Estimation of summary characteristics from replicated spatial point processes

Abstract

Various approaches to estimating summary characteristics from replicated observations of a stationary point process are discussed. The estimators are compared with respect to their integrated squared error.

The methods are demonstrated on a replicated dataset from forestry.

Keywords

• K-function
• nearest-neighbour distance distribution function
• non-parametric estimation
• point process
• replication