Examining the detail of a natural disaster in Italy in 2009 has helped KAUST researchers develop a statistical model that could help predict landslides in specific areas under given storm scenarios.

Instead of estimating the density or intensity of points across an area, we could instead try and model where points will be using some statistical model combined with some spatial covariates. \[ \log ...

This page provides information regarding a spatial point pattern test I developed as part of my PhD Dissertation. This is a point pattern test that measures the degree of similarity at the local level ...

Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns.

Nearest neighbour analysis compares the observed average distances between nearest neighbouring points and those of a known pattern. The nearest neighbour statistic, or the R-scale, is calculated by ...

Adaptive kernel density estimation where we allow the bandwidth to vary across the region. Relative risk estimation, where we use a ratio of density estimates to estimate risk of disease across a ...