GeoPyTer is a project to support open source geospatial education using Python.

The philosophy of GeoPyTeR is that the value added that a geoeducator brings to their course rests in their perspective on the topic at hand.

At the core of GeoPyTeR are atoms which represent thematic content on a particular geospatial topic in the form of Jupyter notebooks. The atoms form the building blocks for modules, or lectures, that can be formed through a mash-up of atoms. Modules, in turn, can be combined to compose a course. The articulation of an instructor's perspective is in the composition of specific atoms the instructor selects for a module together with the narrative that integrates the atoms to construct the lecture.

1. Foundations (of Programming)
   • Getting Started
   • Basics (Variables)
   • Conditions
   • Debugging
   • Iteration
   • Lists
   • Dictionaries
   • Functions
   • Libraries
   • Classes & Methods
2. Reading & Writing (Unix File I/O)
3. Charts & Graphs
4. Standardisation & Transformation
5. Non-Spatial Inferential Statistics
6. Non-Spatial Bayesian Statistics
7. Maps
8. Point Pattern Analysis
9. Zonal Analysis
10. Raster Analysis
11. Non-Spatial Clustering
12. Spatial Clustering
13. Machine Learning
14. Network Analysis
15. ABMs & CAs
16. GWR
17. Hierarchical Modelling

• GitPython (>= 2.0.6?)
• Markdown (>= 2.6.7?)
• nbformat (>= v4?)

We invite any interested educator, researcher or developer to join the project. The content and structure of this teaching project itself is licensed under the Creative Commons Attribution-ShareAlike 4.0 license, and the contributing source code is licensed under The MIT License.