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PointedSDMs: An R package to help facilitate the construction of integrated species distribution models.

Authors :
Mostert, Philip S.
O'Hara, Robert B.
Source :
Methods in Ecology & Evolution; May2023, Vol. 14 Issue 5, p1200-1207, 8p
Publication Year :
2023

Abstract

Ecological data are being collected at a large scale from a multitude of different sources, each with their own sampling protocols and assumptions. As a result, the integration of disparate datasets is a rapidly growing area in quantitative ecology, and is subsequently becoming a major asset in understanding the shifts and trends in species' distributions.However, the tools and software available to construct statistical models to integrate these disparate datasets into a unified framework is lacking. This has made these methods inaccessible to general practitioners and has stagnated the growth of data integration in more applied settings.We therefore present PointedSDMs: an easy to use R package used to construct integrated species distribution models. It provides functions to easily format the data, fit the models in a computationally efficient way and presents the output in a format that is convenient for additional work.This paper illustrates the different uses and functions available in the package, which are designed to simplify the modelling of integrated models. A case study using the package is also presented: combining three datasets coming from different sampling protocols, all containing records of Setophaga caerulescens across Pennsylvania state. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2041210X
Volume :
14
Issue :
5
Database :
Complementary Index
Journal :
Methods in Ecology & Evolution
Publication Type :
Academic Journal
Accession number :
163488017
Full Text :
https://doi.org/10.1111/2041-210X.14091