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Comparison of discriminant function and classification tree analyses for age classification of marmots
We evaluated the predictive power of two classification techniques, one parametric - discriminant function analysis (DFA) and the other non-parametric - classification and regression tree analysis (CART), in order to provide a non-subjective quantitative method of determining age class in Vancouver...
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Published in: | Oikos 2004-06, Vol.105 (3), p.575-587 |
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description | We evaluated the predictive power of two classification techniques, one parametric - discriminant function analysis (DFA) and the other non-parametric - classification and regression tree analysis (CART), in order to provide a non-subjective quantitative method of determining age class in Vancouver Island marmots (Marmota vancouverensis) and hoary marmots (Marmota caligata). For both techniques we used morphological measurements of known-age male and female marmots from two independent population studies to build and test predictive models of age class. Both techniques had high predictive power (69-86%) for both sexes and both species. Overall, the two methods performed identically with 81% correct classification. DFA was marginally better at discriminating among older more challenging age classes compared to CART. However, in our test samples, cases with missing values in any of the discriminant variables were deleted and hence unclassified by DFA, whereas CART used values from closely correlated variables to substitute for the missing values. Therefore, overall, CART performed better (CART 81% vs DFA 76%) because of its ability to classify incomplete cases. Correct classification rates were approximately 10% higher for hoary marmots than for Vancouver Island marmots, a result that could be attributed to different sets of morphological measurements. Zygomatic arch breadth measured in hoary marmots was the most important predictor of age class in both sexes using both classification techniques. We recommend that CART analysis be performed on data-sets with incomplete records and used as a variable screening tool prior to DFA on more complete data-sets. |
doi_str_mv | 10.1111/j.0030-1299.2004.12732.x |
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For both techniques we used morphological measurements of known-age male and female marmots from two independent population studies to build and test predictive models of age class. Both techniques had high predictive power (69-86%) for both sexes and both species. Overall, the two methods performed identically with 81% correct classification. DFA was marginally better at discriminating among older more challenging age classes compared to CART. However, in our test samples, cases with missing values in any of the discriminant variables were deleted and hence unclassified by DFA, whereas CART used values from closely correlated variables to substitute for the missing values. Therefore, overall, CART performed better (CART 81% vs DFA 76%) because of its ability to classify incomplete cases. Correct classification rates were approximately 10% higher for hoary marmots than for Vancouver Island marmots, a result that could be attributed to different sets of morphological measurements. Zygomatic arch breadth measured in hoary marmots was the most important predictor of age class in both sexes using both classification techniques. We recommend that CART analysis be performed on data-sets with incomplete records and used as a variable screening tool prior to DFA on more complete data-sets.</description><identifier>ISSN: 0030-1299</identifier><identifier>EISSN: 1600-0706</identifier><identifier>DOI: 10.1111/j.0030-1299.2004.12732.x</identifier><identifier>CODEN: OIKSAA</identifier><language>eng</language><publisher>Copenhagen: Munksgaard International Publishers</publisher><subject>Age ; Age structure ; Animal, plant and microbial ecology ; Animals ; Biological and medical sciences ; Carts ; Discriminants ; Female animals ; Forearm ; Fundamental and applied biological sciences. Psychology ; Gender discrimination ; General aspects. Techniques ; Male animals ; Mammalia ; Marmota caligata ; Marmota vancouverensis ; Marmots ; Methods and techniques (sampling, tagging, trapping, modelling...) ; Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution</subject><ispartof>Oikos, 2004-06, Vol.105 (3), p.575-587</ispartof><rights>Copyright 2004 Oikos</rights><rights>2004 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4322-3a538da189e3df2b0be5745086d12cc82802eeabda3514ac7c5b342a6eeedf6c3</citedby><cites>FETCH-LOGICAL-c4322-3a538da189e3df2b0be5745086d12cc82802eeabda3514ac7c5b342a6eeedf6c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/3548292$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/3548292$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,58238,58471</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15805207$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Karels, Tim J.</creatorcontrib><creatorcontrib>Bryant, Andrew A.</creatorcontrib><creatorcontrib>Hik, David S.</creatorcontrib><title>Comparison of discriminant function and classification tree analyses for age classification of marmots</title><title>Oikos</title><addtitle>Oikos</addtitle><description>We evaluated the predictive power of two classification techniques, one parametric - discriminant function analysis (DFA) and the other non-parametric - classification and regression tree analysis (CART), in order to provide a non-subjective quantitative method of determining age class in Vancouver Island marmots (Marmota vancouverensis) and hoary marmots (Marmota caligata). For both techniques we used morphological measurements of known-age male and female marmots from two independent population studies to build and test predictive models of age class. Both techniques had high predictive power (69-86%) for both sexes and both species. Overall, the two methods performed identically with 81% correct classification. DFA was marginally better at discriminating among older more challenging age classes compared to CART. However, in our test samples, cases with missing values in any of the discriminant variables were deleted and hence unclassified by DFA, whereas CART used values from closely correlated variables to substitute for the missing values. Therefore, overall, CART performed better (CART 81% vs DFA 76%) because of its ability to classify incomplete cases. Correct classification rates were approximately 10% higher for hoary marmots than for Vancouver Island marmots, a result that could be attributed to different sets of morphological measurements. Zygomatic arch breadth measured in hoary marmots was the most important predictor of age class in both sexes using both classification techniques. We recommend that CART analysis be performed on data-sets with incomplete records and used as a variable screening tool prior to DFA on more complete data-sets.</description><subject>Age</subject><subject>Age structure</subject><subject>Animal, plant and microbial ecology</subject><subject>Animals</subject><subject>Biological and medical sciences</subject><subject>Carts</subject><subject>Discriminants</subject><subject>Female animals</subject><subject>Forearm</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gender discrimination</subject><subject>General aspects. Techniques</subject><subject>Male animals</subject><subject>Mammalia</subject><subject>Marmota caligata</subject><subject>Marmota vancouverensis</subject><subject>Marmots</subject><subject>Methods and techniques (sampling, tagging, trapping, modelling...)</subject><subject>Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution</subject><issn>0030-1299</issn><issn>1600-0706</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNqNkEFv1DAQhS1EJZbCP-CQC9wSxnYcJxckWLWl6or2UKjExZp1bOQliRc7K3b_Pc6mWqSeOheP5r35rHmEZBQKmurjpgDgkFPWNAUDKAvKJGfF_gVZ0AogBwnVS7I4mV6R1zFuAEBKWS6IXfp-i8FFP2TeZq2LOrjeDTiMmd0NenRJwKHNdIcxOus0HkdjMCbNsTtEEzPrQ4a_zFNTAvYYej_GN-TMYhfN28f3nHy_vLhffs1Xt1fXy8-rXJecsZyj4HWLtG4Mby1bw9oIWQqoq5YyrWtWAzMG1y1yQUvUUos1LxlWxpjWVpqfkw8zdxv8n52Jo-rTRabrcDB-FxWVgvKSN8lYz0YdfIzBWLVNd2M4KApqClZt1JSZmjJTU7DqGKzap9X3j39g1NjZgIN28f--qEEwkMn3afb9dZ05PJuvbq9vjm0CvJsBmzj6cAJwUdasmeR8ll0czf4kY_itKsmlUA_frtTPL5f8bgU_1AP_By7bpuM</recordid><startdate>200406</startdate><enddate>200406</enddate><creator>Karels, Tim J.</creator><creator>Bryant, Andrew A.</creator><creator>Hik, David S.</creator><general>Munksgaard International Publishers</general><general>Blackwell Publishers</general><general>Blackwell</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>C1K</scope></search><sort><creationdate>200406</creationdate><title>Comparison of discriminant function and classification tree analyses for age classification of marmots</title><author>Karels, Tim J. ; Bryant, Andrew A. ; Hik, David S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4322-3a538da189e3df2b0be5745086d12cc82802eeabda3514ac7c5b342a6eeedf6c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Age</topic><topic>Age structure</topic><topic>Animal, plant and microbial ecology</topic><topic>Animals</topic><topic>Biological and medical sciences</topic><topic>Carts</topic><topic>Discriminants</topic><topic>Female animals</topic><topic>Forearm</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gender discrimination</topic><topic>General aspects. Techniques</topic><topic>Male animals</topic><topic>Mammalia</topic><topic>Marmota caligata</topic><topic>Marmota vancouverensis</topic><topic>Marmots</topic><topic>Methods and techniques (sampling, tagging, trapping, modelling...)</topic><topic>Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Karels, Tim J.</creatorcontrib><creatorcontrib>Bryant, Andrew A.</creatorcontrib><creatorcontrib>Hik, David S.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Oikos</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Karels, Tim J.</au><au>Bryant, Andrew A.</au><au>Hik, David S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of discriminant function and classification tree analyses for age classification of marmots</atitle><jtitle>Oikos</jtitle><addtitle>Oikos</addtitle><date>2004-06</date><risdate>2004</risdate><volume>105</volume><issue>3</issue><spage>575</spage><epage>587</epage><pages>575-587</pages><issn>0030-1299</issn><eissn>1600-0706</eissn><coden>OIKSAA</coden><abstract>We evaluated the predictive power of two classification techniques, one parametric - discriminant function analysis (DFA) and the other non-parametric - classification and regression tree analysis (CART), in order to provide a non-subjective quantitative method of determining age class in Vancouver Island marmots (Marmota vancouverensis) and hoary marmots (Marmota caligata). For both techniques we used morphological measurements of known-age male and female marmots from two independent population studies to build and test predictive models of age class. Both techniques had high predictive power (69-86%) for both sexes and both species. Overall, the two methods performed identically with 81% correct classification. DFA was marginally better at discriminating among older more challenging age classes compared to CART. However, in our test samples, cases with missing values in any of the discriminant variables were deleted and hence unclassified by DFA, whereas CART used values from closely correlated variables to substitute for the missing values. Therefore, overall, CART performed better (CART 81% vs DFA 76%) because of its ability to classify incomplete cases. Correct classification rates were approximately 10% higher for hoary marmots than for Vancouver Island marmots, a result that could be attributed to different sets of morphological measurements. Zygomatic arch breadth measured in hoary marmots was the most important predictor of age class in both sexes using both classification techniques. We recommend that CART analysis be performed on data-sets with incomplete records and used as a variable screening tool prior to DFA on more complete data-sets.</abstract><cop>Copenhagen</cop><pub>Munksgaard International Publishers</pub><doi>10.1111/j.0030-1299.2004.12732.x</doi><tpages>13</tpages></addata></record> |
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subjects | Age Age structure Animal, plant and microbial ecology Animals Biological and medical sciences Carts Discriminants Female animals Forearm Fundamental and applied biological sciences. Psychology Gender discrimination General aspects. Techniques Male animals Mammalia Marmota caligata Marmota vancouverensis Marmots Methods and techniques (sampling, tagging, trapping, modelling...) Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution |
title | Comparison of discriminant function and classification tree analyses for age classification of marmots |
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