Comments (3)
Update:
- Created initial data processing notebook for PHL NTL
- We can't replicate the prior stats used exactly as
kurtosis
isn't available. Rasterstats also provides standard deviation while prior work used variance, so we need an extra step (takestd ** 2
) to get variance
To do
- - Export the csv to our cloud storage (support needed: need to know target output schema of this csv file)
- - Refactor notebook for presentation and redoing for other countries
- - Redo for all the countries
from unicef-ai4d-poverty-mapping.
For NTL processing
- Compare QGIS with Python
- Investigate discrepancies
from unicef-ai4d-poverty-mapping.
from unicef-ai4d-poverty-mapping.
Related Issues (20)
- Create research paper outline
- Blog Post
- improve consistency and relabel bins of roll out notebooks
- Final Version for Roll Out Notebooks HOT 1
- Produce training datasets for each model
- Final Paper Writing
- Pytest + Geopandas not in requirements HOT 1
- Paper Writing: Abstract
- Paper Writing: Introduction
- Paper Writing: Methods / Datasets
- Paper Writing: Experiments / Results & Discussion HOT 1
- Paper Writing: Conclusion
- Paper Writing: Final Paper
- Updating of main, about, and progress sections of official doc site HOT 1
- Update read.me of repo HOT 1
- Create consolidated, publicly accessible wealth maps
- Adding context to past studies to establish novelty/value-add of paper
- Positioning our work as a benchmark for future poverty mapping work across SEA
- Paper
- Geowrangler cannot find module raster_process.
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