A new index for measuring perpendicularity of animal movements in relation to patch boundaries
We introduce a new index for measuring perpendicularity of animal movements with respect to a boundary (e.g., a habitat patch edge), and provide a computer algorithm for its calculation. Our index, η, improves on an approach that measures perpendicularity with respect to a fixed boundary direction....
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Veröffentlicht in: | Ecological modelling 2010-08, Vol.221 (17), p.2003-2007 |
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container_end_page | 2007 |
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container_issue | 17 |
container_start_page | 2003 |
container_title | Ecological modelling |
container_volume | 221 |
creator | Aho, Ken A. Long, Ryan A. Kie, John G. Bowyer, R. Terry |
description | We introduce a new index for measuring perpendicularity of animal movements with respect to a boundary (e.g., a habitat patch edge), and provide a computer algorithm for its calculation. Our index,
η, improves on an approach that measures perpendicularity with respect to a fixed boundary direction. This is because
η accounts for moment-to-moment trajectories relative to nearest-neighbor boundary attributes at the scale of an animal's movement. Our algorithm
prp calculates
η efficiently and accurately with both synthetic data and large telemetry datasets. In addition, we have included routines in
prp which account for scenarios inherently problematic to perpendicularity estimators. |
doi_str_mv | 10.1016/j.ecolmodel.2010.06.006 |
format | Article |
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η, improves on an approach that measures perpendicularity with respect to a fixed boundary direction. This is because
η accounts for moment-to-moment trajectories relative to nearest-neighbor boundary attributes at the scale of an animal's movement. Our algorithm
prp calculates
η efficiently and accurately with both synthetic data and large telemetry datasets. In addition, we have included routines in
prp which account for scenarios inherently problematic to perpendicularity estimators.</description><identifier>ISSN: 0304-3800</identifier><identifier>EISSN: 1872-7026</identifier><identifier>DOI: 10.1016/j.ecolmodel.2010.06.006</identifier><identifier>CODEN: ECMODT</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Animal movement ; Animal, plant and microbial ecology ; Biological and medical sciences ; Fundamental and applied biological sciences. Psychology ; General aspects. Techniques ; Methods and techniques (sampling, tagging, trapping, modelling...) ; Patch ; Perpendicularity</subject><ispartof>Ecological modelling, 2010-08, Vol.221 (17), p.2003-2007</ispartof><rights>2010 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c377t-63f13601df23322b5765117c2b659a3701cb7b1f5084cb2f87be91b33d6204ca3</citedby><cites>FETCH-LOGICAL-c377t-63f13601df23322b5765117c2b659a3701cb7b1f5084cb2f87be91b33d6204ca3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0304380010002735$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23040848$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Aho, Ken A.</creatorcontrib><creatorcontrib>Long, Ryan A.</creatorcontrib><creatorcontrib>Kie, John G.</creatorcontrib><creatorcontrib>Bowyer, R. Terry</creatorcontrib><title>A new index for measuring perpendicularity of animal movements in relation to patch boundaries</title><title>Ecological modelling</title><description>We introduce a new index for measuring perpendicularity of animal movements with respect to a boundary (e.g., a habitat patch edge), and provide a computer algorithm for its calculation. Our index,
η, improves on an approach that measures perpendicularity with respect to a fixed boundary direction. This is because
η accounts for moment-to-moment trajectories relative to nearest-neighbor boundary attributes at the scale of an animal's movement. Our algorithm
prp calculates
η efficiently and accurately with both synthetic data and large telemetry datasets. In addition, we have included routines in
prp which account for scenarios inherently problematic to perpendicularity estimators.</description><subject>Animal movement</subject><subject>Animal, plant and microbial ecology</subject><subject>Biological and medical sciences</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects. Techniques</subject><subject>Methods and techniques (sampling, tagging, trapping, modelling...)</subject><subject>Patch</subject><subject>Perpendicularity</subject><issn>0304-3800</issn><issn>1872-7026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkEFP3DAQha2KSl1ofwO-VJyyjO2NnT2uVoVWQuqlXLEcZ9x65djBTij8e4x2xZXTSKP35s37CLlksGbA5PVhjTaFMQ0Y1hzqFuQaQH4iK9Yp3ijg8oysQMCmER3AF3JeygEAGO_4ijzsaMT_1McBn6lLmY5oypJ9_EsnzBPGwdslmOznF5ocNdGPJtAxPeGIcS7VSDMGM_sU6ZzoZGb7j_ZpiUP1YPlKPjsTCn47zQtyf_Pjz_5nc_f79td-d9dYodTcSOGYkMAGx4XgvG-VbBlTlvey3RqhgNle9cy10G1sz12netyyXohBcthYIy7I1fHulNPjgmXWoy8WQzAR01K0areCQafaqlRHpc2plIxOT7l2yi-agX4Dqg_6Hah-A6pB6gq0Or-fMkyxJrhsovXl3c4r4fpeV3W7ow5r4SePWRfrMVocfEY76yH5D7NeAZdHkIk</recordid><startdate>20100824</startdate><enddate>20100824</enddate><creator>Aho, Ken A.</creator><creator>Long, Ryan A.</creator><creator>Kie, John G.</creator><creator>Bowyer, R. Terry</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><scope>SOI</scope></search><sort><creationdate>20100824</creationdate><title>A new index for measuring perpendicularity of animal movements in relation to patch boundaries</title><author>Aho, Ken A. ; Long, Ryan A. ; Kie, John G. ; Bowyer, R. Terry</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c377t-63f13601df23322b5765117c2b659a3701cb7b1f5084cb2f87be91b33d6204ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Animal movement</topic><topic>Animal, plant and microbial ecology</topic><topic>Biological and medical sciences</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects. Techniques</topic><topic>Methods and techniques (sampling, tagging, trapping, modelling...)</topic><topic>Patch</topic><topic>Perpendicularity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aho, Ken A.</creatorcontrib><creatorcontrib>Long, Ryan A.</creatorcontrib><creatorcontrib>Kie, John G.</creatorcontrib><creatorcontrib>Bowyer, R. Terry</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>Ecological modelling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aho, Ken A.</au><au>Long, Ryan A.</au><au>Kie, John G.</au><au>Bowyer, R. Terry</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new index for measuring perpendicularity of animal movements in relation to patch boundaries</atitle><jtitle>Ecological modelling</jtitle><date>2010-08-24</date><risdate>2010</risdate><volume>221</volume><issue>17</issue><spage>2003</spage><epage>2007</epage><pages>2003-2007</pages><issn>0304-3800</issn><eissn>1872-7026</eissn><coden>ECMODT</coden><abstract>We introduce a new index for measuring perpendicularity of animal movements with respect to a boundary (e.g., a habitat patch edge), and provide a computer algorithm for its calculation. Our index,
η, improves on an approach that measures perpendicularity with respect to a fixed boundary direction. This is because
η accounts for moment-to-moment trajectories relative to nearest-neighbor boundary attributes at the scale of an animal's movement. Our algorithm
prp calculates
η efficiently and accurately with both synthetic data and large telemetry datasets. In addition, we have included routines in
prp which account for scenarios inherently problematic to perpendicularity estimators.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.ecolmodel.2010.06.006</doi><tpages>5</tpages></addata></record> |
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source | Elsevier ScienceDirect Journals |
subjects | Animal movement Animal, plant and microbial ecology Biological and medical sciences Fundamental and applied biological sciences. Psychology General aspects. Techniques Methods and techniques (sampling, tagging, trapping, modelling...) Patch Perpendicularity |
title | A new index for measuring perpendicularity of animal movements in relation to patch boundaries |
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