Median household income at the zip code level is shown along with the distribution of farmers markets. Clustering seems to be more strongly associated with location as opposed to following an income-based trend.
Though our graph of the k-function analysis shows that clustering increases at larger distances, it remains that the pattern is, in fact, clustered at all distances, and is shown to be statistically significant at each distance.
The observed point pattern is random, or it is not random.
ENSURING ACCESS TO HEALTHY, LOCALLY GROWN FOOD
Ensuring access to healthy, locally grown food has been a challenge for American cities. This project takes a spatial approach in examining the distribution of farmers markets in philadelphia to see whether markets are randomly placed, dispersed, or clustered throughout the city.
This work aides those with little to no access to markets by determining the extent of clustering; it also helps in the recognition of underserved neighborhoods throughout the city. Download the full text below.