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This paper uses a dynamic urban-growth model, SLEUTH, which applies six geospatial data themes (slope, land use, exclusion, urban extent, transportation, hillside), to study the process of urbanization and associated land use and land cover change in the Tampa Bay area.
The proportion of people in urbanized areas in each unit was calculated using the MODIS 500 m Global Urban Extent raster dataset81,82.
We do not have data on urban extent for city locations.
Schneider, A., Friedl, M. A. & Potere, D. A new map of global urban extent from MODIS satellite data.
Urban extent is predicted to double in the Tampa Bay watershed between 1992 and 2025.
The extracted urban areas were validated with Google Earth images and global urban extent maps.
Similar(22)
Global Rural-Urban Mapping Project, Version 1 (GRUrban): Urban Extents Grid.
We have not extrapolated those city point locations to urban extents or city area estimates.
GeoNames also contains only city point data, meaning it does not include urban extents.
Urban and rural areas are differentiated by the GRUMPv1 Urban Extents.
GRUMP population density and urban extents are predictor variables in the model in this paper.
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