InVEST urban cooling model calibration documentation

Automated calibration of the InVEST urban cooling model with simulated annealing.

User guide:

Development:

Installation

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