What You See Is Not What Is There: Mechanisms, Models and Methods for Point Pattern Deviations
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.
Authors
- Aila Särkkä
- Thordis L. Thorarinsdottir (ORCID: https://orcid.org/0000-0001-6702-0469)
- Mikko Kuronen
- PETER GUTTORP
- M. Myllymäki
- Janine Illian
- Joel Kostensalo
Institutions
- Norwegian Computing Center (NO)
- University of Oslo (NO)
- Natural Resources Institute Finland (FI)
- Chalmers University of Technology (SE)
- University of Glasgow (GB)
Publication Details
- Journal
- Statistical Science
- Published
- 2026-01-14
- DOI
- https://doi.org/10.1214/24-sts953
- Primary Topic
- Point processes and geometric inequalities
- Type
- article
- Field-Weighted Citation Impact
- 0.00