Geostatistics – Handling Spatial and Spatial-temporal data Using R (GSFE01) https://www.prstatistics.com/course/geostatistics-handling-spatial-and-spati... 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 relevant to the study of marine mammals 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 oliverhooker@PRstatistics.com 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-f... 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-ecologist... 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-spati... 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-r4... 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-ecol... 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-migra... 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-s... 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-ecolog... 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... -- 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). prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340