JennEYoon / geo-ml

Geo-spatial machine learning projects in Python

geo-ml

Purpose: To explore geospatial deep learning and visualization in Python.

Date: August 10, 2022

Author: Jennifer E. Yoon

1) First Project, Amazon Rainforest deep learning:

See project wiki: https://github.com/JennEYoon/geo-ml/wiki/rainforest

• See folder "rainforest"
• Python libraries: planet_data_api, geopandas, geojson, rasterio, skimage
  PyTorch, Fastai, Tensorflow, Keras
• update, Sept 2024 last extension NICFI. To get data from Google Earth Engine before then.

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2) Second Project, geosnap-maryland machine learning project:

See project wiki: https://github.com/JennEYoon/geo-ml/wiki/geosnap

• See "geosnap-md" folder
• Python libraries: geosnap, pysal
• presented at SciPy 20204, to read proceedings paper, to try out updates. Asking for foreign country mapping help.

Second project is using geosnap and pysal libraries to create a socio-economic neighborhood map for Virginia and Maryland. Source data is from U.S. Census.