Building a python simulation to evaluate the efficacy of a Zika virus vector control measure proposed by the Centers for Disease Control.
When the small numbers problem exists in spatial data, any statistical analysis that follows may inaccurately represent the data. In this post, I highlight several methods with which one may address the small numbers issue.
A spatial analysis of violent crime clustering in Tarrant county, Texas using the spatial scan statistic and the Getis-Ord Gi* cluster analysis.
We created a stochastic model to simulate Chagas disease transmission in the event of a major earthquake in Chile.
Relative risk explained and demonstrated in a worked out example.
Lyme disease data for Texas between the years 2000 and 2014 prepared and ready for your analysis in file geodatabase format.
A short list of GIS data sources which I have found very useful.
A few things I’ve learned since graduating and joining the GIS industry.