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Predicting land-cover and land-use change in the urban fringe

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López, Erna, Bocco, Gerardo, Mendoza, Manuel, Duhau, Emilio·2001·Landscape and Urban Planning

Abstract

Land-cover and land-use (LCLU) change was quantified for the last 35 years within and in the vicinity of a fast growing city in Mexico, using rectified aerial photographs and geographic information systems (GIS). LCLU change was projected for the next 20 years using Markov chains and regression analyses. The study explored the relationships between urban growth and landscape change, and between urban growth and population growth. The analysis of Markov matrices suggests that the highest LCLU attractor is the city of Morelia, followed by plantations and croplands. Grasslands and shrublands are the least stable categories. The most powerful use of the Markov transition matrices seems to be at the descriptive rather than the predictive level. Linear regression between urban and population growth offered a more robust prediction of urban growth in Morelia. Hence, we suggest that linear regression should be used when projecting growth tendencies of cities in regions with similar characteristics.

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Metadata

Authors
López, E., Bocco, G., Mendoza, M., & Duhau, E.
Venue
Landscape and Urban Planning
Publisher
Elsevier BV
Published
2001-08
Volume
55
Issue
4
Pages
271-285
ISSN
0169-2046 (ISSN-L)
OpenAlex
W1212601590
Cited by
585
References
0
FWCI
7.16
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Predicting land-cover and land-use change in the urban fringe. https://app.cochat.ai/papers/10.1016/s0169-2046(01)00160-8
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López, E., Bocco, G., Mendoza, M., & Duhau, E. (2001). Predicting land-cover and land-use change in the urban fringe. Landscape and Urban Planning. https://doi.org/10.1016/s0169-2046(01)00160-8

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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