Please use this identifier to cite or link to this item:
Title: Desenvolvimento do padrão de crescimento urbano: modelação da dinâmica do solo urbano em Andaluzia
Author: Barbosa, Ana Luisa Lopes
Advisor: Bação, Fernando José Ferreira Lucas
Keywords: Andaluzia
Expansão urbana
Sistemas de informação geográfica
Modelos uso do solo / Ocupação do solo
Redes neuronais artificiais
Land transformation model
Urban sprawl
LUCC models
Artificial neuronal network
Geographic information systems
Defense Date: 26-Mar-2009
Series/Report no.: Mestrado em Ciência e Sistemas de Informação Geográfica;TSIG0050
Abstract: From the diverse range of approaches available to model land use changes models, in this study the objective is to highlight the potential of a specific toll to predict changes in land use, Artificial Neural Networks. The purpose of this study is to evaluate the effectiveness of Artificial Neural Networks to predict urban land changes at regional scale, using different calibrations of the Land Transformation Model. This model uses a learningmachine to quantify and model the behavior and the complex patterns of land use and the Geographic Information System to manage the database, develop predictive variables, spatial analysis and to evaluate the results. The LTM was parameterized to the Andalusia region, to explore how factors such as line of the coastline, watercourses, roads, highways, urban land, recreational areas, population density, the railroads, airports, forest soil, agricultural soil, big cities, can influence urbanization pattern, using two different periods, from 1987 to 2003 and 1995 to 2003. (...)
Description: Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Ciência e Sistemas de Informação Geográfica
Appears in Collections:NIMS - Dissertações de Mestrado em Ciência e Sistemas de Informação Geográfica

Files in This Item:
File Description SizeFormat 
TSIG0050.pdf3,23 MBAdobe PDFView/Open

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.