MEIO - Summer School - Statistical Methods for Spatial Data
Impartit per: Murray Clayton, University of Wisconsin, clayton@stat.wisc.edu
Llengua del curs: Anglès
Dates i horaris del curs: 14 a 17 de juny. Dies 14 i 15 de 16 a 19 h., els dies 16 i 17 de 16 a 18 h.
Aules FME: 002 / PC1
Tipus d'activitat i càrrega lectiva: Curs de 10 hores
Reconeixement acadèmic: 1,5 crèdits
Data de matrícula: del 17de maig al 6 de juny 2010
Objectius del curs: The course will focus on analyzing and modeling spatial data, with applications that include the environmental and ecological sciences, plant and animal sciences, and epidemiology. This course will focus on methods, although some discussions of theoretical matters will also arise.
Temari:We will devote the first session to provide an overview of spatial point processes and methods for lattice data and spend the remaining of the course to geostatistics.
- Spatial Point Processes
- definition and testing for complete spatial randomness, Poisson processes
- Inhomogeneous and Generalized Poisson processes: Neyman Type A, Compound Poisson processes, Cox processes
- inhibition processes of Matern, and Strauss, Sequential Spatial Inhibition
- distance methods
- Lattice Data
- Geostatistics
- variogram estimation and models
- introduction to kriging
- assessing assumptions and exploratory analyses
- fitting trend surfaces, universal kriging
- nonlinear mixed effects models, inferences for universal kriging
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