activity
20172023
most citedWhat is the Fourier Transform of a Spatial Point Process?

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

stat.AP2023

Visualizing the Wavenumber Content of a Point Pattern

Jake P. Grainger, Tuomas A. Rajala, David J. Murrell +1

Spatial point patterns are a commonly recorded form of data in ecology, medicine, astronomy, criminology, epidemiology and many other application fields. One way to understand thei…

stat.ME2020★ 2 cited

What is the Fourier Transform of a Spatial Point Process?

Tuomas A. Rajala, Sofia C. Olhede, Jake P. Grainger +1

This paper determines how to define a discretely implemented Fourier transform when analysing an observed spatial point process. To develop this transform we answer four questions;…

stat.ME2018★ 1 cited

Multivariate Geometric Anisotropic Cox Processes

James S. Martin, David J. Murrell, Sofia C. Olhede

This paper introduces a new modelling framework for multivariate anisotropic Cox processes. Building on recent innovations in multivariate spatial statistics, we propose a new fami…

q-bio.PE2018

When do we have the power to detect biological interactions in spatial point patterns?

T. Rajala, S. Olhede, D. J. Murrell

Determining the relative importance of environmental factors, biotic interactions and stochasticity in assembling and maintaining species-rich communities remains a major challenge…

stat.ME2017

Detecting multivariate interactions in spatial point patterns with Gibbs models and variable selection

Tuomas Rajala, David Murrell, Sofia Olhede

We propose a method for detecting significant interactions in very large multivariate spatial point patterns. This methodology develops high dimensional data understanding in the p…