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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)

Abstract

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.

Keywords

Rural residential area The model of evidence right Quantitative research GIS 

References

  1. 1.
    Agterberg, F.: A modified weights-of-evidence method for regional mineral resource estimation. Nat. Resour. Res. 20(2), 9–101 (2011)CrossRefGoogle Scholar
  2. 2.
    Zhao, Z., Pan, M., He, L.: Paleo plate tectonics and regional geology at Bayan Obo in Northern Inner Mongolia. Acta Scientiarum Naturalium Universitatis Pekinensis (04), 594–600 (2010)Google Scholar
  3. 3.
    Gong, J., Wang, Z., Cai, E.: Evaluation of spatial distribution of basic farmland conservation area based on fuzzy weight of evidence model. Res. Soil Water Conserv. (04), 161–167 (2015)Google Scholar
  4. 4.
    Xu, X., Wan, Q.: A quantitative study on spatial distribution of rural settlement in floodplains and discussion of its application. Geogr. Res. 16(03), 47–54 (1997)Google Scholar
  5. 5.
    Li, C., Yang, B., Ye, S.: A study on town and village system in the mountains based on fractal theory: a case study of Nanxi in Dabie Mountain. J. West Anhui Univ. (02), 12–15 (2013)Google Scholar
  6. 6.
    Li, R., Yang, C., Jiang, X.: An analysis of optimized distribution of rural residential land in villages. GeoComp 99: GeoComput. Geosci. 28(6), 93–98 (2011)Google Scholar
  7. 7.
    Xu, L., Hu, H., Zhang, L.: Fractal research and planning of yuan tong town residential area scale layout. Econ. Geogr. (S1), 150–153 (2001)Google Scholar
  8. 8.
    Qin, Y.: The study about optimizing spatial distribution of rural settlements and mode selection. China University of Geosciences (Beijing) (2006)Google Scholar
  9. 9.
    White, R., Engelen, G.: Cellular automata and fractal urban form: a cellular modeling approach to the evolution of urban land-use patterns. Environ. Plan. A 25(8), 1175–1199 (1993)CrossRefGoogle Scholar
  10. 10.
    Batty, M., Longley, P.A.: Fractal Cities: A Geometry of Form and Function. Academic Press, H Arcourt Brace & Company, Publishers, London (1994)zbMATHGoogle Scholar
  11. 11.
    Benguigui, L.: When and where is a city fractal? Environ. Plan. B 27, 507–519 (2000)CrossRefGoogle Scholar
  12. 12.
    De Keersmaecker, M.-L., Frankhauser, P., Thomas, I.: Using fractal dimensions for characterizing intra-urban diversity: the example of Brussels. Geogr. Anal. 35(4), 310–328 (2003)CrossRefGoogle Scholar
  13. 13.
    Feng, J.: Spatial-temporal evolution of urban morphology and land use structure in Hangzhou. Acta Geogr. Sin. (03), 343–353 (2003)Google Scholar
  14. 14.
    Chen, W., Huo, M., Ma, Y.: Characteristics of the spatial distribution and evolution of rural settlements. J. Henan Agric. Univ. (03), 354–358 (2014)Google Scholar
  15. 15.
    Zhang, M., Chen, R., Tang, C., et al.: Correlation analysis of extraction mechanism of remote sensing anomaly with mineralization and ore-controlling-illustrated by the case of Qimantage Area, Qinghai Province. Commun. Comput. Inf. Sci. 482, 471–485 (2015)Google Scholar

Copyright information

© 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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