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cs.LG2024
A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty
Kazuki Sakamoto, Connor T. Jerzak, Adel Daoud
Earth observation (EO) data such as satellite imagery can have far-reaching impacts on our understanding of the geography of poverty, especially when coupled with machine learning…
cs.LG2023
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images
Connor T. Jerzak, Adel Daoud
The causalimages R package enables causal inference with image and image sequence data, providing new tools for integrating novel data sources like satellite and bio-medical imager…