# **spatial.py**
This Library is intended to assist with SPATIAL ANALYSES For purposes of this library, a SPATIAL ANALYSIS is defined as the ANALYSIS of PROPERTIES SURROUNDING a CENTRAL LOCATION via their PROPERTY VALUE and STRAIGHT LINE DISTANCE (SLD) to the CENTRAL LOCATION within a RADIUS OF INTEREST.
## To utilize this library, a CSV FILE is required
* The file MUST be a database CONTAINING PROPERTY ADDRESSES and PROPERTY VALUES
* The file MUST be organized into TWO COLUMNS with the above data
* These columns MUST HAVE NAMES contained in the first cell - this is how we traverse with PANDAS
## To utilize this library GEOPANDAS, GEOPY, and HAVERSINE MUST be INSTALLED
* Either local installation or Google Colab installation via '!pip install #library name#'
## Notes on organization of spatial.py file
* The comments throughout this file explain the purpose of each function via REQUIRES, MODIFIES, and EFFECT (RME) clauses and occasional notes
* This LIBRARY is organized via a CLASS called !!SpatialAnalysis!!. This was the best way I could think to organize all the data with abstraction
* Meaning a class instance MUST be declared to make calls to the functions
* READ the COMMENTS above !!def __init__!! to understand how to declare an instance of the class
# Autors Note
This library was a passion project made for purposes of streamlining work that the Michigan Sports Consulting Group (MSCG) at the University of Michigan does for Economic Analysis Reports. By uploading this, I hope that this work for MSCG will have an impact that outlasts my time in the club. I also hope others find use of this library.
Best,
Jacob Brinkmann
https://www.linkedin.com/in/jacob-brinkmann-567438206/
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"description": "\n# **spatial.py**\n\n This Library is intended to assist with SPATIAL ANALYSES For purposes of this library, a SPATIAL ANALYSIS is defined as the ANALYSIS of PROPERTIES SURROUNDING a CENTRAL LOCATION via their PROPERTY VALUE and STRAIGHT LINE DISTANCE (SLD) to the CENTRAL LOCATION within a RADIUS OF INTEREST.\n## To utilize this library, a CSV FILE is required\n* The file MUST be a database CONTAINING PROPERTY ADDRESSES and PROPERTY VALUES\n* The file MUST be organized into TWO COLUMNS with the above data\n * These columns MUST HAVE NAMES contained in the first cell - this is how we traverse with PANDAS\n## To utilize this library GEOPANDAS, GEOPY, and HAVERSINE MUST be INSTALLED\n* Either local installation or Google Colab installation via '!pip install #library name#'\n## Notes on organization of spatial.py file\n* The comments throughout this file explain the purpose of each function via REQUIRES, MODIFIES, and EFFECT (RME) clauses and occasional notes\n* This LIBRARY is organized via a CLASS called !!SpatialAnalysis!!. This was the best way I could think to organize all the data with abstraction\n * Meaning a class instance MUST be declared to make calls to the functions\n * READ the COMMENTS above !!def __init__!! to understand how to declare an instance of the class\n\n # Autors Note\n This library was a passion project made for purposes of streamlining work that the Michigan Sports Consulting Group (MSCG) at the University of Michigan does for Economic Analysis Reports. By uploading this, I hope that this work for MSCG will have an impact that outlasts my time in the club. I also hope others find use of this library. \n\nBest,\nJacob Brinkmann\n https://www.linkedin.com/in/jacob-brinkmann-567438206/\n\n\n",
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