Spatial Data and Python Code for 13 Development Potential Indices (part 02)

2019-06-14T08:50:01Z (GMT) by James R. Oakleaf
Second of four zipfiles providing all data and Python code necessary to replicate any of the 13 development potential indexes (DPIs) described within Oakleaf et al. (2019), “Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors”. A README.pdf guides users on setting up environment necessary to use data and run Python code. To run Python code with accompanying spatial data, 64 GBs of disk space is required. Additionally ArcPY, a python module associated with ESRI’s ArcGIS Desktop, and an accompanying Spatial Analyst extension license are required to run Python code. All code was created by J.R. Oakleaf during 2018 and is licensed under Creative Commons Attribution-NonCommercial 4.0 International License http://creativecommons.org/licenses/by-nc/4.0/.