Additional file 1: of Using seasonal landscape models to predict space use and migratory patterns of an arctic ungulate

Partial dependence plots for the top 30 variables in each of the seasonal predictive models for caribou in the Western Arctic Herd. These are model-based simulations that chart the non-linear relationship of the response over the range of each predictor variable while controlling for the other predi...

Full description

Bibliographic Details
Main Authors: A. Baltensperger, K. Joly
Format: Text
Language:unknown
Published: figshare 2019
Subjects:
Genetics
FOS Biological sciences
59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
69999 Biological Sciences not elsewhere classified
80699 Information Systems not elsewhere classified
FOS Computer and information sciences
19999 Mathematical Sciences not elsewhere classified
FOS Mathematics
Developmental Biology
Plant Biology
Arctic
Online Access:https://dx.doi.org/10.6084/m9.figshare.8233757.v1
https://springernature.figshare.com/articles/Additional_file_1_of_Using_seasonal_landscape_models_to_predict_space_use_and_migratory_patterns_of_an_arctic_ungulate/8233757/1
id ftdatacite:10.6084/m9.figshare.8233757.v1
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.8233757.v1 2023-05-15T14:50:44+02:00 Additional file 1: of Using seasonal landscape models to predict space use and migratory patterns of an arctic ungulate A. Baltensperger K. Joly 2019 https://dx.doi.org/10.6084/m9.figshare.8233757.v1 https://springernature.figshare.com/articles/Additional_file_1_of_Using_seasonal_landscape_models_to_predict_space_use_and_migratory_patterns_of_an_arctic_ungulate/8233757/1 unknown figshare https://dx.doi.org/10.1186/s40462-019-0162-8 https://dx.doi.org/10.6084/m9.figshare.8233757 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Genetics FOS Biological sciences 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology 69999 Biological Sciences not elsewhere classified 80699 Information Systems not elsewhere classified FOS Computer and information sciences 19999 Mathematical Sciences not elsewhere classified FOS Mathematics Developmental Biology Plant Biology Text article-journal Journal contribution ScholarlyArticle 2019 ftdatacite https://doi.org/10.6084/m9.figshare.8233757.v1 https://doi.org/10.1186/s40462-019-0162-8 https://doi.org/10.6084/m9.figshare.8233757 2021-11-05T12:55:41Z Partial dependence plots for the top 30 variables in each of the seasonal predictive models for caribou in the Western Arctic Herd. These are model-based simulations that chart the non-linear relationship of the response over the range of each predictor variable while controlling for the other predictors. (DOCX 533 kb) Text Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Genetics
FOS Biological sciences
59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
69999 Biological Sciences not elsewhere classified
80699 Information Systems not elsewhere classified
FOS Computer and information sciences
19999 Mathematical Sciences not elsewhere classified
FOS Mathematics
Developmental Biology
Plant Biology
spellingShingle Genetics
FOS Biological sciences
59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
69999 Biological Sciences not elsewhere classified
80699 Information Systems not elsewhere classified
FOS Computer and information sciences
19999 Mathematical Sciences not elsewhere classified
FOS Mathematics
Developmental Biology
Plant Biology
A. Baltensperger
K. Joly
Additional file 1: of Using seasonal landscape models to predict space use and migratory patterns of an arctic ungulate
topic_facet Genetics
FOS Biological sciences
59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
69999 Biological Sciences not elsewhere classified
80699 Information Systems not elsewhere classified
FOS Computer and information sciences
19999 Mathematical Sciences not elsewhere classified
FOS Mathematics
Developmental Biology
Plant Biology
description Partial dependence plots for the top 30 variables in each of the seasonal predictive models for caribou in the Western Arctic Herd. These are model-based simulations that chart the non-linear relationship of the response over the range of each predictor variable while controlling for the other predictors. (DOCX 533 kb)
format Text
author A. Baltensperger
K. Joly
author_facet A. Baltensperger
K. Joly
author_sort A. Baltensperger
title Additional file 1: of Using seasonal landscape models to predict space use and migratory patterns of an arctic ungulate
title_short Additional file 1: of Using seasonal landscape models to predict space use and migratory patterns of an arctic ungulate
title_full Additional file 1: of Using seasonal landscape models to predict space use and migratory patterns of an arctic ungulate
title_fullStr Additional file 1: of Using seasonal landscape models to predict space use and migratory patterns of an arctic ungulate
title_full_unstemmed Additional file 1: of Using seasonal landscape models to predict space use and migratory patterns of an arctic ungulate
title_sort additional file 1: of using seasonal landscape models to predict space use and migratory patterns of an arctic ungulate
publisher figshare
publishDate 2019
url https://dx.doi.org/10.6084/m9.figshare.8233757.v1
https://springernature.figshare.com/articles/Additional_file_1_of_Using_seasonal_landscape_models_to_predict_space_use_and_migratory_patterns_of_an_arctic_ungulate/8233757/1
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://dx.doi.org/10.1186/s40462-019-0162-8
https://dx.doi.org/10.6084/m9.figshare.8233757
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.8233757.v1
https://doi.org/10.1186/s40462-019-0162-8
https://doi.org/10.6084/m9.figshare.8233757
_version_ 1766321785546997760

Similar Items