| Name | geoca JSON |
| Version |
0.0.11
JSON |
| download |
| home_page | None |
| Summary | A Python module for CA models based on geo-raster data |
| upload_time | 2024-09-20 01:13:48 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | MIT License |
| keywords |
geoca
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
numpy
rasterio
tqdm
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# geoca
[](https://pypi.python.org/pypi/geoca)
[](https://opensource.org/licenses/MIT)
English [简体中文](README.zh.md)
**A Python module for CA models based on geo-raster data**
- Free software: MIT License
- Documentation: [https://Haorui-Jiang.github.io/geoca](https://Haorui-Jiang.github.io/geoca)
## Features
- Read raster data from a file and convert the data to a format such as a Python list.
- Creates a raster template from the input raster data and uniformly replaces the data in the corresponding position of that raster template.
- Running CA models based on raster data to analyze population and other resource migration.
## File Template
- [cookiecutter-pypackage](https://github.com/opengeos/cookiecutter-pypackage): Cookiecutter template creating a Python package with mkdocs.
## Acknowledgement
Special thanks to [Dr. Qiusheng Wu](https://github.com/giswqs) from the University of Tennessee for his generous sharing. Dr. Wu has greatly enriched my knowledge of Python with his great tutorials on [YouTube](https://youtube.com/playlist?list=PLAxJ4-o7ZoPcD-6wZ2xY5bXuu48Scu8kq&si=dq_x-xUJZvoflVqy). It is with the help of his instructional videos that I have been able to develop geoca for Python. Once again, I express my deepest gratitude to Dr. Wu.
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