Spatial Autocorrelation Between Topographic Relief and Population/Economy in Sichuan Province

Zhang Jincheng; Zhou Wenzuo

doi:10.13961/j.cnki.stbctb.2019.01.040

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Spatial Autocorrelation Between Topographic Relief and Population/Economy in Sichuan Province

- Spatial Autocorrelation Between Topographic Relief and Population/Economy in Sichuan Province
- Bulletin of Soiland Water Conservation Vol. 39, Issue 1, Pages: 250-257(2019)
- 作者机构：
  
  西南大学地理科学学院,重庆,400715
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2019.01.040
  CLC：
- Published：2019
- 稿件说明：
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Zhang Jincheng, Zhou Wenzuo. Spatial Autocorrelation Between Topographic Relief and Population/Economy in Sichuan Province[J]. Bulletin of Soiland Water Conservation, 2019, 39(1): 250-257.
DOI：

Zhang Jincheng, Zhou Wenzuo. Spatial Autocorrelation Between Topographic Relief and Population/Economy in Sichuan Province[J]. Bulletin of Soiland Water Conservation, 2019, 39(1): 250-257. DOI： 10.13961/j.cnki.stbctb.2019.01.040.

摘要

[目的]分析四川省地形起伏度与人口经济的空间关系，为区域人口合理布局、经济格局优化提供参考依据。[方法]以ASTER GDEM数据为基础，通过均值变点法确定四川省地形起伏度最佳统计单元，分析地形起伏度的分布特征；通过空间自相关分析法探讨地形起伏度与人口/经济的空间关系。[结果]四川省地形以山地和丘陵为主，整体呈现西高东低的趋势。地形起伏度与人口/经济呈空间负相关，聚集特征显著。甘孜、阿坝、凉山自治州是高地形起伏度，低人口分布，低经济水平地区；成都市是低地形起伏度，高人口分布，高经济水平地区；南充市南部县、阆中市等是低地形起伏度，高人口分布，低经济水平地区；攀枝花市仁和区、甘孜州石渠县等因自然资源或地理位置因素，地形对人口或经济影响不明显。[结论]四川省地形起伏度与人口经济呈空间负相关，但这种关系因地而异。

Abstract

[Objective] To analyze the spatial relationship between topographic relief and population/economy

in order to provide a reference for the rational distribution of population and the optimization of economic pattern in Sichuan Povince. [Methods] Based on ASTER GDEM data

the optimal statistical unit of topographic relief in Sichuan Province was determined by mean change-point method

and the distribution pattern of topographic relief was analyzed. The spatial relationships between topographic relief and population/economy were discussed by spatial autocorrelation analysis. [Results] Sichuan Province was mainly covered by mountains and hills

and the overall trend was high in the west and low in the east. The topographic relief was negatively correlated with population/economy

and the clustering characteristics were significant. Ganzi

Aba

and Liangshan Autonomous Prefecture were areas with high topographic relief

low population distribution

and low economic levels. Chengdu City was a region with low topographic relief

high population distribution

and high economic level. The southern part of Nanchong City and Langzhong City were areas with low topographic relief

high population distribution

and low economic level. Due to natural resources and geographical location

the topographic relief showed no significant impact on the population/economy in Renhe District of Panzhihua City

and Shiqu County of Ganzi Autonomous Prefecture. [Conclusion] The topographic relief in Sichuan Province was negatively correlated with the population/economy

but this relationship varied from region to region.

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