Quantitative Representation of Distribution and Mixture of Urban Land Use Through Spatial Autocorrelation and Information Entropy(Environmental Engineering)

概要

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The distribution and mixture of urban land use in Japanese cities was quantitatively represented by using two indexes of texture analyses, spatial autocorrelation and information entropy. The spatial autocorrelation was calculated as Moran's I, and the entropy acquired by considering not only the composition of the areas of each land use class, but also the relation of adjacent cells. Land use data in urban areas except green areas were obtained from a digital land use map, and green areas by processing remote sensing data using an Aster GDS. These data were compiled by GIS, and the two indexes of each land use were calculated in each class. It was concluded that both indexes indicate different states of land use, and their relation was different in each land use class. In some it was sufficient to consider only the entropy, but in other cases, it was not sufficient. Using these indexes together gave a more accurate portrait than one alone for grasping the distribution and mixture of urban land use.
社団法人日本建築学会の論文