2023年7月1日 · We obtained United Nations (UN) supported field mapping data that identified deprived “slum” areas in Accra’s urban core, data on housing and population conditions from …

In this study we utilize spatial, structural, and contextual features (e.g., PanTex, Histogram of Oriented Gradients, Line Support Regions, Hough transforms and others) calculated at …

We obtained a spatial map of 78 slum pockets and settlements for the AMA from a detailed field mapping exercise that was jointly conducted in 2011 by the Accra Metropolitan Assembly and …

This repository contains all the jupyter notebooks and R used for slum/deprivation mapping case study in Accra, Ghana. It contians codes for poverty mapping using machine learning and …

Methods: We obtained United Nations (UN) supported field mapping data that identified deprived "slum" areas in Accra's urban core, data on housing and population conditions from the most …

In this study we utilize spatial, structural, and contextual features (e.g., PanTex, Histogram of Oriented Gradients, Line Support Regions, Hough transforms and others) calculated at multiple...

2023年7月1日 · This article proposes a machine learning, hierarchical object-based method to map slum settlements using very high-resolution (VHR) imagery and land boundary data to …

2015年3月30日 · In this study we utilize spatial, structural, and contextual features (e.g., PanTex, Histogram of Oriented Gradients, Line Support Regions, Hough transforms and others) …

We obtained a spatial map of 78 slum pockets and settlements for the AMA from a detailed field mapping exercise that was jointly conducted in 2011 by the Accra Metropolitan Assembly and …

Objectives: We apply a spatial modelling approach to identify census enumeration areas (EAs) in the Greater Accra Metropolitan Area (GAMA) of Ghana with a high probability of being a …