cellular automata land use change simulation winform application

This is a cellular automata(CA) land use change simulation winform application. It includes four different CA algorithms. There are:

1. random forest ca
2. neural network ca
3. decision tree ca
4. logistic regression ca

please reference releated paper for the detail of these four algorithms

You can try all of them and choose one that is sutiable for your requirements.

techonology stack

• GUI: c# winform
• data io: gdal
• machine learning module: accord

The program is designed with oop(object oriented programming) and we use multithread technology to improve performance.

usage

Please refer usage manual for a pdf usage manual.

Please refer tutorial video for a tutorial vedio.

development

• clone the repository to local using git clone

git clone https://github.com/zhuang-hao-ming/winca.git

• open the .sln file in visual studio 2015(or other versions that use a packages.config file to manage nuget)
• right click the solution and choose restore nuget packages
• build and run the project

screenshots

• main window:

• setup window:

• setup window landuse:

• setup window transfer control

• console

• animation