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*Understand regression to select hull count
*Heat map!
 
References for things we used:
 
To do the HCA we used the AgglomerativeClustering method from the sklearn.cluster library (version 0.20.1) in python 3.7.1, with ward linkage and connectivity set to none. This method is documented here: https://scikit-learn.org/stable/modules/clustering.html
 
The data was assembled and processed in Postgresql (version 10) database using PostGIS (version 2.4). We used World Geodetic System revision 84, known as WGS1984 (see https://en.wikipedia.org/wiki/World_Geodetic_System), as a coordinate system with an ellipsoidal earth, to calculate distances and areas (see https://postgis.net/docs/manual-2.4/using_postgis_dbmanagement.html). Shapefiles for Census Places were retrieved from the U.S. Census TIGER (Topologically Integrated Geographic Encoding and Referencing) database (see https://www.census.gov/programs-surveys/geography.html).
 
The statistical analysis was done in STATA/MP version 15.
=Ed's Big Effort=

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