https://github.com/johnowhitaker/baobab_project

Various tools related to the resource assesment of baobabs in Zimbabwe
https://github.com/johnowhitaker/baobab_project

Last synced: about 2 months ago
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Various tools related to the resource assesment of baobabs in Zimbabwe

• Host: GitHub
• URL: https://github.com/johnowhitaker/baobab_project
• Owner: johnowhitaker
• Created: 2014-04-22T10:19:21.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2015-01-23T07:03:46.000Z (almost 10 years ago)
• Last Synced: 2023-08-17T11:03:21.841Z (over 1 year ago)
• Language: Python
• Size: 949 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Baobab Project Utilities

========================

NOTE: Updated versions of these tools have been developed, with imporoved processes and a GUI. This code maintained for reference - please contact me for info until I get a tutorial online (coming soon!)

Various tools related to the resource assesment of baobabs in Zimbabwe.

To install dependancies in Ubuntu:

  sudo apt-get install qgis python-pygame python-sklearn python-imaging

  

Tools:

1) download_shapefile.py - downloads images from Google's static maps server for each point in a shapefile.

    Usage: python download_shapefile.py "path/to/shapefile"

                          

2) geo_convert.py - methods used in other programs, not intended to be used on its own

3) shapefile.py - library for reading shapefiles (not my code - see http://code.google.com/p/pyshp/)

4) review.py - go through the images aquired with download_shapefile.py, click to tag a baobab, right click for unsure.

    Usage: python review2.0.py "/path/to/images" "shapefile_name_to_save_as"

    e.g. python review2.0.py 'sample data/*.png' 'test_review'

5) rforest.py - build a model based on one shapefile, make a prediction for each point in a different shapefile and save this prediction to a new shapefile. Edit the various paths in the program then run with 'python rforest.py'