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Geostatistics – Handling Spatial and Spatial-temporal data Using R (GSFE01)
18th November 2019 - 22nd November 2019
£560.00
Course Overview:
This 5-day course will cover the concepts, methods, and R tools that can be used to analyse spatial and spatiotemporal data through Geostatistic. The course will review data processing techniques relevant to spatial and spatiotemporal data sets. Following, we will cover spatial interpolation methods such as inverse distance weighted interpolation as well as simple, ordinary and universal kriging, sequential Gaussian (co)simulation and sequential indicator (co)simulation. Through these different interpolation methods, we will learn about the different types of variograms and variogram models including directional and omnidirectional variograms. As advance topic, depending on time and interest, we will discuss about spatial modelling of stream networks using \texttt{SSN} and spatial and spatiotemporal modelling of large data using \texttt{INLA}.
Intended Audience
Coming soon…
Venue –The Fort Garry Hotel (222 Broadway Winnipeg R3C 0R3, Canada) – Google Map
Availability – 35 places
Duration – 5 days
Contact hours – Approx. 35 hours
ECT’s – Equal to 3 ECT’s
Language – English
Packages
We only offer a COURSE ONLY package for this course.
• COURSE ONLY – Includes lunch and refreshments.
Accommodation can be booked at The Fort Garry Hotel (222 Broadway Winnipeg R3C 0R3, Canada)
To book ‘COURSE ONLY’ please scroll to the bottom of this page.
Other payment options are available please email oliverhooker@prstatistics.com
PLEASE READ – CANCELLATION POLICY: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees (and accommodation fees if booked through PR statistics) will be credited. However, PR statistics will not be held responsible/liable for any travel fees, accommodation costs or other expenses incurred to you as a result of the cancellation. Because of this PR statistics strongly recommends any travel and accommodation that is booked by you or your institute is refundable/flexible and to delay booking your travel and accommodation as close the course start date as economical viable.
Dr. Guiallume Blanchet
Clement Garcia,