3 papers
stat.AP2019
Sequential Spatial Point Process Models for Spatio-Temporal Point Processes: A Self-Interactive Model with Application to Forest Tree Data
Adil Yazigi, Antti Penttinen, Anna-Kaisa Ylitalo +3
We model the spatial dynamics of a forest stand by using a special class of spatio-temporal point processes, the sequential spatial point process, where the spatial dimension is pa…
stat.AP2019
Horvitz-Thompson-like estimation with distance-based detection probabilities for circular plot sampling of forests
Kasper Kansanen, Petteri Packalen, Matti Maltamo +1
In circular plot sampling, trees within a given distance from the sample plot location constitute a sample, which is used to infer characteristics of interest for the forest area.…
stat.AP2018
Gaussian process regression for forest attribute estimation from airborne laser scanning data
Petri Varvia, Timo Lähivaara, Matti Maltamo +2
While the analysis of airborne laser scanning (ALS) data often provides reliable estimates for certain forest stand attributes -- such as total volume or basal area -- there is sti…