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- W2513009909 abstract "Urban sprawl and its evolution over relatively short periods of time demands that we develop statistical tools to make best use of the routinely produced land use data from satellites. An efficient smoothing framework to estimate spatial patterns in binary raster maps derived from land use datasets is developed and presented in this paper. The framework is motivated by the need to model urbanization, specifically urban sprawl, and also its temporal evolution. We frame the problem as estimation of a probability of urbanization surface and use Bayesian P-splines as the tool of choice. Once such a probability map is produced, with associated uncertainty, we develop exploratory tools to identify regions of significant change across space and time. The proposal is used to study urbanisation and its development around the city of Bologna, Emilia Romagna, Italy, using land use data from the Cartography Archive of Emilia Romagna Region for the period 1976–2008." @default.
- W2513009909 created "2016-09-16" @default.
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- W2513009909 date "2016-08-27" @default.
- W2513009909 modified "2023-09-23" @default.
- W2513009909 title "Smoothing of land use maps for trend and change detection in urbanization" @default.
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- W2513009909 doi "https://doi.org/10.1007/s10651-016-0354-y" @default.
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