We wanted to understand the relationship between civil unrest (war, riots, protest) and protected areas in Democratic Republic of Congo, Africa.
Availability of refuge, resources, infrastructure and low enforcement are all hypothesised to drive conflict near or within Protected Areas.
We contributed a null model statistical analysis comparing real distribution of distance of conflict from protected areas with an equal number of randomly distributed 'false conflicts'. Using these datasets we conducted an independent t-test proving a significant difference between the distribution of real and random conflicts and protected areas.
We had a great time at #EcoHack-NYC and hope this transparent, reproducible analysis using open source data and tools helps advance understanding in this area!
The primary datasets used for this work were:
Take a look at our Github Repository for our working notes and code.