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

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

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

https://www.prstatistics.com/course/geostatistics-handling-spatial-and-spatial-temporal-data-using-r-gsfe01/

This course will be delivered by Dr. Guillaume Blanchet from November
18th-22nd in Winnipeg, Canada.

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}.

COURSE PROGRAMME

Monday 18th – 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 19th – 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 20th – 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 21st – 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 21st – Afternoon
— The problems of large datasets
— Model estimation using integrated nested Laplace approximation (INLA)
— Theoretical foundation in using INLA in a geostatistics context
Friday 22nd – 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 22nd – Afternoon
— Practical using the INLA R package

Option 2 – Spatial modelling for stream networks
Thursday 21st – Afternoon
— The particularities of stream networks
— Geostatistical theory for stream network
Friday 22nd – Morning 09:00-12:30
— The Torgegram
— Spatial stream prediction
Friday 22nd – Afternoon 13:30-16:30
— Practical using SSN

For more details email [hidden email]

Check out our sister sites
www.PRstatistics.com (Ecology and Life Sciences)
www.PRstatistics.com/consultancy (Statistical and bioinformatics
consultancy in all fields)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition)

1.           October 21st – 25th 2019
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE (VGNR01)
Glasgow, Scotland, Dr. Guillaume Blanchet
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr01/

2.           November 4th – 8th 2019
INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL
SCIENCES USING R AND STAN (BDRS02)
Glasgow, Scotland, Dr. Mark Andrews
https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs02/

3.           November 11th – 15th 2019
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME05)
Glasgow, Scotland, Dr Matt Denwood, Emma Howard
https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme05/

4.           November 18th – 22nd 2019
GEOSTATISTICS – HANDLING SPATIAL AND SPATIAL-TEMPORAL DATA USING R (GSFE01)
Wimmipeg, CANADA, Dr Guillaume Blanchet
https://www.prstatistics.com/course/geostatistics-handling-spatial-and-spatial-temporal-data-using-r-gsfe01/

5.           January 20th – 24th2020
R4ALL – INTRODUCTION TO R (R4ALL
Glasgow, Scotland, Dr Andrew Beckerman, Dr. Dylan Childs
https://www.prstatistics.com/course/r-4-all-andrew-beckerman-dylan-childs-r4ll01/

6.           February 3rd – 7th 2020
INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISPE02)
Glasgow, Scotland, Dr. Jakub Nowosad
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe02/

7.           February 24th – 28TH 2020
MOVEMENT ECOLOGY (MOVE03)
Margam Discovery Centre, Wales, Dr. Luca Borger, Dr Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move03/

8.           March 16th – 20th 2020
POPULATION GENETICS INFERENCE WITH ‘MIGRATE’ (PGMG01)
Glasgow, Scotland, Prof. Peter Beerli
https://www.prstatistics.com/course/population-genetics-inference-with-migrate-pgmg01/

9.           May 11th – 15th 2020
FORMALIZING UNCERTAINTY: FUZZY LOGIC IN SPECIES DISTRIBUTION AND
DIVERSITY PATTERNS (FLDM01)
Glasgow, Scotland, Dr. Marcia Barbosa
https://www.prstatistics.com/course/formalizing-uncertainty-fuzzy-logic-in-species-distribution-and-diversity-patterns-fldm01/

10.        May 18th – 22nd 2020
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck, Dr. Jim (ames) Grace
https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/

11.        October 5th – 9th 2020
ECOLOGICAL NICHE MODELLING USING R (ENMR04)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr04/

12.        October 11th – 16th 2020
ADVANCED ECOLOGICAL NICHE MODELLING USING R (ABNMR01)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/

--
Oliver Hooker PhD.
PR statistics

2019 publications;

A way forward with eco evo devo: an extended theory of resource
polymorphism with postglacial fishes as model systems. Biological
Reviews (2019).

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