Measuring heterogeneity in urban expansion via spatial entropy
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DOI: 10.1002/env.2548
Abstract: The lack of efficiency in urban diffusion is a debated issue, important for biologists, urban specialists, planners and statisticians, both in developed and new developing countries. Many approaches have been considered to measure urban sprawl,… read more here.
Keywords: entropy; spatial entropy; heterogeneity; urban expansion ... See more keywords
Spatial entropy drives the maintenance and dissemination of transferable plasmids
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DOI: 10.1038/s44320-025-00110-8
Abstract: The dissemination of transferable plasmids, a major type of mobile genetic elements (MGEs), is one main driver of antibiotic resistance outbreaks. While the plasmid persistence condition in well-mixed environments has been extensively studied, most microbiota… read more here.
Keywords: transferable plasmids; dissemination; maintenance; spatial entropy ... See more keywords
A modified spatial entropy for urban sprawl assessment
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DOI: 10.1080/10106049.2019.1678676
Abstract: Abstract Urban sprawl is recognized as a challenge in urbanization. It is an unplanned spread of cities into its surrounding area that is caused by rising urban population. This phenomenon, if not properly controlled, can… read more here.
Keywords: modified spatial; feature selection; spatial entropy; entropy ... See more keywords
Spatial Entropy Quartiles-Based Texture-Aware Fractional-Order Unsharp Masking for Visibility Enhancement of Remotely Sensed Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3049402
Abstract: A noniterative fractional-order (FO) two-dimensional (2-D) adaptive filtering mechanism is proposed in this article. Quartiles-based adaptive textural segmentation is employed for the calculation of texture-dependent FO. Statistically, the quartiles/quintiles/quantiles are cut points for dividing the… read more here.
Keywords: texture; fractional order; spatial entropy; quartiles based ... See more keywords
Fast Identification of Urban Sprawl Based on K-Means Clustering with Population Density and Local Spatial Entropy
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DOI: 10.3390/su10082683
Abstract: As urban sprawl is proven to jeopardize the sustainability system of cities, the identification of urban sprawl is essential for urban studies. Compared with previous related studies which tend to utilize more and more complicated… read more here.
Keywords: spatial entropy; local spatial; urban sprawl; population ... See more keywords