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SDMR06

Species Distribution Modelling (SDMs) and Ecological Niche Modelling (ENMs)

Species Distribution Modelling (SDMs) and Ecological Niche Modelling (ENMs)

Learn ENM and SDM modelling in R. Apply tools like Maxent and Biomod2 to predict species distributions and environmental niches.

  • Duration: 5 Days, 8 hours per day
  • Next Date: September 22-26 2025
  • Format: Live Online Format

£480Registration Fee

£430Early Bird Fee (EARLY BIRD SOLD OUT )

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Species Distribution Modelling (SDMs) and Ecological Niche Modelling (ENMs)

Delivered remotely (Portugal) , Portugal

Learn ENM and SDM modelling in R. Apply tools like Maxent and Biomod2 to predict species distributions and environmental niches.

£430.00 – £480.00
SSTM02

Spatial and Spatial-Temporal Modelling Using R-INLA

Spatial and Spatial-Temporal Modelling Using R-INLA

Bayesian modelling of spatial data using R-INLA. Learn to fit, interpret, and visualise spatio-temporal models.

  • Duration: 5 Days, 7 hours per day
  • Next Date: September 22-26, 2025
  • Format: Live Online Format

£500Registration Fee

£450Early Bird Fee (EARLY BIRD SOLD OUT)

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Spatial and Spatial-Temporal Modelling Using R-INLA

Delivered remotely (United Kingdom) Western European Time, United Kingdom

Bayesian modelling of spatial data using R-INLA. Learn to fit, interpret, and visualise spatio-temporal models.

£500.00

BIAC05

Bioacoustics Data Analysis

Bioacoustics Data Analysis

Analyse animal acoustic signals in R. Learn spectrograms, annotations, and bioacoustic workflows.

  • Duration: 5 Days, 4 hours per day
  • Next Date: October 6-10, 2025
  • Format: Live Online Format

£400Registration Fee

£360Early Bird Fee (EARLY BIRD SOLD OUT)

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Bioacoustics Data Analysis

Delivered remotely (United Kingdom) Western European Time, United Kingdom

Analyse animal acoustic signals in R. Learn spectrograms, annotations, and bioacoustic workflows.

£360.00 – £400.00
IMLR04

Introduction to Machine Learning

Introduction to Machine Learning

Learn machine learning in R with hands-on training. Covers supervised and unsupervised models, tuning, evaluation, and interpretability.

  • Duration: 5 Days, 8 hours per day
  • Next Date: October 13-17, 2025
  • Format: Live Online Format

£450Registration Fee

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Introduction to Machine Learning

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Learn machine learning in R with hands-on training. Covers supervised and unsupervised models, tuning, evaluation, and interpretability.

£450.00
BMME01

Bayesian Multilevel Modelling using brms for Ecologists (COURSE FULL)

Bayesian Multilevel Modelling using brms for Ecologists (COURSE FULL)

Master Bayesian multilevel models in R with brms. Learn GLMs, priors, spatial/temporal autocorrelation, and species distribution modelling.

  • Duration: 10 Days, 4 hours per day
  • Next Date: October 20-24 & 27-31, 2025
  • Format: Live Online Format

£450Registration Fee

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Bayesian Multilevel Modelling using brms for Ecologists (COURSE FULL)

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Learn SEM and causal inference in R. Use DAGs, latent variables, and path models for ecological analysis.

£450.00

MSMS05

Model Selection and Model Simplification (COURSE FULL)

Model Selection and Model Simplification (COURSE FULL)

Model Selection and Simplification in R – a live online course covering model fit, nested model comparison, cross-validation, information criteria (AIC/BIC), and variable selection methods including stepwise, ridge, Lasso, and elastic net.

  • Duration: 2 Days, 4 hours per day
  • Next Date: November 3-4, 2025
  • Format: Live Online Format

£250Registration Fee

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Model Selection and Model Simplification (COURSE FULL)

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Model Selection and Simplification in R – a live online course covering model fit, nested model comparison, cross-validation, information criteria (AIC/BIC), and variable selection methods including stepwise, ridge, Lasso, and elastic net.

£250.00
NWAE01

Network Analysis for Ecologists

Network Analysis for Ecologists

Use R to analyse ecological networks. Learn metrics, simulation, and visualisation with igraph.

  • Duration: 2 Days, 3 hours per day
  • Next Date: November 4-5, 2025
  • Format: Live Online Format

£250Registration Fee

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Network Analysis for Ecologists

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Use R to analyse ecological networks. Learn metrics, simulation, and visualisation with igraph.

£250.00