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Geostatistics – Handling Spatial and Spatial-temporal data Using R (GSFE01)

Name: Geostatistics – Handling Spatial and Spatial-temporal data Using R (GSFE01)
Start: 2019-11-18T00:00:00+00:00
End: 2019-11-22T23:59:59+00:00
Location: The Fort Garry Hotel

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

Teaching Format

Course Programme

Monday 21st – Classes from 09:00 to 17:00-17:30

Morning – Structure of spatial and spatiotemporal data
— Theory
— Points, lines, polygons, raster
— Coordinates and projections
— Practice using the following R package
— sp
— spacetime
— sf

Afternoon – Inverse distance weighted interpolation
— Theory
— Illustration
— Practice using the gstat R package

Tuesday 22nd – Classes from 09:00 to 17:00-17:30

Morning – Variogram
— Theory
— Lagged scatter plot
— Cloud variogram
— Sample variogram
— Model variogram
— Practice using the gstat R package

Afternoon – First steps into spatial interpolation
— Inverse distance weighted interpolation
— (Local) trend surface prediction
— Theory
— Illustration
— Practice using the gstat R package

Wednesday 23rd – Classes from 009:00 to 17:00-17:30

Morning – Variogram
— Theory
— Lagged scatter plot
— Cloud variogram
— Sample variogram
— Model variogram
— Directional variogram
— spatiotemporal variogram
— Practice using the gstat R package

Afternoon – Kriging
— Simple kriging
— Ordinary kriging
— Universal kriging
— Theory
— Illustration
— Practice using the gstat R package

Thursday 24th – Classes from 09:00 to 17:00-17:30

Morning – Simulations
— Sequential Gaussian simulations
— Sequential indicator simulations
— Theory
— Illustration
— Practice using the gstat R package

The last 1.5 days can either focus on spatial and spatiotemporal geostatistics for large datasets or spatial
modelling for stream networks.

Option 1 – Spatial and spatiotemporal geostatistics for large datasets

Thursday 24th – Afternoon
— The problems of large datasets
— Model estimation using integrated nested Laplace approximation (INLA)
— Theoretical foundation in using INLA in a geostatistics context

Friday 25th – Morning
— Ingredients to build a geostatistical model with the INLA R package
— A spatial model with the INLA R package
— A spatiotemporal model with the INLA R package

Friday 25th – Afternoon
— Practical using the INLA R package

Option 2 – Spatial modelling for stream networks
Thursday 24th – Afternoon
— The particularities of stream networks
— Geostatistical theory for stream network

Friday 25th – Morning 09:00-12:30
— The Torgegram
— Spatial stream prediction

Friday 25th – Afternoon 13:30-16:30
— Practical using SSN

Testimonial

+ Google Calendar + iCal Export

Details

Start:: 18th November 2019
End:: 22nd November 2019
Cost:: £560.00

Organiser

: Oliver Hooker (Course Organiser)

Venue

The Fort Garry Hotel; 222 Broadway
Winnipeg, Winnipeg MB R3C 0R3 Canada + Google Map
Phone:: 07966500340
Website:: www.prstatistics.com

Who's Attending

24 people are attending Geostatistics – Handling Spatial and Spatial-temporal data Using R (GSFE01)