Vol15 No.9: 2043-2054
【Title】Relationship between settlements and topographical factors: An example from Sichuan Province, China
【Author】XI Chang-bai1; QIAN Tian-lu1; CHI Yao1; CHEN Jie1; WANG Jie-chen1,2,3*
【Addresses】1 Department of Geographic Information Science, Nanjing University, Nanjing 210023, China; 2 Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China; 3 Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China
【Corresponding author】WANG Jie-chen
【Citation】Xi CB, Qian TL, Chi Y, et al. (2018) Relationship between settlements and topographical factors: An example from Sichuan Province, China. Journal of Mountain Science 15(9). https://doi.org/10.1007/s11629-018-4863-z
【Abstract】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 sampleof 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%.
【Keywords】Settlement; Topographical factor; Distributive entropy; Spatial pattern; Geographical Information System