Skip to content

Commit

Permalink
Merge branch 'main' of https://github.com/mdp0023/SVInsight
Browse files Browse the repository at this point in the history
  • Loading branch information
mdp0023 committed Apr 29, 2024
2 parents dfa1bdf + 835d1ae commit 6e7c07c
Showing 1 changed file with 1 addition and 1 deletion.
2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/svinsight)
![PyPI](https://img.shields.io/pypi/v/svinsight)

*SVInsight* is a python package for calculating an exploratory social vulnerability index. This package calculates SVI using two methods: (1) an iterative factor analysis method and (2) a rank method, both of which have been heavily utilized in scholarly research. This package automates the creation and comparisons of indices using U.S. American Community Survey 5-Year Data (ACS5) at the block group or tract level. Users can customize which social, demographic, and economic variables are included in their own custom indices.
*SVInsight* is a python package for calculating an exploratory social vulnerability index. This package calculates SVI using two methods: (1) an iterative factor analysis method and (2) a rank method, both of which have been heavily utilized in scholarly research. This package automates the creation and comparison of indices using U.S. American Community Survey 5-Year Data (ACS5) at the block group or tract level. Users can customize which social, demographic, and economic variables are included in their own custom indices.

This package is a tool to efficiently calculate an exploratory estimate of social vulnerability for a given region. Social vulnerability is an incredibly complex and constantly evolving concept, and researchers, practitioners, and users of this software should always consult relevant peer-reviewed literature and local experts to validate findings.

Expand Down

0 comments on commit 6e7c07c

Please sign in to comment.