Geostatistics

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Geostatistics

2 - 6  December 2019geostatistics-wordcloud

Scope

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.

Programme
  • Day 1 morning: Lectures and exercises spatial variability
  • Day 1 afternoon: Computer lab spatial data in R and spatial variability
  • Day 1 evening: Group dinner
  • Day 2 morning: Lectures and exercises ordinary kriging, indicator kriging and spatial stochastic simulation
  • Day 2 afternoon: Computer lab kriging and spatial stochastic simulation
  • Day 3 morning: Lectures and exercises cross-validation, regression kriging, block kriging and area-to-point kriging
  • Day 3 afternoon: Computer lab cross-validation, regression kriging, block kriging and area-to-point kriging
  • Day 4 morning: Lecture and exercises space-time kriging and sampling design optimisation
  • Day 4 afternoon: Computer lab space-time kriging and sampling design optimisation
  • Day 5 morning: Lecture and computer lab generalised linear geostatistical models
  • Day 5 afternoon: Course evaluation & sampling design contest & drinks and snacks
Useful links
General information
Target Group The course is aimed at PhD candidates, postdocs, and other academics that are interested in statistical modelling of spatially distributed variables
Group Size Min. 15 / Max. 25 participants
Course duration 5 days
Language of instruction English
Frequency of recurrence Once every two years (December)
Number of credits 1.5 ECTS
Lecturers Prof.dr.ir. Gerard Heuvelink (Soil Geography and Landscape, Wageningen University) and Dr.ir. Sytze de Bruin (Laboratory of Geo-information Science and Remote Sensing, Wageningen University)
Prior knowledge Participants are expected to have a good knowledge of basic statistics. Participants without knowledge of the R language are encouraged to study this introduction to R.
Location Wageningen University Campus
Options for accommodation Accommodation is not included in the fee of the course, but there are several possibilities in Wageningen. For information on B&B's and hotels in Wageningen please visit proefwageningen.nl. Another option is Short Stay Wageningen. Furthermore Airbnb offers several rooms in the area. Finally, there are a number of groups on Facebook where students announce subrent possibilities and things like that. Examples include: Wageningen Room Subrent, Wageningen Room Sublets, Room Rent Wageningen, and Wageningen Student Plaza. Note that besides the restaurants in Wageningen, there are also options to have dinner on Wageningen Campus.

 

Fees 1
  EARLY-BIRD FEE 2 REGULAR FEE 2
PE&RC / WIMEK / WASS / EPS / VLAG / WIAS PhD candidates with an approved TSP €   350,- €   400,-
a) All other PhD candidates
b) Postdocs and staff of the above mentioned Graduate Schools
€   740,- €   790,-
All others € 1.090,- € 1.140,-

1 The course fee includes a reader, coffee/tea, lunches, and 1 course dinner. It does not include accommodation (NB: options for accommodation are given above)
2The Early-Bird Fee applies to anyone who REGISTERS ON OR BEFORE 4 NOVEMBER 2019

Note:

  • If you need an invoice to complete your payment, please send an email to office.pe@wur.nl, including ALL relevant details that should be mentioned on the invoice (e.g., purchase order no., specific addresses, attendees, etc.).
  • The Early-Bird policy is such that the moment of REGISTRATION (and not payment) is leading for determining the fee that applies to you.
  • Please make sure that your payment is arranged within two weeks after your registration.
  • It is the participant's responsibility to make sure that he/she (or his/her secretary) completes the payment correctly and in time.
PE&RC Cancellation Conditions
  • Up to 4 (four) weeks prior to the start of the course, cancellation is free of charge.
  • Up to 2 (two) weeks prior to the start of the course, a fee of € 350,- will be charged.
  • In case of cancellation within two weeks prior to the start of the course, a fee of € 740,- will be charged.
  • If you do not show at all, a fee of € 1090,- will nevertheless be charged.

Note: If you would like to cancel your registration, ALWAYS inform us and do not assume that by NOT paying the participation fee, your registration is automatically cancelled, because it isn't (and do note that you will be kept to the cancellation conditions).

More information

Prof.dr.ir. Gerard Heuvelink
Phone: +31 (0) 317 483723
Email: gerard.heuvelink@wur.nl

Dr.ir. Sytze de Bruin
Phone: +31 (0) 317 481830
Email: sytze.debruin@wur.nl

Dr. Lennart Suselbeek (PE&RC)
Phone: +31 (0) 317 485426
Email: lennart.suselbeek@wur.nl

Registration

To register, please enter your details below and click "Register".