Geostatistics is concerned with the analysis and modelling of spatial variability. It also addresses how quantified spatial variability can be used in optimal spatial interpolation and spatial stochastic simulation. Fields of application include geology, soil science, agronomy, ecology, forestry, hydrology, climatology and geography. This course aims to provide PhD candidates with a solid background in standard and more advanced geostatistical methods, such that they can apply these methods in their own research. The course is a mix of theory and practice, with case studies that are analysed using R and contributed geostatistical packages. The course material is a selection of journal papers and book chapters, which are made available at the start of the course.
Former occurrences of this course
13-17 Dec 2021 | 2-6 Dec 2019 | 5-9 Feb 2018 | 7-11 Dec 2015 | 16-20 Dec 2013 | 12-16 Dec 2011 | 25-29 Oct 2010