@InProceedings{Alves:2011:AvInEs,
               author = "Alves, Fabio Corr{\^e}a",
          affiliation = "{Universidade Estadual de Maring{\'a} - UEM}",
                title = "Avalia{\c{c}}{\~a}o de interpoladores para a 
                         espacializa{\c{c}}{\~a}o de vari{\'a}veis de 
                         precipita{\c{c}}{\~a}o na bacia hidrogr{\'a}fica do rio 
                         Iva{\'{\i}}",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "4070--4077",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "GIS, Spatial analysis, Interpolator, Accuracy, SIG, an{\'a}lise 
                         espacial, interpolador, acur{\'a}cia.",
             abstract = "A greater care with data handling in softwares using GIS also 
                         requires a greater knowledge and dedication to better represent 
                         and visualize the real surface. The use of a GIS for spatial 
                         analysis by the interpolation process with the precipitation 
                         variable is useful where values which are not sampled in a given 
                         region are estimated, favoring a better land use planning, 
                         associated with different environmental factors. Improper handling 
                         of a given interpolator may hide the expected outcome, 
                         underestimating or overestimating the final results, requiring 
                         further knowledge for better treating the data. The aim of this 
                         study is to evaluate the interpolators performance: quadrant 
                         Weighted average, weighted average, simple average and nearest 
                         neighbor, used in the regular grids generation with the version 
                         5.0.6 SPRING software. The research was carried out based on 111 
                         weather station samples with precipitation information distributed 
                         along the Iva{\'{\i}} river basin. The analysis was done 
                         visually by the thematic maps generated, accuracy verification and 
                         interpolators performance, using methods of cross validation and 
                         root mean squared error. The best results in accuracy and 
                         performance were obtained by the simple average interpolator, thus 
                         a better investigation is recommended with multiple variables at 
                         different sampling arrangements. For both methods, the weighted 
                         average interpolator showed the worst results.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A5HRN2",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A5HRN2",
           targetfile = "p0248.pdf",
                 type = "Geoprocessamento",
        urlaccessdate = "26 abr. 2024"
}