A hybrid framework for space-time modeling of environmental data
- Author
- CHENG, T; WANG, J; LI, X1
[1] School of Geography and Planning, Sun Yat-sen Univ., Guangzhou, China - Source
Geographical analysis. 2011, Vol 43, Num 2, pp 188-210, 23 p ; ref : 28 ref
- Publisher
- Ohio State University Press, Columbus, OH
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Espace-temps Modèle Prévision Réseau neural Statistique Série chronologique Température Pondération spatiale Chine
- Keyword (en)
- Space time Model Forecast Neural network Statistics Time series Temperature Spatial weighting China
- Keyword (es)
- Espacio-tiempo Modelo Previsión Red neural Estadística Serie cronológica Temperatura China
- Classification
- Francis
- 531 Bgi / Prodig / 531-1 General / 531-6 General methodology / 531-8 Statistical and stochastic methods
- Discipline
- Geography
- Origin
- PRODIG
- Database
- FRANCIS
- INIST identifier
- 24247337
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1111/j.1538-4632.2011.00813.x 
https://dx.doi.org/10.1111/j.1538-4632.2011.00813.x
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