Advanced Ecological Niche Modelling Using R (ANMRPR)
1st January 2030
£480.00
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.
Course Details
Last up-dated – 29:01:2021
Duration – Approx. 35 hours
ECT’s – Equal to 3ECT’s
Language – English
Teaching Format
Assumed quantitative knowledge
Assumed computer background
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
Cancellations/refunds are accepted as long as the course materials have not been accessed,.
There is a 20% cancellation fee to cover administration and possible bank fess.
If you need to discuss cancelling please contact oliverhooker@prstatistics.com.
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)
Day 1
Approx. 7 hours
- ENM guide: how to model.
- ENM R packages.
- Sources of environmental variables using dismo package.
- Getting species records with rgbif package.
Day 2
Approx. 7 hours
- 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.
Day 3
Approx. 7 hours
- 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.
Day 4
Approx. 7 hours
- MESS practice with Biomod2 package.
- VirtualSpecies SDMvspecies packages.
- MIGCLIM practice.
Day 5
- Mechanistic model NicheMapper packages.
Dr. Neftali Sillero
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)