Ecological niche modelling using R (ENMR03) https://www.prstatistics.com/course/ecological-niche-modelling-using-r- enmr03/
This course will be delivered by Dr. Neftalí Sillero from the 11th - 15th March 2019 in Glasgow City Centre. Please share! Course Overview: The course will cover the base theory of ecological niche modelling and its main methodologies. By the end of this 5-day practical course, attendees will have the capacity to perform ecological niche models and understand their results, as well as to choose and apply the correct methodology depending on the aim of their type of study and data. Ecological niche, species distribution, habitat distribution, or climatic envelope models are different names for similar mechanistic or correlative models, empirical or mathematical approaches to the ecological niche of a species, where different types of ecogeographical variables (environmental, topographical, human) are related with a species physiological data or geographical locations, in order to identify the factors limiting and defining the species’ niche. ENMs have become popular due to the need for efficiency in the design and implementation of conservation management. The course will be mainly practical, with some theoretical lectures. All modelling processes and calculations will be performed with R, the free software environment for statistical computing and graphics (http://www.r-project.org/). Attendees will learn to use modelling algorithms like Maxent, Bioclim, Domain, and logistic regressions, and R packages for computing ENMs like Dismo and Biomod2. Also, students will learn to compare different ecological niche models using the Ecospat package. Course programme Monday 17th – Classes from 09:30 to 17:30 Elementary concepts on Ecological Niche Modelling Module 1: Introduction to ENM theory. Definition of ecological niche model; introduction to species ecological niche theory, types of ecological niches, types of ENM, diagram BAM, ENMs as approximations to species’ niches. Module 2: Problems and limitations on ENM. Assumptions and uncertainties, equilibrium concept, niche conservatism, autocorrelation and intensity, sample size, correlation of environmental variables, size and form of study area, thresholds, model validation, model projections. Module 3: Methods on ENM. Mechanistic and correlative models. Overlap Analysis, Biomod, Domain, Habitat, Distance of Mahalanobis, ENFA, GARP, Maxent, Logistic regression, Generalised Linear Models, Generalised Additive Models, Generalised Boosted Regression Models, Random Forest, Support Vector Machines, Artificial Neural Network. Module 4: Conceptual and practice steps to calculate ENM. How to make an ENM step-by-step. Module 5: Applications of ENM. Ecological niche identification, Identification of contact zones, Integration with genetical data, Species expansions, Species invasions, Dispersion hypotheses, Species conservation status, Prediction of future conservation problems, Projection to future and past climate change scenarios, Modelling past species, Modelling species richness, Road-kills, Diseases, Windmills, Location of protected areas. Tuesday 18th – Classes from 09:30 to 17:30 Prepare environmental variables and run ecological niche models with dismo package. Module 6: Preparing variables. Choosing environmental data sources, Downloading variables, Clipping variables, Aggregating variables, Checking pixel size, Checking raster limits, Checking NoData, Correlating variables. Module 7: Dismo practice. How to run an ENM using the R package dismo. Wednesday 19th – Classes from 09:30 to 17:30 Run ecological niche models with Biomod2 package and Maxent. Module 8: Biomod2 practice. How to run an ENM using the R package Biomod2. Module 9: Maxent practice. How to run an ENM using the R packages dismo and Biomod2 as well as Maxent software. Thursday 20th – Classes from 09:30 to 17:30 Compare ecological niche models with ecospat. Module 10: Ecospat practice. Compare statistically two different ecological niche models using the R package Ecospat. Module 11: Students’ talks. Attendees will have the opportunity to present their own data and analyse which is the best way to successfully obtain an ENM. Friday 21st – Classes from 09:30 to 16:00 Run ecological niche models with your own data. Module 12: Final practical. In this practical, the students will run ENM with their own data or with a new dataset, applying all the methods showed during the previous days. Email oliverhoo...@prstatistics.com Check out our sister sites, www.PRstatistics.com (Ecology and Life Sciences) www.PRinformatics.com (Bioinformatics and data science) www.PSstatistics.com (Behaviour and cognition) 1. October 15th – 19th 2018 APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME04) Glasgow, Scotland, Dr. Matt Denwood, Emma Howard http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists- epidemiologists-abme04/ 2. October 23rd – 25th 2018 INTRODUCTIUON TO R (This is a private ‘in-house’ course) London, England, Dr William Hoppitt 3. October 29th – November 2nd 2018 INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02) Glasgow, Scotland, Dr. Olivier Gauthier https://www.prstatistics.com/course/introduction-to-statistics-and-r-for- biologists-irfb02/ 4. October 29th – November 2nd 2018 INTRODUCTION TO BIOINFORMATICS FOR DNA AND RNA SEQUENCE ANALYSIS (IBDR01) Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw- genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/ 5. November 5th – 8th 2018 PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND PHENOTYPIC EVOLUTION (PCME01) Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou https://www.prstatistics.com/course/phylogenetic-comparative-methods-for- studying-diversification-and-phenotypic-evolution-pcme01/ 6. November 19th – 23rd 2018 STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02) Glasgow, Scotland, Dr. Jonathan Lefcheck https://www.prstatistics.com/course/structural-equation-modelling-for- ecologists-and-evolutionary-biologists-semr02/ 7. November 26th – 30th 2018 FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER01) Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos Carmona http://www.prstatistics.com/course/functional-ecology-from-organism-to- ecosystem-theory-and-computation-feer01/ 8. December 3rd – 7th 2018 INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES USING R AND STAN (BDRS01) Glasgow, Dr. Mark Andrews https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis- for-social-and-behavioural-sciences-using-r-and-stan-bdrs01/ 9. January 21st – 25th 2019 STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (TTED01) Glasgow, Scotland, Dr. Will Hoppitt https://www.psstatistics.com/course/statistical-modelling-of-time-to-event- data-using-survival-analysis-tted01/ 10. January 21st – 25th 2019 ADVANCING IN STATISTICAL MODELLING USING R (ADVR08) Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay http://www.prstatistics.com/course/advancing-statistical-modelling-using-r- advr08/ 11. January 28th– February 1st 2019 AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN Glasgow, Scotland, VEMCO staff and affiliates https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data- analysis-atda01/ 12. February 4th – 8th 2019 DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) Glasgow, Scotland, Dr. Daniel Lakens https://www.psstatistics.com/course/designing-reliable-and-effecient- experiments-for-social-sciences-dres01/ 13. February 11th – 15th 2019 REPRODUCIBLE DATA SCIENCE FOR POPULATION GENETICS Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar https://www.prstatistics.com/course/reproducible-data-science-for- population-genetics-rdpg02/ 14. 25th February – 1st March 2019 MOVEMENT ECOLOGY (MOVE02) Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr Jonathan Potts https://www.prstatistics.com/course/movement-ecology-move02/ 15. March 4th – 8th 2019 BIOACUSTIC DATA ANALYSIS Glasgow, Scotland, Dr. Paul Howden-Leach https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware- survey-design-and-data-analysis-biac01/ 16. March 11th – 15th 2019 ECOLOGICAL NICHE MODELLING USING R (ENMR03) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r- enmr03/ 17. March 18th – 22nd 2019 INTRODUCTION TO STATISTICS AND R FOR EVERYONE (IRFE01) Crete, Greece, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/introduction-to-statistics-and-r-for- anyone-irfe01/ 18. March 25th – 29th 2019 LANDSCAPE GENETIC DATA ANALYSIS USING R (LNDG03) Glasgow, Scotland, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r- lndg03/ 19. April 1st – 5th 2019 INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01) Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre http://www.psstatistics.com/course/introduction-to-statistics-using-r-for- psychologists-ipsy02/ 20. April 1st – 5th 2019 INDIVIDUAL BASED MODELS FOR ECOLOGSITS (IBME01) Glasgow Scotland, Dr Aristides (Aris) Moustakas Link to follow 21. April 8th – 12th 2019 MACHINE LEARNING Glasgow Scotland, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/machine-learning-using-r-mlur01/ 22. April 8th – 12th 2019 SPATIAL MODELLING, ANALYSIS AND STATISTICAL INFERENCE OF GENOMIC DATA (SPGN01) Crete, Greece, Dr Matt Fitzpatrick https://www.prstatistics.com/course/spatial-modelling-analysis-and- statistical-inference-of-genomic-data-spgn01/ 23. May 6th – 10th 2019 NETWORK ANAYLSIS FOR ECOLOGISTS USING R (NTWA03) Myuna Bay, Australia, Dr. Marco Scotti www.prstatistics.com/course/network-analysis-ecologists-ntwa03/ 24. May 16th – 18th 2019 (please note this a 3-day course from Thursday to Saturday) AQUATIC MOVEMENT ECOLOGY USING R (AMER01) Myuna Bay, Australia, Dr. Ross Dwyer, Dr. Vinay Udyawer Link to follow 25. May 16th – 19th 2019 (please note this a 4-day course from Thursday to Monday) Introduction to R for everyone (IRFE02) Myuna Bay, Australia, Dr Aristides (Aris) Moustakas Link to follow 26. May 20th – 24th 2019 MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV03) Myuna Bay, Australia, Prof. David Warton https://www.prstatistics.com/course/model-based-multivariate-analysis-of- abundance-data-using-r-mbmv03/ 27. May 21st – 24th 2019 A statistical tool box for ecologists (STBE01) Myuna Bay, Australia, Dr Aristides (Aris) Moustakas Link to follow 28. June 10th – 14th 2019 STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04) Glasgow, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/ 29. June 17th – 21st 2019 INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB06) Glasgow, Scotland, Dr. Martin Jones http://www.prinformatics.com/course/introduction-to-python-for-biologists- ipyb06/ 30. June 24th – 28th 2019 ADVANCED PYTHON FOR BIOLOGISTS (APYB03) Glasgow, Scotland, Dr. Martin Jones www.prinformatics.com/course/advanced-python-biologists-apyb03/ 31. July 1st – 5th 2019 DATA VISUALISATION AND MANIPULATION USING PYTHON (DVMP01) Glasgow, Scotland, Dr. Martin Jones http://www.prinformatics.com/course/data-visualisation-and-manipulation- using-python-dvmp01/ 32. October 7th – 11th 2019 CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01) Crete, Greece, Dr Richard Schuster and Nina Morell https://www.prstatistics.com/course/conservation-planning-using-prioritizr- from-theory-to-practice-prtz01/ 33. October 21st – 25th 2019 A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL AUTOCORRELATION) (MMTS01) Crete, Greece, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/a-complete-guide-to-mixed-models- including-temporal-and-spatial-autocorrelation-mmts01/
