Geneticland: Modelling Land-Use Change Using Evolutionary Algorithms

J. Seixas, J.P. Nunes, P. Lourenço, J. Corte-Real

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

3 Citations (Scopus)

Abstract

Future land-use configurations provide valuable knowledge for policy makers and economic agents, especially under expected environmental changes such as decreasing rainfall or increasing temperatures. This chapter proposes an optimisation approach for modelling land-use change in which landscapes (land uses) are generated through the use of an evolutionary algorithm called GeneticLand. It is designed for a multiobjective function that aims at the minimisation of soil erosion and the maximisation of carbon sequestration, under a set of local restrictions. GeneticLand has been applied to a Mediterranean landscape, located in southern Portugal. The algorithm design and the results obtained show the feasibility of the generated landscapes, the appropriateness of the evolutionary methods to model land-use changes and the spatial characteristics of the landscape solutions that emerge when physical drivers have a major influence on their evolution.
Original languageEnglish
Title of host publicationModelling Land-Use Change
EditorsEric Koomen, John Stillwell, Aldrik Bakema, Henk J. Scholten
Pages181-197
Number of pages17
ISBN (Electronic)9781402064845, 9781402056482
DOIs
Publication statusPublished - 2007
Externally publishedYes

Publication series

NameGeoJournal Library
Volume90
ISSN (Print)0924-5499
ISSN (Electronic)2215-0072

Keywords

  • climate change
  • evolutionary computing
  • land use
  • long-term
  • Mediterranean landscape
  • optimisation
  • Spatial planning

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