Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas (2022)
Attributed to:
Integrated Deprived Area Mapping System (IDEAMAPS) Network
funded by
GCRF
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.compenvurbsys.2022.101820
Publication URI: http://dx.doi.org/10.1016/j.compenvurbsys.2022.101820
Type: Journal Article/Review
Parent Publication: Computers, Environment and Urban Systems