Data visualization in yield component analysis: an expert study
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Scientia Agrícola (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162017000200118 |
Resumo: | ABSTRACT Even though data visualization is a common analytical tool in numerous disciplines, it has rarely been used in agricultural sciences, particularly in agronomy. In this paper, we discuss a study on employing data visualization to analyze a multiplicative model. This model is often used by agronomists, for example in the so-called yield component analysis. The multiplicative model in agronomy is normally analyzed by statistical or related methods. In practice, unfortunately, usefulness of these methods is limited since they help to answer only a few questions, not allowing for a complex view of the phenomena studied. We believe that data visualization could be used for such complex analysis and presentation of the multiplicative model. To that end, we conducted an expert survey. It showed that visualization methods could indeed be useful for analysis and presentation of the multiplicative model. |
id |
USP-18_5bfbe97f3afaecb0c76346d548b980c5 |
---|---|
oai_identifier_str |
oai:scielo:S0103-90162017000200118 |
network_acronym_str |
USP-18 |
network_name_str |
Scientia Agrícola (Online) |
repository_id_str |
|
spelling |
Data visualization in yield component analysis: an expert studymultiplicative modelcomplex traitgraphical methodsABSTRACT Even though data visualization is a common analytical tool in numerous disciplines, it has rarely been used in agricultural sciences, particularly in agronomy. In this paper, we discuss a study on employing data visualization to analyze a multiplicative model. This model is often used by agronomists, for example in the so-called yield component analysis. The multiplicative model in agronomy is normally analyzed by statistical or related methods. In practice, unfortunately, usefulness of these methods is limited since they help to answer only a few questions, not allowing for a complex view of the phenomena studied. We believe that data visualization could be used for such complex analysis and presentation of the multiplicative model. To that end, we conducted an expert survey. It showed that visualization methods could indeed be useful for analysis and presentation of the multiplicative model.Escola Superior de Agricultura "Luiz de Queiroz"2017-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162017000200118Scientia Agricola v.74 n.2 2017reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/1678-992x-2015-0449info:eu-repo/semantics/openAccessWnuk,AgnieszkaGozdowski,DariuszGórny,AndrzejWyszyński,ZdzisławKozak,Marcineng2017-03-07T00:00:00Zoai:scielo:S0103-90162017000200118Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2017-03-07T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Data visualization in yield component analysis: an expert study |
title |
Data visualization in yield component analysis: an expert study |
spellingShingle |
Data visualization in yield component analysis: an expert study Wnuk,Agnieszka multiplicative model complex trait graphical methods |
title_short |
Data visualization in yield component analysis: an expert study |
title_full |
Data visualization in yield component analysis: an expert study |
title_fullStr |
Data visualization in yield component analysis: an expert study |
title_full_unstemmed |
Data visualization in yield component analysis: an expert study |
title_sort |
Data visualization in yield component analysis: an expert study |
author |
Wnuk,Agnieszka |
author_facet |
Wnuk,Agnieszka Gozdowski,Dariusz Górny,Andrzej Wyszyński,Zdzisław Kozak,Marcin |
author_role |
author |
author2 |
Gozdowski,Dariusz Górny,Andrzej Wyszyński,Zdzisław Kozak,Marcin |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Wnuk,Agnieszka Gozdowski,Dariusz Górny,Andrzej Wyszyński,Zdzisław Kozak,Marcin |
dc.subject.por.fl_str_mv |
multiplicative model complex trait graphical methods |
topic |
multiplicative model complex trait graphical methods |
description |
ABSTRACT Even though data visualization is a common analytical tool in numerous disciplines, it has rarely been used in agricultural sciences, particularly in agronomy. In this paper, we discuss a study on employing data visualization to analyze a multiplicative model. This model is often used by agronomists, for example in the so-called yield component analysis. The multiplicative model in agronomy is normally analyzed by statistical or related methods. In practice, unfortunately, usefulness of these methods is limited since they help to answer only a few questions, not allowing for a complex view of the phenomena studied. We believe that data visualization could be used for such complex analysis and presentation of the multiplicative model. To that end, we conducted an expert survey. It showed that visualization methods could indeed be useful for analysis and presentation of the multiplicative model. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162017000200118 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162017000200118 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-992x-2015-0449 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Escola Superior de Agricultura "Luiz de Queiroz" |
publisher.none.fl_str_mv |
Escola Superior de Agricultura "Luiz de Queiroz" |
dc.source.none.fl_str_mv |
Scientia Agricola v.74 n.2 2017 reponame:Scientia Agrícola (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Scientia Agrícola (Online) |
collection |
Scientia Agrícola (Online) |
repository.name.fl_str_mv |
Scientia Agrícola (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
scientia@usp.br||alleoni@usp.br |
_version_ |
1748936464283992064 |