[R-sig-Epi] Species Distribution Modeling using R (SDMR04)

[Oliver Hooker]

Species Distribution Modeling using R (SDMR04)



https://www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr04/



If you are interested in gaining the introductory knowledge required to
work with SDMs, whether you be a student, postdoc, or practicing scientist,
this course is for you. This 8 half day course will provide participants
with the background knowledge and skills needed to get started in the use
of species distribution models (SDMs) for applied and basic research. The
course will focus on (1) the preparation of required spatial datasets
(biological observations and environmental predictors); (2) practical
considerations in the development, application, and interpretation of SDMs;
and (3) fitting and evaluating SDMs using different statistical approaches
– all using R.



Using a combination of lectures, coding exercises in R, and case studies,
participants will learn to:

Understand background theory and model assumptions

Identify, manipulate and prepare spatial datasets for SDMs

Fit, interpret, and evaluate SDMs using several statistical methods (e.g.,
Maxent, Mahalanobis distance, generalized linear models, boosted regression
trees)

Project SDMs to predict climate change impacts, etc.



The course is entirely R-based and while techniques of working with spatial
data in R will be covered in detail, prior experience with R is highly
recommended. If you are new to R, this course will be of most use to you if
you work through a few tutorials to understand the basics of R programming
before the start of the course. Students are highly encouraged to bring
their own data sets, but this is not required for participation.



Course material will be presented by Matt Fitzpatrick who has published
broadly in the use of SDMs for applied and basic science.



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 – Eastern Daylight Time – however all sessions will be recorded
and made available allowing attendees from different time zones to follow a
day behind with an additional 1/2 days support after the official course
finish date (please email oliverhooker using prstatistics.com for full details or
to discuss how we can accommodate you).

-- 
Oliver Hooker PhD.
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