Metadata-Version: 2.1
Name: spatdapy
Version: 0.0.2
Summary: Streamlining Spatial Analyses of Cicular Data Set of Properties
Home-page: UNKNOWN
Author: jbrinkm (Jacob Brinkmann)
Author-email: <jbrinkm@umich.edu>
License: UNKNOWN
Keywords: python,spatial,alalysis,MSCG,stadium,Michigan Sports Consulting Group
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Other Audience
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
Requires-Dist: geopandas
Requires-Dist: geopy
Requires-Dist: haversine


# **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/


