Work

What You See Is Not What Is There: Mechanisms, Models and Methods for Point Pattern Deviations

Year: 2026

Type: article

Abstract: 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.

Source: Statistical Science

DOI: 10.1214/24-sts953

Authors: Peter Guttorp, Janine Illian, Joel Kostensalo, Mikko Kuronen, Mari Myllymäki, Aila Särkkä, Thordis L. Thorarinsdottir

Institutions: Norwegian Computing Center, University of Glasgow, Natural Resources Institute Finland, Chalmers University of Technology, University of Gothenburg, University of Oslo

Language: English

Topic: Point processes and geometric inequalities

Subfield: Applied Mathematics

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: University of Minnesota, European Commission, Academy of Finland, U.S. Geological Survey

Awards: Artificial Intelligence for Twinning the Diversity, Productivity and Spectral Signature of Forests, Forest-Human-Machine Interplay - Building Resilience, Redefining Value Networks and Enabling Meaningful Experiences, Forest-Human-Machine Interplay - Building Resilience, Redefining Value Networks and Enabling Meaningful Experiences

OpenAlex ID: W7123791960

FWCI:

Cites: 109

Cited by: 1

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