author_facet Mariano, Greice C.
Alberton, Bruna
Morellato, Leonor Patrícia C.
Torres, Ricardo da S.
Mariano, Greice C.
Alberton, Bruna
Morellato, Leonor Patrícia C.
Torres, Ricardo da S.
author Mariano, Greice C.
Alberton, Bruna
Morellato, Leonor Patrícia C.
Torres, Ricardo da S.
spellingShingle Mariano, Greice C.
Alberton, Bruna
Morellato, Leonor Patrícia C.
Torres, Ricardo da S.
Applications in Plant Sciences
RadialPheno: A tool for near‐surface phenology analysis through radial layouts
Plant Science
Ecology, Evolution, Behavior and Systematics
author_sort mariano, greice c.
spelling Mariano, Greice C. Alberton, Bruna Morellato, Leonor Patrícia C. Torres, Ricardo da S. 2168-0450 2168-0450 Wiley Plant Science Ecology, Evolution, Behavior and Systematics http://dx.doi.org/10.1002/aps3.1253 <jats:sec><jats:title>Premise</jats:title><jats:p>Increasingly, researchers studying plant phenology are exploring novel technologies to remotely observe plant changes over time. The increasing use of phenocams to monitor leaf phenology, based on the analysis of indices extracted from sequences of daily digital vegetation images, has demanded the development of appropriate tools for data visualization and analysis. Here, we describe RadialPheno, a tool that uses radial layouts to represent time series from digital repeat photographs, and applies them to the analysis of leafing patterns and leaf exchange strategies of different vegetations.</jats:p></jats:sec><jats:sec><jats:title>Methods and Results</jats:title><jats:p>We developed a web tool, RadialPheno, provided with the R and Shiny environments, which uses radial visual structures to represent cyclical multidimensional temporal data associated with digital image time series. We demonstrate the application of our methods and tool for a savanna vegetation phenology in the Brazilian Cerrado. We visually represented the greenness index extracted from sequential imagery using the RadialPheno tool.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>RadialPheno was successfully applied for the visualization and interpretation of individual, species, and community long‐term leafing phenology data associated with near‐surface phenological observations of Cerrado vegetation. RadialPheno was also effective for intercomparisons of ground‐based direct visual observations and camera‐derived phenology observations.</jats:p></jats:sec> RadialPheno: A tool for near‐surface phenology analysis through radial layouts Applications in Plant Sciences
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source_id 49
title RadialPheno: A tool for near‐surface phenology analysis through radial layouts
title_unstemmed RadialPheno: A tool for near‐surface phenology analysis through radial layouts
title_full RadialPheno: A tool for near‐surface phenology analysis through radial layouts
title_fullStr RadialPheno: A tool for near‐surface phenology analysis through radial layouts
title_full_unstemmed RadialPheno: A tool for near‐surface phenology analysis through radial layouts
title_short RadialPheno: A tool for near‐surface phenology analysis through radial layouts
title_sort radialpheno: a tool for near‐surface phenology analysis through radial layouts
topic Plant Science
Ecology, Evolution, Behavior and Systematics
url http://dx.doi.org/10.1002/aps3.1253
publishDate 2019
physical
description <jats:sec><jats:title>Premise</jats:title><jats:p>Increasingly, researchers studying plant phenology are exploring novel technologies to remotely observe plant changes over time. The increasing use of phenocams to monitor leaf phenology, based on the analysis of indices extracted from sequences of daily digital vegetation images, has demanded the development of appropriate tools for data visualization and analysis. Here, we describe RadialPheno, a tool that uses radial layouts to represent time series from digital repeat photographs, and applies them to the analysis of leafing patterns and leaf exchange strategies of different vegetations.</jats:p></jats:sec><jats:sec><jats:title>Methods and Results</jats:title><jats:p>We developed a web tool, RadialPheno, provided with the R and Shiny environments, which uses radial visual structures to represent cyclical multidimensional temporal data associated with digital image time series. We demonstrate the application of our methods and tool for a savanna vegetation phenology in the Brazilian Cerrado. We visually represented the greenness index extracted from sequential imagery using the RadialPheno tool.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>RadialPheno was successfully applied for the visualization and interpretation of individual, species, and community long‐term leafing phenology data associated with near‐surface phenological observations of Cerrado vegetation. RadialPheno was also effective for intercomparisons of ground‐based direct visual observations and camera‐derived phenology observations.</jats:p></jats:sec>
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author Mariano, Greice C., Alberton, Bruna, Morellato, Leonor Patrícia C., Torres, Ricardo da S.
author_facet Mariano, Greice C., Alberton, Bruna, Morellato, Leonor Patrícia C., Torres, Ricardo da S., Mariano, Greice C., Alberton, Bruna, Morellato, Leonor Patrícia C., Torres, Ricardo da S.
author_sort mariano, greice c.
container_issue 6
container_start_page 0
container_title Applications in Plant Sciences
container_volume 7
description <jats:sec><jats:title>Premise</jats:title><jats:p>Increasingly, researchers studying plant phenology are exploring novel technologies to remotely observe plant changes over time. The increasing use of phenocams to monitor leaf phenology, based on the analysis of indices extracted from sequences of daily digital vegetation images, has demanded the development of appropriate tools for data visualization and analysis. Here, we describe RadialPheno, a tool that uses radial layouts to represent time series from digital repeat photographs, and applies them to the analysis of leafing patterns and leaf exchange strategies of different vegetations.</jats:p></jats:sec><jats:sec><jats:title>Methods and Results</jats:title><jats:p>We developed a web tool, RadialPheno, provided with the R and Shiny environments, which uses radial visual structures to represent cyclical multidimensional temporal data associated with digital image time series. We demonstrate the application of our methods and tool for a savanna vegetation phenology in the Brazilian Cerrado. We visually represented the greenness index extracted from sequential imagery using the RadialPheno tool.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>RadialPheno was successfully applied for the visualization and interpretation of individual, species, and community long‐term leafing phenology data associated with near‐surface phenological observations of Cerrado vegetation. RadialPheno was also effective for intercomparisons of ground‐based direct visual observations and camera‐derived phenology observations.</jats:p></jats:sec>
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spelling Mariano, Greice C. Alberton, Bruna Morellato, Leonor Patrícia C. Torres, Ricardo da S. 2168-0450 2168-0450 Wiley Plant Science Ecology, Evolution, Behavior and Systematics http://dx.doi.org/10.1002/aps3.1253 <jats:sec><jats:title>Premise</jats:title><jats:p>Increasingly, researchers studying plant phenology are exploring novel technologies to remotely observe plant changes over time. The increasing use of phenocams to monitor leaf phenology, based on the analysis of indices extracted from sequences of daily digital vegetation images, has demanded the development of appropriate tools for data visualization and analysis. Here, we describe RadialPheno, a tool that uses radial layouts to represent time series from digital repeat photographs, and applies them to the analysis of leafing patterns and leaf exchange strategies of different vegetations.</jats:p></jats:sec><jats:sec><jats:title>Methods and Results</jats:title><jats:p>We developed a web tool, RadialPheno, provided with the R and Shiny environments, which uses radial visual structures to represent cyclical multidimensional temporal data associated with digital image time series. We demonstrate the application of our methods and tool for a savanna vegetation phenology in the Brazilian Cerrado. We visually represented the greenness index extracted from sequential imagery using the RadialPheno tool.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>RadialPheno was successfully applied for the visualization and interpretation of individual, species, and community long‐term leafing phenology data associated with near‐surface phenological observations of Cerrado vegetation. RadialPheno was also effective for intercomparisons of ground‐based direct visual observations and camera‐derived phenology observations.</jats:p></jats:sec> RadialPheno: A tool for near‐surface phenology analysis through radial layouts Applications in Plant Sciences
spellingShingle Mariano, Greice C., Alberton, Bruna, Morellato, Leonor Patrícia C., Torres, Ricardo da S., Applications in Plant Sciences, RadialPheno: A tool for near‐surface phenology analysis through radial layouts, Plant Science, Ecology, Evolution, Behavior and Systematics
title RadialPheno: A tool for near‐surface phenology analysis through radial layouts
title_full RadialPheno: A tool for near‐surface phenology analysis through radial layouts
title_fullStr RadialPheno: A tool for near‐surface phenology analysis through radial layouts
title_full_unstemmed RadialPheno: A tool for near‐surface phenology analysis through radial layouts
title_short RadialPheno: A tool for near‐surface phenology analysis through radial layouts
title_sort radialpheno: a tool for near‐surface phenology analysis through radial layouts
title_unstemmed RadialPheno: A tool for near‐surface phenology analysis through radial layouts
topic Plant Science, Ecology, Evolution, Behavior and Systematics
url http://dx.doi.org/10.1002/aps3.1253