Modelling air temperature for the state of São Paulo, Brazil

Scientia Agricola

Luis Rodríguez-lado²  Gerd Sparovek¹  Pablo Vidal-torrado¹  Durval Dourado-neto¹  Felipe Macías-vázquez² 

[1] ,USC Instituto de Investigaciones Tecnológicas Lab. de Tecnología AmbientalSantiago de Compostela,Spain

关键词: DEM;    GIS;    multiple regression analysis;    kriging;    climate modelling;    DEM;    SIG;    regressão linear múltipla;    krigagem;    modelagem climática;   

DOI  :  10.1590/S0103-90162007000500002

来源: SciELO

【 摘 要 】

Spatial modelling of air temperature (maximum, mean and minimum) of the State of São Paulo (Brazil) was calculated by multiple regression analysis and ordinary kriging. Climatic data (mean values of five or more years) were obtained from 256 meteorological stations distributed uniformly over the State. The correlation between the climatic dependent variables, with latitude and altitude as independent variables was significant and could explain most of the spatial variability. The coefficients of determination (P < 0.05) varied in the range of 0.924 and 0.953, showing that multiple regression analysis is an accurate method for the modelling of air temperature for the State of São Paulo. Finally, these regression equations were used together with the kriged maps of the residual errors to build 15 digital maps of air temperature using a 0.5 km² Digital Elevation Model in a Geographic Information System.

【 授权许可】

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