Modelling Land-Use and Land-Cover Changes: A Hybrid Approach to a Coastal Area

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

Abstract

In this chapter, a hybrid approach integrating Cellular Automata (CA), fuzzy logic, logistic regression and Markov chains for modelling and prediction of land-use and land-cover (LULC) change at the local scale, using geographic information with fine spatial resolution is presented. A spatial logistic regression model was applied to determine the transition rules that were used by a conventional CA model. The overall dimension of LULC change was estimated using a Markov chain model. The proposed CA-based model (termed CAMLucc) in combination with physical variables and land-use planning data was applied to simulate LULC change in Portimão, Portugal, between 1947 and 2010 and to predict its future spatial patterns for 2020 and 2025. The main results of this research show that Portimão has been facing massive growth in artificial surfaces, particularly near the main urban settlements and along the coastal area, and reveal an early and intensive urban sprawl over time.
Original languageEnglish
Title of host publicationMethods and Applications of Geospatial Technology in Sustainable Urbanism
EditorsJosé António Tenedório, Rossana Estanqueiro, Cristina Delgado Henriques
PublisherIGI-Global
Chapter3
Pages57-102
Number of pages45
ISBN (Print)9781799822493, 9781799822509, 9781799822516
DOIs
Publication statusPublished - 5 Apr 2021

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