Application of the Evidence Right in the Quantitative Evaluation of Rural Residential Area

  • Chao TangEmail author
  • Longyi Shao
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 699)


Development and spatial ability are the main content of the quantitative distribution characteristics of rural residential areas. This quantitative study of Jincheng River Basin rural settlements distribution as an example, discusses the potential effect on spatial distribution of rural settlements distribution in the main influence factor, using weights of evidence method to quantify the influence degree of each factor, based on the rural residential space distribution characteristics of the quantitative evaluation. According to the model, select the related to the distribution and residential elevation, slope, road, water, per capita income, residential area, etc. factor as evidence layers, through the calculation of evidence layers distribution of rural settlements in the study area posterior probability, has carried on the quantitative evaluation to the whole study area, residential distribution. The study found that for the distribution of rural settlements in the study area and the factors of influencing the influencing sequence: slope > road > height > system > farmers per capita net income > per capita residential covers an area of, and the factors and the residents point was positively correlated; in the study area rural residential space layout need optimization and adjustment; the means of GIS can be effective to multi-source heterogeneous data for rapid optimization and comprehensive analysis and the forecast evaluation results in a quantitative way represented, effectively promote the multiple determinants of complex model, prediction and evaluation from qualitative analysis to quantitative development.


Rural residential area The model of evidence right Quantitative research GIS 


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© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.China University of Mining & TechnologyBeijingChina
  2. 2.Beijing Urban Construction Exploration & Surveying Design Research Institute Company, Ltd.BeijingChina

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