| 基于GIS的横断山区地形起伏度与人口和经济的关系 |
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| 作者姓名： | 陈田田 彭立 刘邵权 王旭熙 徐定德 |
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| 作者单位： | 1. 中国科学院水利部成都山地灾害与环境研究所, 成都 610041;
2. 中国科学院大学, 北京 100049 |
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| 基金项目： | 国家重点基础研究发展计划（973）项目（2015CB452706）、四川省软科学计划项目（2015ZR0121）和中国科学院成都山地灾害与环境研究所青年百人团队项目（SDSQB-2015-01）资助 |
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| 摘 要： | 地形起伏度是影响山区人口分布和经济发展的关键因素。以横断山区大尺度ASTER GDEM为数据源，基于GIS的窗口递增分析原理，采用均值变点法科学分析平均地形起伏度的最佳统计面积并对其进行分级和相关性分析，得出实验区最佳分析窗口面积为0。202 5 km2，省域之间地形起伏度差异明显，省内差异不明显，相关性较高。同时，采用空间分析技术、统计学方法以及PCA排序法，分析地形起伏度与人口、经济的关系。研究结果表明：随着地形起伏度的增大，人口密度逐渐降低，当达到3。7以后人口密度趋于一个固定值；地形起伏度与第三产业占GDP比重的负相关性最大，与城镇化率的负相关性较小，与人均GDP的负相关性最小。
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| 关 键 词： | 横断山区 最佳统计单元 地形起伏度 人口 经济 |
| 收稿时间： | 2015-11-20 |
| 修稿时间： | 2016-03-21 |
Relationships of relief degree of topography with population and economy in Hengduan mountain area based on GIS |
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| Authors: | CHEN Tiantian PENG Li LIU Shaoquan WANG Xuxi XU Dingde |
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| Institution: | 1. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | Relief degree of topography is a significant factor to affect the development of economy and society.By using window analysis theory and mean change-point analysis method, the optimal statistical unit of relief amplitude is extracted based on ASTER GDEM data, and then the classification and correlation analyses on relief degree of topography are carried out.It is shown that 0.202 5 km2 is the best measuring unit.The differences in relief amplitude between different provinces are obvious, and the differences are not obvious in each province.Meanwhile, the relationships of relief degree of topography with population and economy are analyzed by using spatial analysis technique,statistical method, and PCA sorting method.The results show that population density gradually decreases with relief degree of topography and it reaches a fixed value when relief degree of topography is 3.7.The negative correlation degree of relief degree of topography with the proportion of the third industry is large, the degree with urbanization rate is less, and the degree with per capita GDP is the least. |
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| Keywords: | Hengduan mountain area the optimal statistical unit relief degree of topography population economy |
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