4 citations · 7 across the 3 of their papers we have counts for
3 papers
Kernel Regression for Spatial and Spatio-Temporal Residual Risk: Application to School Shootings in the Contiguous United States
Tilman M. Davies, Michael R. Desjardins, Alexander Hohl +1
School gun violence in the United States is a complex phenomenon spanning social, epidemiological, demographic, and political dimensions. It remains unclear where incidents are unu…
Tutorial on kernel estimation of continuous spatial and spatiotemporal relative risk with accompanying instruction in R
Tilman M. Davies, Jonathan C. Marshall, Martin L. Hazelton
Kernel smoothing is a highly flexible and popular approach for estimation of probability density and intensity functions of continuous spatial data. In this role it also forms an i…
lgcp An R Package for Inference with Spatio-Temporal Log-Gaussian Cox Processes
Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson +1
This paper introduces an R package for spatio-temporal prediction and forecasting for log-Gaussian Cox processes. The main computational tool for these models is Markov chain Monte…