Locations of trees recorded at Waka National Park, Gabon, annotated with diameter (in centimeters) marks
Examples
Basic Examples (1) 
Summary of the spatial point data:
Visualizations (3) 
Plot the spatial point data:
Visualize the points with annotations:
Visualize the smooth point density:
Analysis (6) 
Compute probability of finding a point within given radius of an existing point - NearestNeighborG is the CDF of the nearest neighbor distribution:
NearestNeighborG as the CDF of nearest neighbor distribution can be used to compute the mean distance between a typical point and its nearest neighbor - the mean of a positive support distribution can be approximated via a Riemann sum of 1- CDF. To use Riemann approximation create the partition of the support interval from 0 to maxR into 100 parts and compute the value of the NearestNeighborG at the middle of each subinterval:
Now compute the Riemann sum to find the mean distance between a typical point and its nearest neighbor:
Account for scale and units:
Test for complete spatial randomness:
Fit a Poisson point process to data:
Bibliographic Citation
Gosia Konwerska,
"Sample Data: Waka Trees"
from the Wolfram Data Repository
(2022)
Data Resource History
Publisher Information