eprintid: 10108044 rev_number: 17 eprint_status: archive userid: 608 dir: disk0/10/10/80/44 datestamp: 2020-08-20 12:25:54 lastmod: 2021-11-01 01:49:21 status_changed: 2020-08-20 12:25:54 type: article metadata_visibility: show creators_name: Hulme-Beaman, A creators_name: Rudzinski, A creators_name: Cooper, JEJ creators_name: Lachlan, RF creators_name: Dobney, K creators_name: Thomas, MG title: GEOORIGINS: A new method and r package for trait mapping and geographic provenancing of specimens without categorical constraints ispublished: inpress divisions: UCL divisions: B02 divisions: C08 divisions: D09 divisions: F99 keywords: Biogeography, identification, morphology, phylogeography, provenancing, spatial, mapping, trait, mapping note: © 2020 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. abstract: 1. Biologists often seek to geographically provenance organisms using their traits. This is typically achieved by defining spatial groups using distinct patterns of trait variation. 2. Here, we present a new spatial provenancing and trait boundary identification methodology, based on correlations between geographic and trait distances that require no a priori group assumptions. We apply this to three datasets where spatial provenance is sought: morphological rat and vole dentition data (human commensal translocation datasets); and birdsong data (cultural transmission dataset). We also present the results of cross-validation testing. 3. Spatial provenancing is possible with differing degrees of accuracy for each dataset, with birdsong providing the most accurate geographic origin (identifying an average spatial region of 0.22 km2 as the area of origin with 99.9% confidence). 4. Our method has a wide range of potential applications to diverse data types— including phenotypic, genetic and cultural—to identify trait boundaries and spatially provenance the origin of unknown or translocated specimens where trait differences are geographically structured and correlated with spatial separation. date: 2020-08-09 date_type: published official_url: https://doi.org/10.1111/2041-210X.13444 oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1808149 doi: 10.1111/2041-210X.13444 lyricists_name: Thomas, Mark lyricists_id: MTHOM52 actors_name: Flynn, Bernadette actors_id: BFFLY94 actors_role: owner full_text_status: public publication: Methods in Ecology and Evolution citation: Hulme-Beaman, A; Rudzinski, A; Cooper, JEJ; Lachlan, RF; Dobney, K; Thomas, MG; (2020) GEOORIGINS: A new method and r package for trait mapping and geographic provenancing of specimens without categorical constraints. Methods in Ecology and Evolution 10.1111/2041-210X.13444 <https://doi.org/10.1111/2041-210X.13444>. (In press). Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10108044/1/2041-210X.13444.pdf