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ONLINE COURSE – Advanced Ecological Niche Modelling Using R (ANMR01)
25th January 2021 - 29th January 2021
£500.00
Event Date
Monday, January 25th, 2022
Course Format
This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.
Time Zone
TIME ZONE – UTC+2 – however all sessions will be recorded and made available allowing attendees from different time zones to follow.
Please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you).
About This Course
Have you built an Ecological Niche Model? If yes, you have already encountered challenges on data preparation, or have struggled with issues in models fitting and accuracy. This course will teach you how to overcome these challenges and improve the accuracy of your ecological niche models.
By the end of 5-day practical course you will have the capacity to
- filter records and select your variables with variance inflation factor;
- test the effect of Maxent regularization parameter in models performance;
- validate models performance and accuracy;
- perform MESS analysis, null models, and mechanistic models, as well as to build your “virtual species”.
Students will learn to use functions implemented in the packages “usdm”; “dismo”; “ENMEval”; “SDMvspecies”; “spThin”; and “NicheMapper” among others.
Intended Audiences
This course is orientated to PhD and MSc students, as well as other students and researchers working on biogeography, spatial ecology, or related disciplines, with experience in ecological niche models.
Venue
Delivered remotely
Course Details
Availability – 24 places
Duration – 5 days
Contact hours – Approx. 35 hours
ECT’s – Equal to 3ECT’s
Language – English
Teaching Format
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 graphic(http://www.r-project.org/).
Assumed quantitative knowledge
A basic understanding of ecological niche models and biogeography in general is required.
Assumed computer background
Experience implementing ecological niche models using R is desirable.
Equipment and software requirements
A laptop computer with a working version of R or RStudio is required. R and RStudio are both available as free and open source software for PCs, Macs, and Linux computers. R may be downloaded by following the links here https://www.r-project.org/. RStudio may be downloaded by following the links here: https://www.rstudio.com/.
All the R packages that we will use in this course will be possible to download and install during the workshop itself as and when they are needed, and a full list of required packages will be made available to all attendees prior to the course.
A working webcam is desirable for enhanced interactivity during the live sessions, we encourage attendees to keep their cameras on during live zoom sessions.
Although not strictly required, using a large monitor or preferably even a second monitor will improve he learning experience
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 will be credited.
If you are unsure about course suitability, please get in touch by email to find out more oliverhooker@prstatistics.com
COURSE PROGRAMME
Teaches
- Ecological Niche Modelling Using R (ENMR)
- Advanced Ecological Niche Modelling Using R (ANMR)
- GIS And Remote Sensing Analyses With R (GARM)
Monday 25th
Classes from 09:30 to 17:30
- ENM guide: how to model.
- ENM R packages.
- Sources of environmental variables using dismo package.
- Getting species records with rgbif package.
Tuesday 26th
Classes from 09:30 to 17:30
- Variable selection with variance inflation factor (VIF) and usdm packages.
- Choosing the correct study area.
- Filtering records using usdm/sp Thin packages.
- Choosing pseudo-absences with Biomod2 package.
Wednesday 27th
Classes from 09:30 to 17:30
- Split records in training and test with ENMeval package.
- Test effect of Maxent regularization parameter.
- Comparing correlative models with AIC, with ENMeval package.
- Validate models null models.
Thursday 28th
Classes from 09:30 to 17:30
- MESS practice with Biomod2 package.
- VirtualSpecies SDMvspecies packages.
- MIGCLIM practice.
Friday 29th
- Mechanistic model NicheMapper packages.
Dr. Neftali Sillero
Neftalí Sillero works in the analysis and identification of biodiversity spatial patterns, from species to populations and individuals. For this, he uses four powerful tools to better understand how space influence biodiversity: Geographical Information Systems, Remote Sensing, Ecological Niche Modelling, and Spatial Statistics. His main areas of research are: application of new technologies on species’ distributions atlases, ecological modelling of species’ ranges, identification of biogeographical regions and species’ chorotypes, mapping and modelling road-kill hotspots, and spatial analyses of home ranges.
He has more than 10 years’ experience working in ecological niche models. He has authored >70 peer reviewed publications and he is since 2007 Chairman of the Mapping Committee of the Societas Herpetologica Europaea, where he is the PI of the NA2RE project (www.na2re.ismai.pt), the New Atlas of Amphibians and Reptiles of Europe
Teaches
- Ecological Niche Modelling Using R (ENMR)
- Advanced Ecological Niche Modelling Using R (ANMR)
- GIS And Remote Sensing Analyses With R (GARM)
Teaches
- Ecological Niche Modelling Using R (ENMR)
- Advanced Ecological Niche Modelling Using R (ANMR)
- GIS And Remote Sensing Analyses With R (GARM)