TY - JOUR
AU - Baddeley, Adrian
AU - Turner, Rolf
AU - Mateu, Jorge
AU - Bevan, Andrew
PY - 2013/11/13
Y2 - 2024/05/20
TI - Hybrids of Gibbs Point Process Models and Their Implementation
JF - Journal of Statistical Software
JA - J. Stat. Soft.
VL - 55
IS - 11
SE - Articles
DO - 10.18637/jss.v055.i11
UR - https://www.jstatsoft.org/index.php/jss/article/view/v055i11
SP - 1 - 43
AB - We describe a simple way to construct new statistical models for spatial point pattern data. Taking two or more existing models (finite Gibbs spatial point processes) we multiply the probability densities together and renormalise to obtain a new probability density. We call the resulting model a hybrid. We discuss stochastic properties of hybrids, their statistical implications, statistical inference, computational strategies and software implementation in the R package <b>spatstat</b>. Hybrids are particularly useful for constructing models which exhibit interaction at different spatial scales. The methods are demonstrated on a real data set on human social interaction. Software and data are provided.
ER -