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Data and code for the article:

A probabilistic framework based on the gradient descent algorithm for multi-objective land use optimization

This is an implementation of the probabilistic framework with the probabilistic multi-objective optimization of land use (pMOLU) model and gradient descent algorithm for land use optimization.

We provide the open-source code and data for the paper here.

Please cite our article:

Haowen Luo & Bo Huang (2023) A probabilistic framework with the gradient-based method for multi-objective land use optimization, International Journal of Geographical Information Science, (In production) DOI: 10.1080/13658816.2023.2178001

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A probabilistic spatial optimization framework

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