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Fuzzy Coincidence

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Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

Fuzzy logic provides techniques to deal with inaccuracies or ambiguities in both the attribute and the geometry of spatial data. In this technical note, the fuzzy approach used to assess the spatial coincidence between a modeled map and an observed (true) map is presented.

See Chap. 4 about validation.

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References

  • Almeida C, Gleriani J, Castejon E, Soares-Filho B (2008) Neural networks and cellular automata for modeling intra-urban land use dynamics. Int J Geogr Inf Sci 22(9):943–963

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  • Cuevas G, Mas J-F (2008) Land use scenarios: a communication tool with local communities. In: Paegelow M, Camacho Olmedo MT (eds) Modelling environmental dynamics. Springer, Berlin, pp 223–246

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  • Hagen A (2003) Fuzzy set approach to assessing similarity of categorical maps. Int J Geogr Inf Sci 17(3):235–249

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Correspondence to J.F. Mas .

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Mas, J. (2018). Fuzzy Coincidence. In: Camacho Olmedo, M., Paegelow, M., Mas, JF., Escobar, F. (eds) Geomatic Approaches for Modeling Land Change Scenarios. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-60801-3_22

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