This is trying to break the original LEAM codes to pieces and reorganize for more advanced automation.

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Update:

Data Analysis

1. multicostModel.py:

   • generate pop_grav_attr.txt, emp_grav_attr.txt, pop_cost.txt, and emp_cost.txt in ./Data by calling cities.py. Note: codes in cities.py and multicostModel.py are learned from original LEAM codes.
   • python multicostModel.py

2. dataanalysis.py:

   • generate res/com frequency vs. attractivenss & travelcost over population centers or employment centers in ./Data/analysis
   • python dataanalysis.py <attrbasketnum> <costbasketnum> -c <pop/emp>

Automate Quantile Color Map Scale

1. multicostModel.py:

• generate .tif maps in ./Data

2. genSimMap.py:

   • generate .map files for each .tif maps in ./Outputs for the quantile color

3. connectLEAMsite.py:

   • upload .tif with its .map to the plone website.
   • `python connectLEAMsite.py

😄 This is so cool!