Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology

Illian, J. B. and Burslem, D. F.R.P. (2017) Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology. AStA Advances in Statistical Analysis, 101(4), pp. 495-520. (doi:10.1007/s10182-017-0301-8)

Illian, J. B. and Burslem, D. F.R.P. (2017) Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology. AStA Advances in Statistical Analysis, 101(4), pp. 495-520. (doi:10.1007/s10182-017-0301-8)

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Abstract

The last few decades have seen an increasing interest and strong development in spatial point process methodology, and associated software that facilitates model fitting has become available. A lot of this progress has made these approaches more accessible to users, through freely available software. However, in the ecological user community the methodology has only been slowly picked up despite its obvious relevance to the field. This paper reflects on this development, highlighting mutual benefits of interdisciplinary dialogue for both statistics and ecology. We detail the contribution point process methodology has made to research on biodiversity theory as a result of this dialogue and reflect on reasons for the slow take-up of the methodology. This primarily concerns the current lack of consideration of the usability of the approaches, which we discuss in detail, presenting current discussions as well as indicating future directions.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Illian, Professor Janine
Authors: Illian, J. B., and Burslem, D. F.R.P.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:AStA Advances in Statistical Analysis
Publisher:Springer
ISSN:1863-8171
ISSN (Online):1863-818X
Published Online:14 July 2017
Copyright Holders:Copyright © 2017 The Authors
First Published:First published in AStA Advances in Statistical Analysis 101(4):495-520
Publisher Policy:Reproduced under a Creative Commons License

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