geographical Environment Evolution（Jiangsu Province）,Nanjing 210023,China [5]Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China

出　　处：《Science Foundation in China》2018年第3期47-68,共22页中国科学基金（英文版）

基　　金：supported by the Excellent Young Scientists Fund(Grant No.41622108);the National Basic Research Program of China(973Program)(Grant No.2015CB954103);the Priority Academic Program Development of Jiangsu Higher Education Institutions(Grant No.164320H116)

摘　　要：Geography requires a comprehensive understanding of both natural and human factors,as well as their interactions.Due to the complexity and multiplicity of geographic problems,various theories and methods for geographic modelling and simulation have been proposed.Currently,geography has entered an era in which quantitative analysis and modelling are essential for understanding the mechanisms of geographic processes.As the basic idea of quantitative spatial analysis,the specified space often needs to be partitioned by a series of small computational units(cells),i.e.,grids.Thus,there is a close relationship between the grids and geographic modelling.This article reviews the mainstream and typical grids used for modelling and simulation.In addition to classification,the derived theories and technologies,including grid generation methods,data organization strategies,multi-dimensional querying methods,and grid adaptation techniques,are discussed.For integrated geographic simulation to explore comprehensive geographic problems,we argued that it is reasonable to build bridges among different types of grids(e.g.,transformation strategies),and more powerful grids that can support multi-type of numerical computation are urgently needed.Geography requires a comprehensive understanding of both natural and human factors,as well as their interactions.Due to the complexity and multiplicity of geographic problems,various theories and methods for geographic modelling and simulation have been proposed.Currently,geography has entered an era in which quantitative analysis and modelling are essential for understanding the mechanisms of geographic processes.As the basic idea of quantitative spatial analysis,the specified space often needs to be partitioned by a series of small computational units（cells）,i.e.,grids.Thus,there is a close relationship between the grids and geographic modelling.This article reviews the mainstream and typical grids used for modelling and simulation.In addition to classification,the derived theories and technologies,including grid generation methods,data organization strategies,multi-dimensional querying methods,and grid adaptation techniques,are discussed.For integrated geographic simulation to explore comprehensive geographic problems,we argued that it is reasonable to build bridges among different types of grids（e.g.,transformation strategies）,and more powerful grids that can support multi-type of numerical computation are urgently needed.

关 键 词：Geographic modelling and simulation Grid system Grid classification Grid construclion Numerical methods. 

分 类 号：TP393.02[自动化与计算机技术—计算机应用技术]