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Land Cover Change: Statistical Indexes Using the Enhanced Transition Matrix

Land Cover Change: Statistical Indexes Using the Enhanced Transition Matrix

Carlos Pérez-Hugalde, Patricia Delgado-Pérez, Raúl Romero-Calcerrada
ISBN13: 9781616928711|ISBN10: 1616928719|EISBN13: 9781616928735
DOI: 10.4018/978-1-61692-871-1.ch003
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MLA

Pérez-Hugalde, Carlos, et al. "Land Cover Change: Statistical Indexes Using the Enhanced Transition Matrix." Computational Methods for Agricultural Research: Advances and Applications, edited by Hércules Antonio do Prado, et al., IGI Global, 2011, pp. 30-49. https://doi.org/10.4018/978-1-61692-871-1.ch003

APA

Pérez-Hugalde, C., Delgado-Pérez, P., & Romero-Calcerrada, R. (2011). Land Cover Change: Statistical Indexes Using the Enhanced Transition Matrix. In H. do Prado, A. Barreto Luiz, & H. Filho (Eds.), Computational Methods for Agricultural Research: Advances and Applications (pp. 30-49). IGI Global. https://doi.org/10.4018/978-1-61692-871-1.ch003

Chicago

Pérez-Hugalde, Carlos, Patricia Delgado-Pérez, and Raúl Romero-Calcerrada. "Land Cover Change: Statistical Indexes Using the Enhanced Transition Matrix." In Computational Methods for Agricultural Research: Advances and Applications, edited by Hércules Antonio do Prado, Alfredo Jose Barreto Luiz, and Homero Chaib Filho, 30-49. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-871-1.ch003

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Abstract

The present chapter discusses an analysis of land cover change based on the enhanced transition matrix, and provides a detailed interpretation of the results of the case study chosen: a protected area in the region of Madrid (central Spain) between 1990 and 2000. The method adopted introduces concepts and indicators to study the statistical information contained in the transition matrix in greater depth than with the traditional approach. The chapter describes all the formal, theoretical and practical aspects of the method, along with the preparation of the data and the analysis of the results. The method proved to be useful for synthesizing the land changes observed and identifying systematic transitions.

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