Validation of Soft Maps Produced by a Land Use Cover Change Model

  1. Camacho Olmedo, María Teresa
  2. Mas, Jean-François
  3. Paegelow, Martin
Libro:
Land Use Cover Datasets and Validation Tools

ISBN: 9783030909970 9783030909987

Año de publicación: 2022

Páginas: 189-203

Tipo: Capítulo de Libro

DOI: 10.1007/978-3-030-90998-7_10 GOOGLE SCHOLAR lock_openAcceso abierto editor

Información de financiación

Referencias bibliográficas

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  • Camacho Olmedo MT, Paegelow M, Mas J-F (2013) Interest in intermediate soft-classified maps in land change model validation: suitability versus transition potential. Int J Geogr Inf Sci 27(12):2343–2361. https://doi.org/10.1080/13658816.2013.831867
  • Clarklabs (2021) https://clarklabs.org/terrset/land-change-modeler/
  • Eastman JR, Van Fossen ME, Solarzano LA (2005) Transition potential modelling for land cover change. In: Maguire D, Goodchild M, Batty M (eds) GIS, spatial analysis and modeling. ESRI Press, Redlands, California
  • Krüger C, Lakes T (2016) Revealing uncertainties in land change modeling using probabilities. Trans GIS 20:526–546. https://doi.org/10.1111/tgis.12161
  • Mas J-F, Soares-Filho BS, Pontius RG Jr, Gutiérrez MF, Rodrigues H (2013) A suite of tools for ROC analysis of spatial models. ISPRS Int J Geo Inf 2(3):869–887. https://doi.org/10.3390/ijgi2030869
  • Pérez-Vega A, Mas JF, Ligmann-Zielinska A (2012) Comparing two approaches to land use/cover change modeling and their implications for the assessment of biodiversity loss in a deciduous tropical forest. Environ Model Softw 29(1):11–23. https://doi.org/10.1016/j.envsoft.2011.09.011
  • Pontius RG Jr, Parmentier B (2014) Recommendations for using the relative operating characteristic (ROC). Landscape Ecol 29(3):367–382. https://doi.org/10.1007/s10980-013-9984-8
  • Sing T, Sander O, Beerenwinkel N, Lengauer T (2005) ROCR: visualizing classifier performance in R. Bioinformatics 21(20):7881. https://doi.org/10.1093/bioinformatics/bti623