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Statistics Spatial&Spatio-temp. Data
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Design and set up a space-time data modeling problem, identity measurable objectives, and implement the modeling ideas in the R statistical software
Differentiate between the conceptualization of spatial correlation of the different kinds of spatial processes (geostatistical, lattice, and point pattern processes) and their significance in spatial and space-time prediction
Describe the concepts and assumptions of stationarity (second-order and intrinsic) and its role in stochastic spatial and space-time prediction and simulations
Differentiate between the principles of deterministic and stochastic spatial predictions and simulations for the different spatial processes
Quantify the concept of spatial correlation (second-order and intrinsic) and implement it for variant stochastic spatial and space-time prediction (kriging) methods
Describe the conceptualization of spatial data for modelling spatial processes
Apply the concept of spatial and space-time simulations (conditional and unconditional) and evaluate the overriding advantage over kriging predictions.
UNIVERSITY OF TWENTE
Faculty of Geo-Information Science and Earth Observation
GeoCourseHub at Utwente.nl