Metadata-Version: 2.1
Name: pyincore-viz
Version: 1.2.0
Summary: IN-CORE visualization python package
Home-page: https://git.ncsa.illinois.edu/incore/pyincore-viz
License: Mozilla Public License v2.0
Keywords: infrastructure,resilience,hazards,data discovery,IN-CORE,earthquake,tsunami,tornado,hurricane,dislocation
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Requires-Dist: branca (==0.3.1)
Requires-Dist: ipyleaflet (<0.13.7,>=0.13.4)
Requires-Dist: ipywidgets (<8,>=7.6.0)
Requires-Dist: pandas (>=0.24.1)
Requires-Dist: geopandas (>=0.6.1)
Requires-Dist: rasterio (>=1.1.3)
Requires-Dist: descartes (>=1.1.0)
Requires-Dist: contextily (>=1.0.0)
Requires-Dist: numpy (<2.0a0,>=1.16.6)
Requires-Dist: scipy (>=1.2.0)
Requires-Dist: networkx (>=2.2)
Requires-Dist: owslib (>=0.17.1)
Requires-Dist: matplotlib (>=2.1.0)
Requires-Dist: plotly (>=3.6.0)
Requires-Dist: pytest (>=3.9.0)
Requires-Dist: pyincore (>=0.9.0)

This package is designed for visualizing the output of pyIncore analyses.pyIncore is a Python package to analyze and visualize various hazard (earthquake, tornado, hurricane etc.) scenarios developed by the Center for Risk-Based Community Resilience Planning team from NCSA. The development is part of NIST sponsored IN-CORE (Interdependent Networked Community Resilience Modeling Environment) initiative. pyIncore allows users to apply hazards on infrastructure in selected areas. Python framework acceses underlying data through local or remote services and facilitates moving and synthesizing results.


