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Geomatic Approaches for Modeling Land Change Scenarios pp 507–509Cite as

A Short Presentation of LucSim

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

Abstract

LucSim is a cellular automata (CA) dedicated to geographical analysis and spatial simulation for researchers and advanced planning institutes, providing user-friendly software in order to analyze and simulate land use changes and dynamics. Two complementary models are integrated in the CA: (1) a Markov Chain used to calculate transition matrices from a date to another, and (2) a Decision Tree able to automatically determine a set of transition rules to be applied on land use data. LucSim includes GIS compatibility functions allowing to display ESRI shapefiles and is based on raster georeferenced images saved in TIF format. It was mostly applied on French urban case studies.

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Reference

  • Torrens P (2000) How cellular models of urban systems work, Working paper series 28(1) Centre for Advanced Spatial Analysis 68 p

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Author information

Authors and Affiliations

  1. Laboratoire the MA, UMR 6049 CNRS, University of Burgundy Franche-Comté, Franche-Comté, France

    J. P. Antoni

Authors
  1. J. P. Antoni
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Correspondence to J. P. Antoni .

Editor information

Editors and Affiliations

  1. Departamento de Análisis Geográfico Regional y Geografía Física, Universidad de Granada, Granada, Spain

    María Teresa Camacho Olmedo

  2. Département de Géographie, Aménagement, Environnement, Université Toulouse Jean Jaurès, Toulouse, Garonne (Haute), France

    Martin Paegelow

  3. Centro de Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de México (UNAM), Morelia, Michoacán, Mexico

    Jean-François Mas

  4. Department of Geology, Geography and Environmental Sciences, University of Alcalá, Alcalá de Henares, Madrid, Spain

    Francisco Escobar

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© 2018 Springer International Publishing AG

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Antoni, J.P. (2018). A Short Presentation of LucSim. 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_37

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