*Advanced Species Distribution Modelling Using R (ASDM01)*

Elevate your ecological modelling skills with state-of-the-art species
distribution techniques in R.

https://www.prstats.org/course/advanced-species-distribution-modelling-using-r-asdm01/
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Why this course?

Species distribution modelling (SDM) is a cornerstone of modern ecology,
yet many practitioners rely on outdated or overly simplistic approaches.
This course equips researchers and professionals with advanced tools to
build robust, predictive distribution models—accounting for complex
ecological processes, bias in occurrence data, and spatiotemporal variation.
------------------------------
Duration:

5 Days, 8 hours per day
Next Date:

1st - 5th December 2025
Format:

Live Online Format
Cost:

First 10 places £430
Normal price £480
------------------------------
Course Description

This 5-day workshop offers an immersive dive into species distribution
modelling using R. Participants will explore cutting-edge methods including
ensemble models, presence-only techniques (e.g., Maxent), accounting for
sampling bias, spatial autocorrelation, and dynamic modelling across time.
Each session combines theory with hands-on R implementations, covering data
pre-processing, model selection, evaluation, transferability, and
interpretation. Participants are encouraged to bring their own datasets,
alongside the instructor-provided examples. A solid grounding in basic SDMs
and competent R skills are recommended.

This course is ideal for ecologists, conservation scientists, environmental
consultants, and postgraduate students seeking to enhance their modelling
toolkit and produce more accurate, actionable distribution forecasts.
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What You’ll Learn

   -

   How to choose appropriate SDM frameworks (presence–absence,
   presence-only, ensembles)
   -

   Techniques for handling sampling bias and spatial autocorrelation
   -

   Advanced evaluation metrics and model validation strategies
   -

   Integrating environmental predictors effectively for better inference
   -

   Strategies to improve SDM transferability across landscapes and time
   -

   Hands-on experience using R for dynamic and ensemble modelling

------------------------------

For further information or inquiries, please email *[email protected]*.

-- 
Oliver Hooker PhD.
PR stats

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