Guia docente 2014_15
Facultad de CC. Económicas y Empresariales
Máster Universitario en Técnicas Estadísticas
 Asignaturas
  Estadística Espacial
   Fuentes de información
Bivand, R.S.; Pebesma, E.J.; Gómez-Rubio, V., Applied Spatial Data Analysis with R, Springer Science,
Chilès, J.P.; Delfiner, P., Geostatistics.Modelingspatial uncertainty, Wiley, NewYork,
Christakos, G., Random field models in earth sciences, Academic Press, San Diego,
Cressie, N., Statistics for spatial data, Wiley, NewYork,
Fernández Casal, R; Cotos Yáñez, T.R., Cap. 7: Geoestadística Espacial, Sistemas de Información Mediomabiental. Netbiblo. D.L,
Gaetan, C.; Guyon, X., Spatial Statsitics and Modeling, Springer, London,
Goovaerts, P., Geostatistics for natural resources evaluation, Oxford University Press,
Isaaks, E.H.; Srivastava, R.M., Applied geostatistics, Oxford University Press, New York,
Journel, A.G.; Huijbregts, C.J., Mining Geostatistics, Academic Press, London,
Menezes, R.; García-Soidán, P.; Febrero, M., A comparison of approaches for valid variogram achievement, Computational Statistics 20, 4, 623-642,
R Development Core Team, R: A language and environment for statistical computing. R Foundation for Statistical Computing. http://www.r-project.org, Vienna, Austria,
Samper Calvete, F.J.; Carrera Ramírez, J., Geoestadística. Aplicaciones a la hidrología subterránea, CIMNE, Barcelona,
Shapiro, A.; Botha, J., Variogram fittingwith a general class of conditionally nonnegative definite functions, Computational Statistics and Data Analysis 11, 87-96,

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