This series of posts will introduce you to the methods required for spatial programming. Focusing on building your core programming techniques helps you use satellite imagery, track land-use change, track social distance during a pandemic, etc. Some Python programming experience is required, however, the material will be presented in a student-friendly manner and will focus on real-world applications. Open-source Python packages such as GeoPandas, Rasterio, Sklearn, and Geowombat are also necessary.
Content
Chapter 1 — Spatial Data Introduction
Chapter 2 — Data Formats
Chapter 2 — Practice Spatial Vector Data with GeoPandas
Chapter 2 — Practice Spatial Points Lines Polygons cont.
Chapter 2 — Spatial Raster Data in Python cont.
cont.
