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Evaluating the use of multiple imagery-derived spatial features to predict census demographic variables in Accra, Ghana.

, , and . IGARSS, page 7318-7321. IEEE, (2016)

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Do the most vulnerable people live in the worst slums? A spatial analysis of Accra, Ghana., , and . Ann. GIS, 17 (4): 221-235 (2011)Evaluating the Ability to Use Contextual Features Derived from Multi-Scale Satellite Imagery to Map Spatial Patterns of Urban Attributes and Population Distributions., , , and . Remote. Sens., 13 (19): 3962 (2021)Mapping slums using spatial features in Accra, Ghana., , , , , , and . JURSE, page 1-4. IEEE, (2015)Evaluating the Ability to Use Contextual Features to Map Deprived Areas 'Slums' in Multiple Cities., , , , , and . IGARSS, page 3620-3623. IEEE, (2023)Evaluating the relationship between spatial and spectral features derived from high spatial resolution satellite data and urban poverty in Colombo, Sri Lanka., , , , and . JURSE, page 1-4. IEEE, (2017)Using remotely sensed data to map variability in health and wealth indicators in Accra, Ghana., , , and . JURSE, page 145-148. IEEE, (2011)Development of a Multi-City Deprived Area Mapping Ecosystem., , , and . IGARSS, page 2122-2125. IEEE, (2021)Assessing the relationship between spatial features derived from high resolution satellite imagery and census variables in Accra, Ghana., , , and . IGARSS, page 2544-2547. IEEE, (2015)Contextural feature evaluation of multi-resolution imagery., , and . IGARSS, page 6782-6785. IEEE, (2016)Evaluating the use of multiple imagery-derived spatial features to predict census demographic variables in Accra, Ghana., , and . IGARSS, page 7318-7321. IEEE, (2016)