search for: variable_type

...ions (but it does include lines separating the 5 boroughs) plot(NYC2) NYBorough<-readShapePoly("NYBoroughsShapeMerge.shp") # this is a map of the NYC boroughs with census tract divisions plot(NYBorough) myfile<-read.csv("myfile.csv") # my csv file contains 4 columns (ID, variable_type, X, Y) # my goal is to determine whether individuals of variable_type=1 are spatially distributed more than what would be expected due to chance, if individuals of variable_type=0 are spatially distributed more than what would be expected due to chance, and finally if the spatial distribution of va...