| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Agricultura Digital. |
|
Data corrente: |
19/08/2011 |
|
Data da última atualização: |
06/01/2012 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
NUNES, S. A.; ROMANI, L. A. S.; AVILA, A. M. H.; TRAINA JUNIOR, C.; SOUSA, E. P. M. de; TRAINA, A. J. M. |
|
Afiliação: |
SANTIAGO AUGUSTO NUNES, ICMC/USP; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; ANA M. H. AVILA, Cepagri/Unicamp; CAETANO TRAINA JUNIOR, ICMC/USP; ELAINE P. M. DE SOUSA, ICMC/USP; AGMA J. M. TRAINA, ICMC/USP. |
|
Título: |
Fractal-based analysis to identify trend changes in multiple climate time series. |
|
Ano de publicação: |
2011 |
|
Fonte/Imprenta: |
Journal of Information and Data Management, Belo Horizonte, v. 2, n. 1, p. 51-57, Feb. 2011. |
|
Idioma: |
Inglês |
|
Conteúdo: |
Abstract. In the last few decades, huge amounts of climate data have been gathered and stored by several institutions. The analysis of these data has become an important task due to worldwide climate changes and the consequent social and economic effects. In this work, we propose an approach to analyzing multiple climate time series in order to identify intrinsic temporal patterns and trend changes. By dealing with multiple time series as multidimensional data streams and combining fractal-based analysis with clustering, we can integrate different climate variables and discover general behavior changes over time. |
|
Palavras-Chave: |
Clusterização; Dados climáticos; Mineração de dados; Séries temporais. |
|
Thesaurus Nal: |
Climate; Cluster analysis; Meteorology and climatology; Time series analysis. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/40113/1/fractal105-389-1-PB.pdf
|
|
Marc: |
LEADER 01481naa a2200277 a 4500
001 1898365
005 2012-01-06
008 2011 bl uuuu u00u1 u #d
100 1 $aNUNES, S. A.
245 $aFractal-based analysis to identify trend changes in multiple climate time series.$h[electronic resource]
260 $c2011
520 $aAbstract. In the last few decades, huge amounts of climate data have been gathered and stored by several institutions. The analysis of these data has become an important task due to worldwide climate changes and the consequent social and economic effects. In this work, we propose an approach to analyzing multiple climate time series in order to identify intrinsic temporal patterns and trend changes. By dealing with multiple time series as multidimensional data streams and combining fractal-based analysis with clustering, we can integrate different climate variables and discover general behavior changes over time.
650 $aClimate
650 $aCluster analysis
650 $aMeteorology and climatology
650 $aTime series analysis
653 $aClusterização
653 $aDados climáticos
653 $aMineração de dados
653 $aSéries temporais
700 1 $aROMANI, L. A. S.
700 1 $aAVILA, A. M. H.
700 1 $aTRAINA JUNIOR, C.
700 1 $aSOUSA, E. P. M. de
700 1 $aTRAINA, A. J. M.
773 $tJournal of Information and Data Management, Belo Horizonte$gv. 2, n. 1, p. 51-57, Feb. 2011.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
|
Data corrente: |
30/06/2015 |
|
Data da última atualização: |
03/04/2023 |
|
Tipo da produção científica: |
Artigo em Anais de Congresso |
|
Autoria: |
SANTOS, P. M.; PEZZOPANE, J. R. M.; PEDROSO, T. de A.; BOSI, C.; GALHARTE, C.; ANDRADE, A. S. de; PEDREIRA, B.; MARIN, F. |
|
Afiliação: |
PATRICIA MENEZES SANTOS, CPPSE; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; TALES DE ASSIS PEDROSO, GRADUANDO UFSCar, SÃO CARLOS.; CRISTIAM BOSI, POS-DOUTORANDO ESALQ/USP, PIRACICABA, SP.; CAROLINE GALHARTE, POS-DOUTORANDA, CPPSE.; ANDRÉ SANTA DE ANDRADE, GRADUANDO; BRUNO PEDREIRA, CPAMT; FÁBIO MARIN, ESALQ/USP, PIRACICABA, SP. |
|
Título: |
Using mathematical models to simulate growth and future scenarios of tropical grasslands. |
|
Ano de publicação: |
2015 |
|
Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON FORAGES IN WARM CLIMATES, 1., 2015, Lavras, Brasil. Proceedings... Lavras: University of Lavras, 2015. |
|
Páginas: |
p.63-84. |
|
ISBN: |
978.85.8179.089-3 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Global temperature may increase by up to 4.8°C until 2100, according to predictions from the Fifth Assessment Report (AR5) ofthe Intergovernmental Pane1on Climate Change (IPCC, 2013). According to Calzadilla et al. (2013), global agricultural production is expected to decrease by 0.5% in the medium and 2.3% in the long termo Besides that, the distribution of harvested land is expected to change, implying modifications on production and intemational trade patterns (Calzadilla et al., 2013). In Brazil, global climatic changes are supposed to influence agriculture, which is responsible for 22% ofthe Brazilian gross national product (CEPEA, 2013),Adaptation ofproduction systems and mitigation of greenhouse gas emissionsare the main challenges imposed by global climate changes to agriculture. |
|
Palavras-Chave: |
GLOBAL TEMPERATURE; MATEMATHICAL. |
|
Thesaurus NAL: |
tropical grasslands. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/126017/1/PROCI-2015.00018.pdf
|
|
Marc: |
LEADER 01585nam a2200241 a 4500
001 2018915
005 2023-04-03
008 2015 bl uuuu u00u1 u #d
100 1 $aSANTOS, P. M.
245 $aUsing mathematical models to simulate growth and future scenarios of tropical grasslands.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE ON FORAGES IN WARM CLIMATES, 1., 2015, Lavras, Brasil. Proceedings... Lavras: University of Lavras$c2015
300 $ap.63-84.
520 $aGlobal temperature may increase by up to 4.8°C until 2100, according to predictions from the Fifth Assessment Report (AR5) ofthe Intergovernmental Pane1on Climate Change (IPCC, 2013). According to Calzadilla et al. (2013), global agricultural production is expected to decrease by 0.5% in the medium and 2.3% in the long termo Besides that, the distribution of harvested land is expected to change, implying modifications on production and intemational trade patterns (Calzadilla et al., 2013). In Brazil, global climatic changes are supposed to influence agriculture, which is responsible for 22% ofthe Brazilian gross national product (CEPEA, 2013),Adaptation ofproduction systems and mitigation of greenhouse gas emissionsare the main challenges imposed by global climate changes to agriculture.
650 $atropical grasslands
653 $aGLOBAL TEMPERATURE
653 $aMATEMATHICAL
700 1 $aPEZZOPANE, J. R. M.
700 1 $aPEDROSO, T. de A.
700 1 $aBOSI, C.
700 1 $aGALHARTE, C.
700 1 $aANDRADE, A. S. de
700 1 $aPEDREIRA, B.
700 1 $aMARIN, F.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
