Installation

Using Anaconda or Miniconda (recommended)

Using conda (latest version recommended), SICOR is installed as follows:

Create virtual environment for SICOR (optional but recommended), and install SICOR itself:

$ conda create -c conda-forge --name sicor_env sicor
$ conda activate sicor_env

Alternatively, you can of course install SICOR in an already existing environment by simply running:

$ conda install -c conda-forge sicor

conda is the preferred method to install SICOR, as it will always install the most recent stable release and automatically resolve all the dependencies.

Using pip (not recommended)

There is also a pip installer for SICOR. However, please note that SICOR depends on some open source packages that may cause problems when installed with pip. Therefore, we strongly recommend to resolve the following dependencies before the pip installer is run:

• arosics>=1.2.4

• gdal

• h5py

• matplotlib

• numba

• numpy

• pyproj

• pytables

• scikit-image>=0.20.0

• scikit-learn<=0.24.0

Then, the pip installer can be run by:

$ pip install sicor

If you don’t have pip installed, this Python installation guide can guide you through the process.

Using git (not recommended)

Alternatively you can install SICOR by cloning the following repository:

git clone https://git.gfz-potsdam.de/EnMAP/sicor.git
cd sicor
python setup.py install