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Description:

pyincore 1.19.0

pyIncore is a component of IN-CORE. It is a python package
consisting of two primary components: 1) a set of service classes to
interact with the IN-CORE web services described below, and 2) IN-CORE
analyses. The pyIncore allows users to apply various hazards to infrastructure
in selected areas, propagating the effect of physical infrastructure damage
and loss of functionality to social and economic impacts.

Installation with conda
Installing pyincore with Conda is officially supported by IN-CORE development team.
To add conda-forge channel to your environment, run
conda config –-add channels conda-forge
To install pyincore package, run
conda install -c in-core pyincore
To update pyIncore, run
conda update -c in-core pyincore
You can find detail information at the
Installation
section at IN-CORE manual.

Installation with pip
Installing pyincore with pip is NOT supported by IN-CORE development team.
Please use pip for installing pyincore at your discretion.
Installing pyincore with pip is only tested on linux environment.
Prerequisite

GDAL C library must be installed to install pyincore. (for Ubuntu, gdal-bin and libgdal-dev)
ipopt executable must be installed to run some analyses such as seaside CGE, joplin CGE, etc.

To install pyincore package, run
pip install pyincore

Testing and Running
Please read the Testing and
Running
section at IN-CORE manual.

Documentation
pyIncore documentation can be found at
https://incore.ncsa.illinois.edu/doc/incore/pyincore.html
pyIncore technical reference (API) can be found at
https://incore.ncsa.illinois.edu/doc/pyincore/.

Acknowledgement
This work herein was supported by the National Institute of Standards
and Technology (NIST) (Award No. 70NANB15H044). This support is
gratefully acknowledged. The views expressed in this work are those of
the authors and do not necessarily reflect the views of NIST.