dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-26T17:16:24Z
dc.date.available2018-11-26T17:16:24Z
dc.date.created2018-11-26T17:16:24Z
dc.date.issued2016-01-01
dc.identifierRevista Formacao Online. Araraquaria: Univ Estadual Paulista Julio Mesquita Filho, v. 3, n. 23, p. 317-338, 2016.
dc.identifier2178-7298
dc.identifierhttp://hdl.handle.net/11449/162369
dc.identifierWOS:000392394700016
dc.identifier7939791175456786
dc.identifier3356686459975471
dc.identifier0000-0001-7385-6705
dc.description.abstractThe spatial distribution of certain climatic element from collected sample points is a usual task in Climatology. However, the phenomenon generally presents spatially correlated so that there is a need to use an interpolation method that considers the presence of correlation between observations. Geostatistics is a technique capable of incorporating the spatial correlation in its procedures, and therefore quite used in several areas. But not always the steps required in technical employment are followed by their users, making the maps produced without the care of their application can not be representations consistent with the actual representation of the phenomenon in space. Thus, this paper aims to present the theory of geostatistics technique and illustrate how an analysis should be performed following all the steps that the technique calls through two examples of application in rainfall data for the Parana branch of Paranapanema basin. The results are obtained through Variowin (R) 2.21 and ArcMap (R) 10.1 software, and evaluated by the statistical mean square error of the square root (RMSE).
dc.languagepor
dc.publisherUniv Estadual Paulista Julio Mesquita Filho
dc.relationRevista Formacao Online
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectspatial interpolation
dc.subjectgeostatistics
dc.subjectordinary kriging
dc.subjectprecipitation
dc.subjectclimatology
dc.titleGEOESTATISTICS APPLIED TO SPATIAL DISTRIBUTION OF THE PRECIPITATION
dc.typeArtículos de revistas


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