In this paper, we investigate the effects of using null models that incorporate spatial information, and we propose a novel null model based on the radiation model of population spread.
Null Models for Community Detection in Spatially-Embedded, …
Jul 23, 2014 · In this paper, we investigate the effects of using null models that take incorporate spatial information, and we propose a novel null model based on the radiation model of …
Outlier detection in spatial error models using modified …
Apr 15, 2024 · We propose the Spatial-Θ-Iterative Procedure for Outlier Detection (Spatial-Θ-IPOD), which utilizes a mean-shift vector to identify outliers within the SEM. Our method …
Generating spatially constrained null models for irregularly …
May 13, 2015 · Spatial autocorrelation jeopardizes the validity of statistical inference, for example correlation and regression analysis. Restricted randomization methods can account for the …
(PDF) Enhancing Space-Aware Community Detection Using …
Feb 23, 2017 · Recently, some null-models have been proposed for spatial networks, and applied to the community detection problem. In this article, we propose a new null-model adapted to …
Comparing spatial null models for brain maps
Aug 1, 2021 · Recently, multiple methods have been developed to generate null distributions that preserve the spatial autocorrelation of brain maps and yield more accurate statistical …
6 - Spatial Lag and Spatial Error Models - Cambridge University …
If the OLS diagnostics indicate the presence of a diffusion process, the researcher will wish to estimate a spatial lag model via maximum likelihood (ML) estimation or an instrumental …
The statistical validation of null models used in spatial …
Traditional statistical techniques for detecting between-species spatial association patterns are invalidated when within-species spatial distributions exhibit patchy, clumped, or other kinds of …
Null models for community detection in spatially embedded, …
In this paper, we investigate the effects of using null models that incorporate spatial information, and we propose a novel null model based on the radiation model of population spread.
We propose the Spatial-Θ-Iterative Procedure for Outlier Detection (Spatial-Θ-IPOD), which utilizes a mean-shift vector to identify outliers within the SEM. Our method enables an efective …