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Relationship between settlements and topographical factors: An example from Sichuan Province, China

机译:住区与地形因素之间的关系:以中国四川省为例

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摘要

Terrain can influence the spatial distribution of settlements.Studies on the terrain characteristics of settlements can help to understand the effects of the environment on human activities.This paper provides a quantitative analysis of the relationship between settlements and topographical factors.A statistically significant sample of residential locations and ASTER GDEM V2 were used to investigate terrain traits and settlements distributions.We selected eight topographical factors and introduced a practical concept,distributive entropy,into assessing the aggregation extent of the settlements' spatial distribution.The study showed that topography varies within the study area,and distributive entropy indicates that settlements have distinctive distribution tendency in statistic approach.According to the results of this study,mountain inhabitants prefer to settle in valleys.Additionally,with distributive entropy,residential suitability was divided to three levels:suitable,normal,and unsuited.The results showed that suitable area is small in Sichuan Province,accounting for 8.2%~29.9%;however,unsuited area is large,accounting for 33%~63.3%.
机译:地形会影响定居点的空间分布,对定居点的地形特征进行研究有助于理解环境对人类活动的影响。本文对定居点与地形因素之间的关系进行了定量分析。地点和ASTER GDEM V2用于调查地形特征和居民点分布。我们选择了8个地形因素,并引入了一个实用的概念,即分布熵,以评估居民点空间分布的聚集程度。区域和分布熵表明定居点在统计方法上具有独特的分布趋势。根据本研究的结果,山地居民更喜欢在山谷中定居。此外,根据分布熵,居住适宜性分为三个级别:适宜,正常,和联合国结果表明,四川省适宜面积较小,占8.2%〜29.9%;不适宜面积较大,占33%〜63.3%。

著录项

  • 来源
    《山地科学学报(英文版)》 |2018年第9期|2043-2054|共12页
  • 作者单位

    Department of Geographic Information Science, Nanjing University, Nanjing 210023, China;

    Department of Geographic Information Science, Nanjing University, Nanjing 210023, China;

    Department of Geographic Information Science, Nanjing University, Nanjing 210023, China;

    Department of Geographic Information Science, Nanjing University, Nanjing 210023, China;

    Department of Geographic Information Science, Nanjing University, Nanjing 210023, China;

    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023 , China;

    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023 , China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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