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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
07/01/2019 |
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Data da última atualização: |
07/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
VIEIRA, A. P. S. B.; JOÃO, R. S.; ROMANI, L. A. S.; RIBEIRO, M. X. |
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Afiliação: |
A. P. S. BRAATZ VIEIRA, UFSCar; RAFAEL S. JOÃO, UFSCar; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; MARCELA X. RIBEIRO, UFSCar. |
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Título: |
The ST-Vis tool for spatio temporal visualization. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, 15., 2018. Information technology- new generations: proceedings. New York: Springer Science; Business Media, 2018. |
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Páginas: |
p. 577-587. |
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Série: |
(Advances in intelligent systems and computing, 715). |
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Idioma: |
Inglês |
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Conteúdo: |
Analyzing and understanding spatial data that vary over time is a complex task. Usually, the data is arranged in a tabular or text forms. We develop the ST-Vis (SpatioTemporal Visualization) tool to provide a visual representation of spatiotemporal data, which must help users to understand a temporal variation in a region when combining the parallel coordinates graph with a geographic map, a temporal texture, and a table. The temporal texture maps the linear form of the variation of the Normalized Difference Vegetation Index (NDVI), resulting in a representation of colors texture, and each texture cell refers to a period. ST-Vis provides a simultaneous spatiotemporal representation of data, and the visualizations interact with each other through animations. We evaluated ST-Vis by interviewing some domain experts, computer science, and other field students, who experienced ST-Vis tool. The results show that ST-Vis allows the understanding of spatiotemporal data through the generated visualizations. This tool simultaneously displays visualizations, which have interactions with each other through animations. |
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Thesaurus Nal: |
Spatial data. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01793nam a2200181 a 4500
001 2103141
005 2020-01-07
008 2018 bl uuuu u00u1 u #d
100 1 $aVIEIRA, A. P. S. B.
245 $aThe ST-Vis tool for spatio temporal visualization.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, 15., 2018. Information technology- new generations: proceedings. New York: Springer Science; Business Media$c2018
300 $ap. 577-587.
490 $a(Advances in intelligent systems and computing, 715).
520 $aAnalyzing and understanding spatial data that vary over time is a complex task. Usually, the data is arranged in a tabular or text forms. We develop the ST-Vis (SpatioTemporal Visualization) tool to provide a visual representation of spatiotemporal data, which must help users to understand a temporal variation in a region when combining the parallel coordinates graph with a geographic map, a temporal texture, and a table. The temporal texture maps the linear form of the variation of the Normalized Difference Vegetation Index (NDVI), resulting in a representation of colors texture, and each texture cell refers to a period. ST-Vis provides a simultaneous spatiotemporal representation of data, and the visualizations interact with each other through animations. We evaluated ST-Vis by interviewing some domain experts, computer science, and other field students, who experienced ST-Vis tool. The results show that ST-Vis allows the understanding of spatiotemporal data through the generated visualizations. This tool simultaneously displays visualizations, which have interactions with each other through animations.
650 $aSpatial data
700 1 $aJOÃO, R. S.
700 1 $aROMANI, L. A. S.
700 1 $aRIBEIRO, M. X.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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| Registros recuperados : 7 | |
| 3. |  | ROMANI, L. A. S.; TRAINA, A. J. M.; RIBEIRO, M. X.; SOUSA, E. P. M. de; ZULLO JUNIOR, J.; TRAINA JUNIOR, C. Aplicação de técnicas de mineração em dados climáticos e de satélite para auxiliar no acompanhamento das safras de cana-de-acúcar. In: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS, 23.; SIMPÓSIO BRASILEIRO DE ENGENHARIA DE SOFTWARE, 22.; WORKSHOP EM ALGORITMOS E APLICAÇÕES DE MINERAÇÃO DE DADOS, 4., 2008, Campinas. Anais... Campinas: UNICAMP, Instituto de Computação, 2008. p. 87-92.| Tipo: Artigo em Anais de Congresso / Nota Técnica |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 4. | | ROMANI, L. A. S.; SOUSA, E. P. M. de; RIBEIRO, M. X.; ZULLO JÚNIOR. J.; TRAINA JÚNIOR, C.; TRAINA, A. J. M. Employing fractal dimension to analyze climate and remote sensing data streams. In: SIAM INTERNATIONAL CONFERENCE ON DATA MINING, 9., 2009, Sparks. Proceedings... Society for Industrial and Applied Mathematics, Philadelphia, 2009. Não paginado. SDM 2009.| Tipo: Artigo em Anais de Congresso / Nota Técnica |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 5. | | ROMANI, L. A. S.; SOUSA, E. P. M. de; RIBEIRO, M. X.; ÁVILA, A. M. H. de; ZULLO JÚNIOR, J.; TRAINA JÚNIOR, C.; TRAINA, A. J. M. Mining climate and remote sensing time series to improve monitoring of sugar cane fields. In: PRADO, H. A. do; LUIZ, A. J. B.; CHAIB FILHO, H. Computational Methods for Agricultural Research: Advances and Applications. Hershey: Information Science Reference, 2011. chap. 4, p. 50-72.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 6. | | CANO, M. D.; SANTOS, M. T. P.; AVILA, A. M. H. de; ROMANI, L. A. S.; TRAINA, A. J. M.; RIBEIRO, M. X. SART: a new association rule method for mining sequential patterns in time series of climate data. In: INTERNATIONAL CONFERENCE, 12., 2012, Salvador de Bahia. Computational science and its applications: proceedings. Berlin: Springer, 2012. p. 743-757. (Lecture notes in computer science, 7335). Part III. ICCSA 2012. Editores: Beniamino Murgante, Osvaldo Gervasi, Sanjay Misra, Nadia, Nejah, Ana Maria A. C. Rocha, David Taniar, Bernardy I, Apduhan.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 7. | | JOÃO, R. S.; MPINDA, S. T. A.; VIEIRA, A. P. B.; JOÃO, R. S.; ROMANI, L. A. S.; RIBEIRO, M. X. A New approach to classify sugarcane fields based on association rules. In: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, 14., 2018. Information technology - new generations: proceedings. New York: Springer Science; Business Media, 2018. p. 475-483 (Advances in intelligent systems and computing, 558).| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 7 | |
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