Predicción del cambio de cobertura y uso del suelo. El caso de la ciudad de Morelia
The research described herein investigates the patterns of land-use change in a mid-sized, fast-growing city in Mexico during the last 35 years It uses aerial photographs from 1960, 1975 and 1990 as well as Geographic Information Systems (GIS). Interest focuses in exploring the relationships between...
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Universidad Nacional Autónoma de México
2001-03-01
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Series: | Investigaciones Geográficas |
Online Access: | http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/59145 |
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doaj-3abb12dcd6ed4160954de371739b519b2020-11-25T01:12:46ZengUniversidad Nacional Autónoma de MéxicoInvestigaciones Geográficas0188-46112448-72792001-03-0114510.14350/rig.5914551099Predicción del cambio de cobertura y uso del suelo. El caso de la ciudad de MoreliaErna Mariha Lopez GranadosGerardo BoccoManuel Mendoza CantúThe research described herein investigates the patterns of land-use change in a mid-sized, fast-growing city in Mexico during the last 35 years It uses aerial photographs from 1960, 1975 and 1990 as well as Geographic Information Systems (GIS). Interest focuses in exploring the relationships between urban growth and its effects on landscape, as wetl as between urban expansion and population growth. Results indicate that the city of Morelia increased 600% in size from 1960 to 1997. Predictive models of Markov Chains and linear regression analysis have been used to predict the direction of land use change in the next 30 years. The Markovian model has a low prediction level for changes in land cover and land use in the study area. However, linear regression analyses for the relationship between population size and urban surface allow the construction of a more robust model with a better predictive power regarding city growth. The approach used here could be extrapolated for similar areas characterized by urban growth and changes in land cover.http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/59145 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Erna Mariha Lopez Granados Gerardo Bocco Manuel Mendoza Cantú |
spellingShingle |
Erna Mariha Lopez Granados Gerardo Bocco Manuel Mendoza Cantú Predicción del cambio de cobertura y uso del suelo. El caso de la ciudad de Morelia Investigaciones Geográficas |
author_facet |
Erna Mariha Lopez Granados Gerardo Bocco Manuel Mendoza Cantú |
author_sort |
Erna Mariha Lopez Granados |
title |
Predicción del cambio de cobertura y uso del suelo. El caso de la ciudad de Morelia |
title_short |
Predicción del cambio de cobertura y uso del suelo. El caso de la ciudad de Morelia |
title_full |
Predicción del cambio de cobertura y uso del suelo. El caso de la ciudad de Morelia |
title_fullStr |
Predicción del cambio de cobertura y uso del suelo. El caso de la ciudad de Morelia |
title_full_unstemmed |
Predicción del cambio de cobertura y uso del suelo. El caso de la ciudad de Morelia |
title_sort |
predicción del cambio de cobertura y uso del suelo. el caso de la ciudad de morelia |
publisher |
Universidad Nacional Autónoma de México |
series |
Investigaciones Geográficas |
issn |
0188-4611 2448-7279 |
publishDate |
2001-03-01 |
description |
The research described herein investigates the patterns of land-use change in a mid-sized, fast-growing city in Mexico during the last 35 years It uses aerial photographs from 1960, 1975 and 1990 as well as Geographic Information Systems (GIS). Interest focuses in exploring the relationships between urban growth and its effects on landscape, as wetl as between urban expansion and population growth. Results indicate that the city of Morelia increased 600% in size from 1960 to 1997. Predictive models of Markov Chains and linear regression analysis have been used to predict the direction of land use change in the next 30 years. The Markovian model has a low prediction level for changes in land cover and land use in the study area. However, linear regression analyses for the relationship between population size and urban surface allow the construction of a more robust model with a better predictive power regarding city growth. The approach used here could be extrapolated for similar areas characterized by urban growth and changes in land cover. |
url |
http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/59145 |
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