Quantitative geographic ecology using R: modelling genomes, niches, and communities (QGER01)
https://www.prstatistics.com/course/quantitative-geographic-ecology-using-r- modelling-genomes-niches-and-communities-qger01/ 30th April 2018 - 4th May 2018 Dr. Dan Warren and Dr. Matt Fitzpatrick Course Overview: Spatial modelling is increasingly being used in ecology and evolutionary biology for both basic and applied research questions. While emphasis traditionally has been on species-level niche modelling, the increasing availability of genomic and community-level data has increased interest in modelling biodiversity patterns above and below the species level. This 5-day course will provide a thorough introduction to different spatial modelling techniques for quantifying and visualizing patterns of biodiversity across scales of biological organization – from population- level genetic variation, to species ecological niches, to communities. Students will learn about theory, common data types, and statistical techniques used in these different applications. The course will include introductory lectures, guided computer coding in R, and exercises for the participants, with an emphasis on visualization and reproducible workflows. All modelling and data manipulation will be performed with R. Attendees will learn to use niche modelling algorithms including Maxent, GLM, GAM, and others, and will learn both new and existing methods for conducting comparative studies using ENMs in the new ENMTools R package. Generalized Dissimilarity Modelling (GDM) and Gradient Forest (GF) will be taught for modelling genomic and community-level data. The course is intended for intermediate R users with interest in quantitative geographical ecology. After successfully completing this course students will: 1) Understand the theory underlying ENMs and the critical assumptions necessary to the modelling process. 2) Be able to develop, evaluate, and apply ENMs both in the context of conservation-oriented studies and to study niche evolution. 3) Understand the statistical underpinnings of GDM and GF 4) Be able to develop, evaluate and apply GDM and GF for quantifying and mapping spatial genetic patterns and community-level compositional variation 5) Assess population- and community-level vulnerability to climate change Monday 30th Organisation and Introductions. Spatial data in R. Point data, vector data, and raster data. GBIF, the Global Biodiversity Information Facility. Interacting with Google Maps. Working with raster and vector data. Tuesday 1st Ecological vs. historical biogeography. ENM / SDM concepts and assumptions Dismo Conceptual and practical issues with ecological inferences from distribution data. Simulating species occurrence data. Wednesday 2nd Testing ecological and evolutionary hypotheses via Monte Carlo methods. ENMTools R package. Ecospat Questions of taxonomic scale. Incorporating niche conservatism into the modelling process. Thursday 3rd Introduction to community-level modeling Background on GDM and GF Review of data formats and data preparation • Community-level data • Genomic data Model fitting and testing Interpreting model results, including turnover functions Model testing / validation / variable selection Friday 4th Predictions & Applications of GDM / GF Transforming grids Visualizing spatial variation in community / genetic composition • Dissimilarity between locations • Projecting patterns under climate change Please send enquiries to [email protected] Other upcoming courses 1. November 6th – 10th 2017 LANDSCAPE GENETIC DATA ANALYSIS USING R #LNDG Margam Discovery Centre, Wales, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r- lndg02/ 2. November 20th - 25th 2017 APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME SCENE, Scotland, Dr. Matt Denwood http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists- epidemiologists-abme03/ 3. November 27th – December 1st 2017 INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB Margam Discovery Centre, Wales, Dr. Martin Jones http://www.prinformatics.com/course/introduction-to-python-for-biologists- ipyb04/ ---------------------------------------------------------------------------- ---------------------------------------------------------------------------- ------------------ 4. December 4th - 8th 2017 ADVANCING IN STATISTICAL MODELLING USING R #ADVR Margam Discovery Centre, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane Timenes Laugen, http://www.prstatistics.com/course/advancing-statistical-modelling-using-r- advr07/ ---------------------------------------------------------------------------- ---------------------------------------------------------------------------- ------------------ 5. January 29t – February 2nd 2018 INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM SCENE, Scotland, Dr. Andrew Parnell http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical- modelling-using-r-ibhm02/ 6. January 29th – February 2nd 2018 PHYLOGENETIC DATA ANALYSIS USING R #PHYL SCENE, Scotland, Dr. Emmanuel Paradis https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis- with-r-phyg-phyl02/ ---------------------------------------------------------------------------- ---------------------------------------------------------------------------- ------------------ 7. February 19th – 23rd 2018 MOVEMENT ECOLOGY #MOVE Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr Jonathan Potts https://www.prstatistics.com/course/movement-ecology-move01/ 8. February 19th – 23rd 2018 GEOMETRIC MORPHOMETRICS USING R #GMMR Margam Discovery Centre, Wales, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/ ---------------------------------------------------------------------------- ---------------------------------------------------------------------------- ------------------ 9. March 5th - 9th 2018 SPATIAL PRIORITIZATION USING MARXAN #MRXN Margam Discovery Centre, Wales, Jennifer McGowan https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/ 10. March 12th - 16th 2018 ECOLOGICAL NICHE MODELLING USING R #ENMR Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r- enmr02/ 11. March 19th – 23rd 2018 BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML Glasgow, Scotland, Dr William Hoppitt http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum- likelihood-bdml01/ ---------------------------------------------------------------------------- ---------------------------------------------------------------------------- ------------------ 12. April 9th – 13th 2018 NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA Glasgow, Scotland, Dr. Marco Scotti https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/ 13. April 16th – 20th 2018 INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R #IPSY Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre http://www.psstatistics.com/course/introduction-to-statistics-using-r-for- psychologists-ipsy01/ 14. April 23rd – 27th 2018 MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE #VGNR Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet https://www.prstatistics.com/course/multivariate-analysis-of-ecological- communities-in-r-with-the-vegan-package-vgnr01/ 15. April 30th – 4th May 2018 QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES #QGER Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick https://www.prstatistics.com/course/quantitative-geographic-ecology-using-r- modelling-genomes-niches-and-communities-qger01/ ---------------------------------------------------------------------------- ---------------------------------------------------------------------------- ------------------ 16. May 7th – 11th 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet https://www.prstatistics.com/course/advances-in-spatial-analysis-of- multivariate-ecological-data-theory-and-practice-mvsp03/ 17. May 14th - 18th 2018 INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR BIOLOGISTS #IMBR CANADA (QUEBEC), Prof Subhash Lele https://www.prstatistics.com/course/introduction-to-mixed-hierarchical- models-for-biologists-using-r-imbr01/ 18. May 21st - 25th 2018 INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB SCENE, Scotland, Dr. Martin Jones http://www.prinformatics.com/course/introduction-to-python-for-biologists- ipyb05/ 19. May 21st - 25th 2018 INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi https://www.prinformatics.com/course/introduction-to-remote-sensing-and-gis- for-ecological-applications-irms01/ 20. May 28th – 31st 2018 STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r- simm04/ 21. May 28th – June 1st 2018 ADVANCED PYTHON FOR BIOLOGISTS #APYB SCENE, Scotland, Dr. Martin Jones https://www.prinformatics.com/course/advanced-python-biologists-apyb02/ ---------------------------------------------------------------------------- ---------------------------------------------------------------------------- ------------------ 22. June 12th -0 15th 2018 SPECIES DISTRIBUTION MODELLING #DBMR Myuna Bay sport and recreation, Australia, TBC COMING SOON www.PRstatistics.com 23. June 12th – 15th 2018 MARK RECAPTURE METHODS IN ECOLOGY #MKRC Myuna Bay sport and recreation, Australia, TBC COMING SOON www.PRstatistics.com 24. June 18th – 22nd 2018 STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS USING R #SEMR Myuna Bay sport and recreation, Australia, TBC COMING SOON www.PRstatistics.com ---------------------------------------------------------------------------- ---------------------------------------------------------------------------- ------------------ 25. July 2nd - 5th 2018 SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR Glasgow, Scotland, Prof James Curley http://www.psstatistics.com/course/social-network-analysis-for-behavioral- scientists-snar01/ 26. July 8th – 12th 2018 MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV Glasgow, Scotland, Prof David Warton https://www.prstatistics.com/course/model-base-multivariate-analysis-of- abundance-data-using-r-mbmv02/ 27. July 16th – 20th 2018 PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA TO CLINICAL INTERPRETATION #PMBI Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith COMING SOON www.prinformatics.com 28. July 23rd – 27th 2018 EUKARYOTIC METABARCODING Glasgow, Scotland, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/
