Today we discussed how we can apply GIS in the field of health geography. Health data can be extremely sensitive, uncertainties are always a factor, and it is difficult to incorporate good practices to form solid research. Using a well defined population group, using surveyed data, allowing for latency times and population movements are some good practices that make up a well considered study. Some studies approach issue by mapping the actual disease and others may focus on mapping disease determinants. GIS can effectively look at accessibility, exposure, social networks and capital that permit accessibility, and even physical activity opportunities. Often times GIS analyses are measuring the proximity of populations to health care facilities or potential health risks. I also learned that cluster analyses in health geography research commonly employ the Poisson distribution.