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August 13th 2018



We've got an email from mailchimp to keep people informed if you don't want to check the wiki for updates.


This is Tennessee's second FOSS4G meeting.

It's an opportunity for Free and Open Source Software for GIS users in the area to get together and discuss projects, software, and get to know one another. The event is low cost. We are looking for sponsors (we'll make you famous).


Plant Biotech Building UT Ag Campus 2505 EJ Chapman Dr Knoxville, TN 37996


So this year we're charging $10 for admission to help defray some of the cost.


If the money is an issue with you attending let me (rjhale@northrivergeographic.com) and we will get it handled.



If you want to speak email rjhale@northrivergeographic.com and the committee will get back with you. Talks will be 20 minutes with 5 minutes for questions. I'll post the speakers and abstract up here as they come in.

Building an Open Geo Server - Randal Hale, NRGS - PostGIS is an extension to the postgresql database that allows you to store geographic Data. Geoserver is an open source server for sharing geospatial data. Using these two pieces of software (plus QGIS) we will create a very quick server application that will hold geospatial data and server it out using OGC Standards in 20 minutes or less...or the next one is free.

Fusing Geopolitics, Human Development, and Environmental Policy Data to Predict Population Stability through Open Source Software: A Case Study Across Africa - Dr. Hannah C. Gunderman, Advanced Short-Term Research Opportunities Program Participant at Oak Ridge National Laboratory - Although Africa has experienced notable successes in technology, healthcare, and transportation development, there remain several factors that threaten the stability of several countries within the continent. The role that geopolitics, human development, and environmental health play on population stability is significant. This research will demonstrate a methodology for providing a scenario-based population forecast for each of the 54 countries in Africa based on the data fusion of several geopolitical, environmental, and social metrics. Conducted 100% through Python in PyCharm, African countries are categorized on a 1-5 scale of scenario-based population stability for the next five years based on considerations of their population structure, their Human Development Index, Fragile States Index, and Environmental Performance Index scores, and if the country is experiencing geopolitical unrest. The resulting visualization, made exclusively in QGIS, allows geopoliticians, humanitarian researchers, and data scientists to devote increased attention toward predicted crisis areas on the continent.


  • North River Geographic Systems, Inc.
  • University of Tennessee Department of Geography
  • UT County Technical Assistance Service