Skip to content

Research at St Andrews

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

Research output: Contribution to journalArticle

DOI

Open Access permissions

Open

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.
Close

Details

Original languageEnglish
Pages (from-to)495-520
JournalAdvances in Statistical Analysis
Volume101
Issue number4
Early online date14 Jul 2017
DOIs
StatePublished - Oct 2017

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales

    Yuan, Y., Bachl, F. E., Lindgren, F., Borchers, D. L., Illian, J. B., Buckland, S. T., Rue, H. & Gerrodette, T. Dec 2017 In : Annals of Applied Statistics. 11, 4, p. 2270-2297

    Research output: Contribution to journalArticle

  2. A spatiotemporal multispecies model of a semicontinuous response

    Jones-Todd, C. M., Swallow, B. T., Illian, J. B. & Toms, M. 4 Oct 2017 In : Journal of the Royal Statistical Society: Series C (Applied Statistics). Early View

    Research output: Contribution to journalArticle

  3. Bayesian computing with INLA: a review

    Rue, H., Riebler, A., Sørbye, S. H., Illian, J. B., Simpson, D. P. & Lindgren, F. K. Apr 2017 In : Annual Review of Statistics and its Application. 4, p. 395-421 17 p.

    Research output: Contribution to journalReview article

  4. Re-evaluation of individual diameter: height allometric models to improve biomass estimation of tropical trees

    Ledo, A., Cornulier, T., Illian, J. B., Iida, Y., Kassim, A. R. & Burslem, D. F. R. P. 1 Dec 2016 In : Ecological Applications. 26, 8, p. 2374-2380 7 p.

    Research output: Contribution to journalArticle

  5. Lianas and soil nutrients predict fine-scale distribution of above-ground biomass in a tropical moist forest

    Ledo, A., Illian, J. B., Schnitzer, S. A., Wright, S. J., Dalling, J. W. & Burslem, D. F. R. P. Nov 2016 In : Journal of Ecology. 104, 6, p. 1819-1828 10 p.

    Research output: Contribution to journalArticle

Related by journal

  1. From distance sampling to spatial capture-recapture

    Borchers, D. L. & Marques, T. A. Oct 2017 In : Advances in Statistical Analysis. 101, 4, p. 475-494 20 p.

    Research output: Contribution to journalArticle

  2. Measuring temporal trends in biodiversity

    Buckland, S. T., Yuan, Y. & Marcon, E. Oct 2017 In : Advances in Statistical Analysis. 101, 4, p. 461-474

    Research output: Contribution to journalArticle

  3. Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges

    Patterson, T. A., Parton, A., Langrock, R., Blackwell, P. G., Thomas, L. & King, R. Oct 2017 In : Advances in Statistical Analysis. 101, 4, p. 399-438 40 p.

    Research output: Contribution to journalArticle

ID: 250365908