--- dataset: - name: Replication Data for Integrating Earth Observation Data into Causal Inference tags: - causal-inference - earth-observation - satellite-imagery - geospatial - observational-data - research-data license: mit --- **Replication Data for:** Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities **Details:** `YandW_mat.csv` contains individual-level observational data. In the dataset, `LONGITUDE` and `LATITUDE` refer to the approximate geo-referenced long/lat of observational units. Experimental outcomes are stored in `Yobs`. The treatment variable is stored in `Wobs`. The unique image key for each observational unit is saved in `UNIQUE_ID`. Geo-referenced satellite images are saved in `./Nigeria2000_processed/%s_BAND%s.csv`, where the first "`%s`" refers to the image key associated with each observation (saved in `UNIQUE_ID` in `YandW_mat.csv`) and `BAND%s` refers to one of 3 bands in the satellite imagery. **Code Link:** https://github.com/cjerzak/causalimages-software/ **Paper Reference:** Connor T. Jerzak, Fredrik Johansson, Adel Daoud. Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities. ArXiv Preprint, 2023. [[PDF]](https://arxiv.org/pdf/2301.12985) [](https://connorjerzak.com/gci-overview/)