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Foundations and Applications of Intelligent Systems pp 433–441Cite as

Measuring Landscapes Quality Using Fuzzy Logic and GIS

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 213)

Abstract

A methodology to evaluate visual quality and fragility of landscapes with fuzzy logic and GIS is given. The fuzzy concept of landscape is modeled with fuzzy sets and fuzzy connectives and used in ArcGIS to evaluate every point of a map.

Keywords

  • GIS
  • Fuzzy logic
  • Visual fragility
  • Visual quality
  • Landscape
  • Intrinsic visual fragility
  • Acquired visual fragility

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  • DOI: 10.1007/978-3-642-37829-4_37
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References

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Author information

Authors and Affiliations

  1. MTIG Geography, Complutense University of Madrid, Madrid, Spain

    Victor Estévez González

  2. DISIA, Computer Science Faculty, Complutense University of Madrid, Madrid, Spain

    Luis Garmendia Salvador

  3. DACYA, Computer Science Faculty, Complutense University of Madrid, Madrid, Spain

    Victoria López López

Authors
  1. Victor Estévez González
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  2. Luis Garmendia Salvador
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  3. Victoria López López
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Corresponding author

Correspondence to Victor Estévez González .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, People's Republic of China

    Fuchun Sun

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, People's Republic of China

    Tianrui Li

  3. Department of Computer Science and Techn, Tsinghua University, Beijing, People's Republic of China

    Hongbo Li

Appendix

Appendix

Abstract of fuzzy sets and fuzzy overlay used in the paper:

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© 2014 Springer-Verlag Berlin Heidelberg

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González, V.E., Salvador, L.G., López, V.L. (2014). Measuring Landscapes Quality Using Fuzzy Logic and GIS. In: Sun, F., Li, T., Li, H. (eds) Foundations and Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37829-4_37

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  • DOI: https://doi.org/10.1007/978-3-642-37829-4_37

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