Mapping Philippine Poverty using Machine Learning, Satellite Imagery, and Crowd-sourced Geospatial Information
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Nov 21, 2022 - Jupyter Notebook
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poverty-mapping
Here are 8 public repositories matching this topic...
Combing satellite imagery and machine learning methods to cluster ward-level povery in Gauteng, South Africa.
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Dec 1, 2020 - Jupyter Notebook
Data and code repository from "Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data"
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Dec 10, 2022 - Jupyter Notebook
A basic walk-through of building a Fusion Tables map showing poverty levels and health centers in California counties.
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Nov 16, 2018
Package for summarizing environmental and residential population information for multiple locations. This detached fork of the package and this repository are not associated with the USEPA.
open-source r shiny gis climate-data census-data ethnicity demographic-analysis gis-data poverty-mapping mapping-tools environmental disparities racial census-blocks disparity-maps environmental-data ej demographics-data census-block-group
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Aug 5, 2025 - R
Figures from ENGAGER Energy Poverty Encyclopedia entry on sub-regional indicators
energy geography energy-data poverty poverty-mapping spatial-data-science neighbourhoods energy-poverty human-geography low-income-high-cost energy-vulnerability energy-justice
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Jan 4, 2021 - R
Reexamining the World Bank's approach to mapping poverty with supervised learning
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May 9, 2017 - HTML
Using sequence and cluster analysis to analyse change over time in fuel poverty estimates.
energy england spatial-analysis cluster-analysis census energy-efficiency spatio-temporal poverty sequence-analysis traminer poverty-mapping tmap local-authority energy-poverty fuel-poverty energy-society
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Sep 24, 2024 - R
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