A Python module for CA models based on geo-raster data
Project description
geoca
A Python module for CA models based on geo-raster data
- Free software: MIT License
- Documentation: https://Haorui-Jiang.github.io/geoca
Features
- Read raster data from a file, convert the data into a Python list.
- Create a raster template based on the input raster, and replace the data from list into the new raster.
- Running CA models based on raster data to analyze population and other resource migration.
- Reads multiple raster data (.tif) from a folder and stores it in a dictionary.
- Reorganizes data from a list dictionary representing multiple raster data.
File Template
- cookiecutter-pypackage: Cookiecutter template creating a Python package with mkdocs.
Acknowledgement
Special thanks to Dr. Qiusheng Wu from the University of Tennessee for his generous sharing. I have learned a great deal from Dr. Wu's YouTube videos, and with his guidance, I was able to develop geoca step by step. Once again, I express my deepest gratitude to Dr. Wu.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
geoca-0.0.5.tar.gz
(848.8 kB
view hashes)
Built Distribution
Close
Hashes for geoca-0.0.5-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5ad150c758d0f718c7c425c69972174c499ff54a197d120291017a2a378773a4 |
|
MD5 | 154b9a437d5f512f708a9981e08abfa8 |
|
BLAKE2b-256 | 38fc0c4373ff0eb0e96509a9d7d205b5b35c0d43791c004df5a3135be1c5b425 |