Quantification of similarity between land cover categories
Visualitza/Obre
Cita com:
hdl:2099/13322
Tipus de documentText en actes de congrés
Data publicació2012-10
EditorCentre de Política de Sòl i Valoracions
Universidade Federal do Rio de Janeiro
Universidade Federal do Rio de Janeiro
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
The transformation from forest and rural to developed land is growing dramatically
worldwide. A measure of the underlying structure of this shift is needed to better understand the nature of this change and to be able to establish control mechanisms at a regional scale.
Landscape metrics evaluate the morphology of the spatial pattern at the object level (patch) through the categorization of Land Cover, generally without considering the similarities or dissimilarities between categories in the classification.
This work uses the Mean Edge Contrast Index (MECI) to quantify the structure of the
counties around Columbus, OH. This index doesn’t make a hard distinction between
categories, since it uses a matrix that assigns a value to the contrast between each Land Cover class pairwise, and measures the degree of contrast between each patch and its
immediate neighborhood.
The values of the matrix are obtained through the comparison of MECI and a studied
variable, obtaining a measure of the similarity or dissimilarity of each class that better explains each variable. These relationships are visualized with different techniques to better understand their similarities.
CitacióValls Dalmau, Francesc; Roca Cladera, Josep. Quantification of similarity between land cover categories. A: International Conference Virtual City and Territory. "8º Congreso Internacional Ciudad y Territorio Virtual, Río de Janeiro, 10, 11 y 12 Octubre 2012". Rio de Janeiro: UFRJ, 2012.
Fitxers | Descripció | Mida | Format | Visualitza |
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Quantification ... Land Cover categories.pdf | Mesa 5 | 2,410Mb | Visualitza/Obre |