[HTML][HTML] “Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A …
A Abascal, N Rothwell, A Shonowo… - … , environment and urban …, 2022 - Elsevier
The majority of urban inhabitants in low-and middle-income country (LMIC) cities live in
deprived urban areas. However, policy efforts and the monitoring of global goals and …
deprived urban areas. However, policy efforts and the monitoring of global goals and …
[HTML][HTML] Gridded population survey sampling: a systematic scoping review of the field and strategic research agenda
Introduction In low-and middle-income countries (LMICs), household survey data are a main
source of information for planning, evaluation, and decision-making. Standard surveys are …
source of information for planning, evaluation, and decision-making. Standard surveys are …
[HTML][HTML] Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas
Many cities in low-and medium-income countries (LMICs) are facing rapid unplanned
growth of built-up areas, while detailed information on these deprived urban areas (DUAs) is …
growth of built-up areas, while detailed information on these deprived urban areas (DUAs) is …
[HTML][HTML] Towards user-driven earth observation-based slum mapping
Earth observation (EO) capabilities to produce up-to-date geographical information on slums
over large areas supporting urban planning and evidence-based policymaking are largely …
over large areas supporting urban planning and evidence-based policymaking are largely …
[HTML][HTML] Uncertainty-aware interpretable deep learning for slum mapping and monitoring
Over a billion people live in slums, with poor sanitation, education, property rights and
working conditions having a direct impact on current residents and future generations. Slum …
working conditions having a direct impact on current residents and future generations. Slum …
[HTML][HTML] A census from heaven: Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments
Urban population distribution maps are vital elements for monitoring the Sustainable
Development Goals, appropriately allocating resources such as vaccination campaigns, and …
Development Goals, appropriately allocating resources such as vaccination campaigns, and …
[HTML][HTML] Urban poverty maps-From characterising deprivation using geo-spatial data to capturing deprivation from space
Most earth observation (EO) approaches only yield a binary delineation of deprived/non-
deprived areas–an oversimplified characterisation with little information inferred regarding …
deprived areas–an oversimplified characterisation with little information inferred regarding …
[HTML][HTML] Spatial information gaps on deprived urban areas (slums) in low-and-middle-income-countries: A user-centered approach
Routine and accurate data on deprivation are needed for urban planning and decision
support at various scales (ie, from community to international). However, analyzing …
support at various scales (ie, from community to international). However, analyzing …
[HTML][HTML] Analysis of openstreetmap data quality at different stages of a participatory mapping process: Evidence from slums in Africa and Asia
G Yeboah, J Porto de Albuquerque, R Troilo… - … International Journal of …, 2021 - mdpi.com
This paper examines OpenStreetMap data quality at different stages of a participatory
mapping process in seven slums in Africa and Asia. Data were drawn from an …
mapping process in seven slums in Africa and Asia. Data were drawn from an …
[HTML][HTML] Evaluating the accuracy of gridded population estimates in slums: a case study in Nigeria and Kenya
Low-and middle-income country cities face unprecedented urbanization and growth in
slums. Gridded population data (eg,~ 100× 100 m) derived from demographic and spatial …
slums. Gridded population data (eg,~ 100× 100 m) derived from demographic and spatial …