Poverty mapping replication code
Abstract/Contents
- Abstract
- Replication code and data for "Combining satellite imagery and machine learning to predict poverty", Jean, Burke, et al Science, 2016
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | May 2016 |
Creators/Contributors
| Author | Burke, Marshall | |
|---|---|---|
| Author | Jean, Neal |
Subjects
| Subject | computer science |
|---|---|
| Subject | earth systems science |
| Subject | poverty |
| Subject | machine learning |
| Subject | remote sensing |
| Genre | Dataset |
Bibliographic information
| Related Publication | Jean, N., Burke, M., Xie, M., Davis, W.M., Lobell, D.B., and Ermon, S. (2016). "Combining satellite imagery and machine learning to predict poverty." Science, 353(6301), 790-794. doi: 10.1126/science.aaf7894 |
|---|---|
| Related item |
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| Location | https://purl.stanford.edu/cz134jc5378 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred Citation
- "Combining satellite imagery and machine learning to predict poverty", Jean, Burke, et al Science, 2016
Collection
Stanford Research Data
View other items in this collection in SearchWorksContact information
- Contact
- mburke@stanford.edu
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