期刊文献+

Human settlement's social network analysis based on spatial trend surface model:a case study of Chongqing Municipality

Human settlement's social network analysis based on spatial trend surface model:a case study of Chongqing Municipality
下载PDF
导出
摘要 Integrated with GIS and remote sensing(RS) technology,a systematic analysis and its methodology for human-settlements social environment has been introduced.This methodology has been called spatial trend field model(STFM).STFM's application history in the field of human-settlements social environment has been discussed at first.Then,some index data models have been created through STFM,which include population density trend field,human activity strength trend field,city-town spatial density trend field,urbanization ratio trend field,road density trend field,GDP spatial density trend field and PER-GDP spatial density trend field.With all above-mentioned indexes as input data,through Iterative Self-Organizing Data Analysis Techniques Algorithm(ISODATA),this paper makes a verification study of Chongqing municipality.The result of the case study confirms that STFM methodology is credible and has high efficiency for regional human-settlements study. Integrated with GIS and remote sensing(RS) technology,a systematic analysis and its methodology for human-settlements social environment has been introduced.This methodology has been called spatial trend field model(STFM).STFM's application history in the field of human-settlements social environment has been discussed at first.Then,some index data models have been created through STFM,which include population density trend field,human activity strength trend field,city-town spatial density trend field,urbanization ratio trend field,road density trend field,GDP spatial density trend field and PER-GDP spatial density trend field.With all above-mentioned indexes as input data,through Iterative Self-Organizing Data Analysis Techniques Algorithm(ISODATA),this paper makes a verification study of Chongqing municipality.The result of the case study confirms that STFM methodology is credible and has high efficiency for regional human-settlements study.
出处 《Ecological Economy》 2010年第4期318-323,共6页 生态经济(英文版)
基金 supported by National 11th Five-Year Technology Support Program (Grant No 2008BAH31B06) National Natural Science Foundation of China (Grant No50738007)
关键词 Human settlements environment Social network Spatial trend surface model(STSM) Geographical Information System(GIS) 人类住区 空间密度 社会网络 重庆市 面模型 分析基 地理信息系统 国内生产总值
  • 相关文献

参考文献5

二级参考文献52

共引文献309

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部