chrisyeh96 / africa_poverty_clean
☆21Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for africa_poverty_clean
- ☆107Updated 9 months ago
- This repo hosts data and scripts to replicate Ratledge et al 2022 in Nature☆21Updated last year
- Code and data to support our paper☆74Updated 2 years ago
- Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs☆16Updated 2 years ago
- Collection of tools and training materials for exploring the open Nighttime Lights repository☆32Updated 2 months ago
- Steps to create electrification estimates from settlement maps and nighttime satellite imagery.☆15Updated 4 years ago
- Towards causal inference for spatio-temporal data: conflict and forest loss in Colombia☆21Updated 2 years ago
- A python module for the synthetic control method☆54Updated 4 months ago
- Develop machine learning models for poverty estimation☆27Updated 6 months ago
- Codes and data to plot figures in the paper "Micro-Estimates of Wealth for all Low- and Middle-Income Countries"☆12Updated 3 years ago
- Spatial econometric regression in Python☆73Updated last week
- A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty☆82Updated last year
- Repository of code associated with the paper "Using Neural Networks to Predict Micro-Spatial Economic Growth"☆35Updated 2 years ago
- ☆12Updated 3 weeks ago
- California surface water quantity data☆22Updated 2 years ago
- HiRoNEx: Historical road network extractor: A python tool for automatic, fully unsupervised extraction of historical road networks from h…☆74Updated 2 years ago
- Supplementary package for "Spatio-Temporal Statistics with R" by C.K. Wikle, A. Zammit-Mangion, and N. Cressie☆78Updated 5 months ago
- ☆14Updated 2 years ago
- Spatially Clustered Regression☆10Updated 2 years ago
- A practical guide to climate econometrics: Navigating key decision points in weather and climate data analysis.☆35Updated 4 months ago
- ☆104Updated 2 years ago
- SpaCE, the Spatial Confounding Environment, loads benchmark datasets for causal inference methods tackling spatial confounding☆14Updated last month
- ☆31Updated 2 weeks ago
- Spatial Modelling for Data Scientists☆82Updated 7 months ago
- Characterizing urban land use with machine learning☆29Updated 4 years ago
- scoring rules to evaluate probabilistic forecasts☆59Updated 2 months ago
- SPatial INTeraction Models (spint)☆54Updated 11 months ago
- ☆19Updated 5 months ago
- ☆46Updated 3 years ago
- GOST's combined tools for urban analysis☆10Updated this week