README.md

---
dataset:
  - name: Replication Data for Integrating Earth Observation Data into Causal Inference
tags:
  - causal-inference
  - earth-observation
  - satellite-imagery
  - geospatial
  - observational-data
  - research-data
configs:
- config_name: default
  data_files:
  - split: train
    path: YandW_mat.csv # Default 'train' split in the viewer
license: mit
---

[![GitHub Repo](https://img.shields.io/badge/GitHub-View%20Repo-black?style=flat-square&logo=github&logoColor=white)](https://github.com/cjerzak/causalimages-software)

**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)

For more information: [**PlanetaryCausalInference.org**](https://planetarycausalinference.org/).

[<img src="https://i0.wp.com/connorjerzak.com/wp-content/uploads/2024/08/EO_WorkflowVizV52.png?resize=1187%2C1536&ssl=1">](https://connorjerzak.com/gci-overview/)