i'm doing a paper for university and i'm having problems with statistical analysis in QGIS (v.3.28). i have two sets of waypoints (nests) from two different years plotted on a beach in QGIS. visually it's very clear that year 1 waypoints (N=10) are far more spread out or less clustered together than in year 2(N=15).
my approach was to use 'mean coordinates' tool to find the center point of each cluster, then measured the distances of each waypoint to its center point for that year with 'distance to hub'. i averaged the distances for year 1 and year 2 and used a simple t-test to compare the two means, but it's not statistically significant, which i thought it would be.
this is fine, but i'm not sure if my methods are reliable or if i can measure this in another, easier, much more accurate way.
Hotspot Analysisplugin to calculate the Moran's Index which will indicate whether the clusters are random or not.