geomorph v4.0 and gmShiny: Enhanced analytics and a new graphical interface for a comprehensive morphometric experience
Geometric morphometric (GM) tools are essential for meaningfully quantifying and understanding patterns of variation in complex traits like shape. In this field, the breadth of answerable questions has grown dramatically in recent years through the development of new analyses and increased computati...
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| Veröffentlicht in: | Methods in ecology and evolution 2021-12, Vol.12 (12), p.2355-2363 |
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| container_title | Methods in ecology and evolution |
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| creator | Baken, Erica K. Collyer, Michael L. Kaliontzopoulou, Antigoni Adams, Dean C. |
| description | Geometric morphometric (GM) tools are essential for meaningfully quantifying and understanding patterns of variation in complex traits like shape. In this field, the breadth of answerable questions has grown dramatically in recent years through the development of new analyses and increased computational efficiency.
In this note, we describe the ways in which geomorph, a widely used R package for quantifying and analysing GM data, has grown with the field.
We present geomorph v4.0 and describe the ways in which this version has dramatically improved upon previous versions. We also present a new graphical user interface for easy implementation, gmShiny.
These contributions position geomorph to be the primary tool for GM analyses, particularly those employing a phylogenetic comparative approach. |
| doi_str_mv | 10.1111/2041-210X.13723 |
| format | Article |
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In this note, we describe the ways in which geomorph, a widely used R package for quantifying and analysing GM data, has grown with the field.
We present geomorph v4.0 and describe the ways in which this version has dramatically improved upon previous versions. We also present a new graphical user interface for easy implementation, gmShiny.
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In this note, we describe the ways in which geomorph, a widely used R package for quantifying and analysing GM data, has grown with the field.
We present geomorph v4.0 and describe the ways in which this version has dramatically improved upon previous versions. We also present a new graphical user interface for easy implementation, gmShiny.
These contributions position geomorph to be the primary tool for GM analyses, particularly those employing a phylogenetic comparative approach.</description><subject>Computer applications</subject><subject>generalized Procrustes analysis</subject><subject>geometric morphometrics</subject><subject>geomorph</subject><subject>Geomorphology</subject><subject>Graphical user interface</subject><subject>Phylogeny</subject><subject>shiny</subject><issn>2041-210X</issn><issn>2041-210X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkEtLQzEQhYMoWGrXbgOub5vHfSTupNQHVFyo4C7kppPelPsy6cP-e9NWxJ2zmWHmnAPzIXRNyZjGmjCS0oRR8jGmvGD8DA1-N-d_5ks0CmFFYnEhCUsHaLeErul8X-FtOiZYtwu8bF4r1-5v8aytdGtgEbe63q-dCce7xi3s8NLrvnJG19i1a_BWG8C28_Fquqb3UEEb3BbwMbxrYO2dwfDVg3cQQ6_QhdV1gNFPH6L3-9nb9DGZvzw8Te_miUlzyZNc2BKAEssJtyWx0ohcZEJmpYRU5oJqW1BdcikzzguRW6mZhkiAaWGLMudDdHPK7X33uYGwVqtu4-M_QbGcZIQxwdOompxUxncheLCq967Rfq8oUQfA6oBQHRCqI-DoyE-Onath_59cPc9m_GT8Bp4vfYQ</recordid><startdate>202112</startdate><enddate>202112</enddate><creator>Baken, Erica K.</creator><creator>Collyer, Michael L.</creator><creator>Kaliontzopoulou, Antigoni</creator><creator>Adams, Dean C.</creator><general>John Wiley & Sons, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7SN</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><orcidid>https://orcid.org/0000-0003-2972-7900</orcidid><orcidid>https://orcid.org/0000-0003-0238-2201</orcidid><orcidid>https://orcid.org/0000-0001-9172-7894</orcidid></search><sort><creationdate>202112</creationdate><title>geomorph v4.0 and gmShiny: Enhanced analytics and a new graphical interface for a comprehensive morphometric experience</title><author>Baken, Erica K. ; Collyer, Michael L. ; Kaliontzopoulou, Antigoni ; Adams, Dean C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4693-68fbee10f303fb0f9c8685895b9e49681af71ab399533786f9a2ae7232a8f7b63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Computer applications</topic><topic>generalized Procrustes analysis</topic><topic>geometric morphometrics</topic><topic>geomorph</topic><topic>Geomorphology</topic><topic>Graphical user interface</topic><topic>Phylogeny</topic><topic>shiny</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baken, Erica K.</creatorcontrib><creatorcontrib>Collyer, Michael L.</creatorcontrib><creatorcontrib>Kaliontzopoulou, Antigoni</creatorcontrib><creatorcontrib>Adams, Dean C.</creatorcontrib><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>Methods in ecology and evolution</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baken, Erica K.</au><au>Collyer, Michael L.</au><au>Kaliontzopoulou, Antigoni</au><au>Adams, Dean C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>geomorph v4.0 and gmShiny: Enhanced analytics and a new graphical interface for a comprehensive morphometric experience</atitle><jtitle>Methods in ecology and evolution</jtitle><date>2021-12</date><risdate>2021</risdate><volume>12</volume><issue>12</issue><spage>2355</spage><epage>2363</epage><pages>2355-2363</pages><issn>2041-210X</issn><eissn>2041-210X</eissn><abstract>Geometric morphometric (GM) tools are essential for meaningfully quantifying and understanding patterns of variation in complex traits like shape. In this field, the breadth of answerable questions has grown dramatically in recent years through the development of new analyses and increased computational efficiency.
In this note, we describe the ways in which geomorph, a widely used R package for quantifying and analysing GM data, has grown with the field.
We present geomorph v4.0 and describe the ways in which this version has dramatically improved upon previous versions. We also present a new graphical user interface for easy implementation, gmShiny.
These contributions position geomorph to be the primary tool for GM analyses, particularly those employing a phylogenetic comparative approach.</abstract><cop>London</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1111/2041-210X.13723</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-2972-7900</orcidid><orcidid>https://orcid.org/0000-0003-0238-2201</orcidid><orcidid>https://orcid.org/0000-0001-9172-7894</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Methods in ecology and evolution, 2021-12, Vol.12 (12), p.2355-2363 |
| issn | 2041-210X 2041-210X |
| language | eng |
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| source | Wiley Online Library All Journals; Alma/SFX Local Collection |
| subjects | Computer applications generalized Procrustes analysis geometric morphometrics geomorph Geomorphology Graphical user interface Phylogeny shiny |
| title | geomorph v4.0 and gmShiny: Enhanced analytics and a new graphical interface for a comprehensive morphometric experience |
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