Locations of murders in Toronto annotated with marks including victim age, victim sex, type, murder method, and year
Locations of murders in Toronto in the observation region that is the polygon shape of Toronto, annotated with marks including victim age, victim sex, type, murder method, and year.
Basic Examples (2)
Retrieve the data:
Summary of the spatial point data:
Plot the spatial point data:
Visualize the smooth point density:
Visualize the data with annotations:
Compute probability of finding a point within given radius of an existing point - NearestNeighborG is the CDF of the nearest neighbor distribution:
Mean distance between a typical point and its nearest neighbor (for positive support distribution can be approximated via a Riemann sum of 1-CDF):
"Sample Data: Toronto Murders"
from the Wolfram Data Repository
Data Resource History