kghite/geospacial-python

🌍 Exploring Spacial Analysis Tools in Python

Summary notes and outcome projects from diving into spacial analysis tools with a focus on GDAL, QGIS, and available Python bindings.

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🛠️ Outcome Projects

1. NPS Trail Quality Analyzer: based on mini-projects ->

   • Identifying Navigable Terrain in Satellite Maps
   • U.S. National Parks Visitor Data Timelapse

2. TFKT - Generate and Log MBTA World Record Routes

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📔 Jupyter Content

1. Manipulating Maps Data

Learning Resources:

• Mapping and GeoData Visualization Mini Course

Reference Keywords: GeoPandas, NetCDF, GRIB, XArray, Cartopy, SRTM, Contextily

2. Working with pyGDAL

Learning Resources:

• Mastering GDAL Tools Mini Course
• Visualizing Forests from Raster Data with pyGDAL

3. Developing QGIS Plugins

• Customizing QGIS with Python Mini Course

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📔 Templates

1. GeoDjango Playground

/geodjango_demo

💡 Other Resources

Content:

• Spacial Thoughts OpenCourseWare
• pyGDAL Cookbook

Datasets:

• Natural Earth -> US National Parks and Protected Lands Maps Dataset
• NPS -> Annual Visitation and Record Year by Park