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RadialPheno: A tool for near‐surface phenology analysis through radial layouts
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Zeitschriftentitel: | Applications in Plant Sciences |
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Personen und Körperschaften: | , , , |
In: | Applications in Plant Sciences, 7, 2019, 6 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Wiley
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Schlagwörter: |
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. |
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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 |
doi_str_mv |
10.1002/aps3.1253 |
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Biologie Geographie |
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Applications in Plant Sciences |
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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. |
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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 |