InVEST urban cooling model calibration documentation¶
Automated calibration of the InVEST urban cooling model with simulated annealing.
This library requires specific versions of the gdal and rtree libraries, which can easily be installed with conda as in:
$ conda install -c conda-forge 'gdal<3.0' rtree 'shapely<1.7.0'
Then, this library can be installed as in:
$ pip install invest-ucm-calibration
An alternative for the last step is to clone the repository and install it as in:
$ git clone https://github.com/martibosch/invest-ucm-calibration.git $ python setup.py install