What You See Is Not What Is There: Mechanisms, Models and Methods for Point Pattern Deviations
Artikel i vetenskaplig tidskrift, 2026
Many natural systems are observed as point patterns in time, space, or space and time. Examples include plant and cellular systems, animal colonies, earthquakes and wildfires. In practice, the locations of the points are not always observed correctly. However, in the point process literature, there has been relatively scant attention paid to the issue of errors in the location of points. In this paper, we discuss how the observed point pattern may deviate from the actual point pattern and review methods and models that exist to handle such deviations. The discussion is supplemented with several scientific illustrations.
thinning
measurement error
point process
missing data
Ghost point
Key words and phrases
Författare
Peter Guttorp
Norsk Regnesentral (NR)
Janine Illian
University of Glasgow
Joel Kostensalo
Naturresursinstitutet (Luke)
Mikko Kuronen
Naturresursinstitutet (Luke)
Mari Myllymaki
Naturresursinstitutet (Luke)
Aila Särkkä
Göteborgs universitet
Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik
Thordis L. Thorarinsdottir
Universitetet i Oslo
Statistical Science
0883-4237 (ISSN)
Vol. 41 1 143-162Ämneskategorier (SSIF 2025)
Geovetenskap och relaterad miljövetenskap
Matematik
DOI
10.1214/24-STS953