Progress on AntColony

.gitignore

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 .mypy_cache/
 .dmypy.json
 dmypy.json
+
+# Virtual environment
+venv/

gis/README.md

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+# GIS Examples
+
+## Vector Data
+
+- [GeoSchelling Model (Polygons)](https://github.com/projectmesa/mesa-examples/tree/main/gis/geo_schelling)
+- [GeoSchelling Model (Points & Polygons)](https://github.com/projectmesa/mesa-examples/tree/main/gis/geo_schelling_points)
+- [GeoSIR Epidemics Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/geo_sir)
+- [Agents and Networks Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/agents_and_networks)
+
+## Raster Data
+
+- [Rainfall Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/rainfall)
+- [Urban Growth Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/urban_growth)
+
+## Raster and Vector Data Overlay
+
+- [Population Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/population)

gis/agents_and_networks/.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+env/
+venv/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# DotEnv configuration
+.env
+
+# Database
+*.db
+*.rdb
+
+# Pycharm
+.idea
+
+# VS Code
+.vscode/
+
+# Spyder
+.spyproject/
+
+# Jupyter NB Checkpoints
+.ipynb_checkpoints/
+
+# exclude data from source control by default
+# /data/
+
+# Mac OS-specific storage files
+.DS_Store
+
+# vim
+*.swp
+*.swo
+
+# Mypy cache
+.mypy_cache/
+
+**/*.pkl

gis/agents_and_networks/README.md

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+Agents and Networks Model 
+=========================
+
+[![](https://img.youtube.com/vi/zIRMNPTBESc/0.jpg)](https://www.youtube.com/watch?v=zIRMNPTBESc)
+
+## Summary
+
+This is an implementation of the [GMU-Social Model](https://github.com/abmgis/abmgis/blob/master/Chapter08-Networks/Models/GMU-Social/README.md) in Python, using [Mesa](https://github.com/projectmesa/mesa) and [Mesa-Geo](https://github.com/projectmesa/mesa-geo).
+
+In this model, buildings are randomly assigned to agents as their home and work places, and the buildings' nearest road vertices are used as their entrances. Agents' commute routes can be found as the shortest path between entrances of their home and work places. These commute routes are segmented according to agents' walking speed. In this way, the movements of agents are constrained on the road network.
+
+### GeoSpace
+
+The GeoSpace contains multiple vector layers, including buildings, lakes, and a road network. More specifically, the road network is constructed from the polyline data and implemented by two underlying data structures: a topological network and a k-d tree. First, by treating road vertices as nodes and line segments as links, a topological network is created using the NetworkX and momepy libraries. NetworkX also provides several methods for shortest path computations (e.g., Dijkstra, A-star). Second, a k-d tree is built for all road vertices through the Scikit-learn library for the purpose of nearest vertex searches.
+
+### GeoAgent
+
+The commuters are the GeoAgents.
+
+## How to run
+
+First install the dependencies:
+
+```bash
+python3 -m pip install -r requirements.txt
+```
+
+Then run the model:
+
+```bash
+python3 scripts/run.py --campus ub
+```
+
+Change `ub` to `gmu` for a different campus map.
+
+Open your browser to [http://127.0.0.1:8521/](http://127.0.0.1:8521/) and press `Start`.
+
+## License
+
+The data is from the [GMU-Social Model](https://github.com/abmgis/abmgis/blob/master/Chapter08-Networks/Models/GMU-Social/README.md) and is licensed under the [Creative Commons Attribution-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/).