[R-sig-eco] Species distribution modelling with Bayesian statistics in R (SDMB03)

[Oliver Hooker]

Species distribution modelling with Bayesian statistics in R (SDMB03)

https://www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb03/
6 December 2021 - 10 December 2021
Course Overview:

Bayesian Additive Regression Trees (BART) are a powerful machine learning
technique with very promising potential applications in ecology and
biogeography in general, and in species distribution modelling (SDM) in
particular. Unlike most other SDM methods, BART models can generally
provide a well-balanced performance regarding both main aspects of
predictive accuracy, namely discrimination (i.e. distinguishing presence
from absence localities) and calibration (i.e., having predicted
probabilities reflect the species' gradual occurrence frequencies).
BART can generate accurate predictions without overfitting to noise or to
particular cases in the data. As it is a cutting-edge technique in this
field, BART
is not yet routinely included in SDM workflows or in ensemble modelling
packages. This course will include 1) an introduction or refresher on the
essentials of the R language; 2) an introduction or refresher on species
distribution modelling; 3) an overview of SDM methods of different
complexity, including regression-based and machine-learning (both Bayesian
and non-Bayesian) methods; 4) SDM building and block cross-validation
focused on different aspects of model performance, including discrimination
and calibration or reliability. We will use R packages
'embarcadero', 'fuzzySim' and 'modEvA' to see how
BART can perform well when all these aspects are equally important, as well
as to identify
relevant predictors, map prediction uncertainty, plot partial dependence
curves with Bayesian credible intervals, and map relative probability of
presence regarding particular predictors. Students will apply all these
techniques to their own species distribution data, or to example data that
will be provided during the course.
Email oliverhooker using prstatistics.com with any questions
Up-coming courses

*GIS AND REMOTE SENSING ANALYSES WITH R (GARM01)*

Online (live and recorded) 14th February 2022 - 18th February 2022

£400 reduced from £450

https://www.prstatistics.com/course/gis-and-remote-sensing-analyses-with-r-garm01/

*ADAPTING TO THE RECENT CHANGES IN R SPATIAL PACKAGES (SF, TERRA, PROJ
LIBRARY) (PROJ02)*

Online (live and recorded) 13th January 2022 - 14th January 2022

£275 reduced from £300

https://www.prstatistics.com/course/adapting-to-the-recent-changes-in-r-spatial-packages-sf-terra-proj-library-proj02/


*BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS
(BIAC02)*

Online (live and recorded) 22nd March 2022 - 24th March 2022

£280 reduced from £350

https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac02/



*MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES IN R WITH THE VEGAN
PACKAGE (VGNR04)*

12th September 2022 - 16th September 2022

£400 reduced from £480

https://www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr04/



*TIME SERIES DATA ANALYSIS (TSDA01)*

Online (live and recorded) 14 December 2021 - 17 December 2021

£400 reduced from £450

https://www.prstatistics.com/course/time-series-data-analysis-tsda01/



*STABLE ISOTOPE MIXING MODELS USING SIBER, SIAR, MIXSIAR (SIMM08)*

Online (live and recorded) 1st February 2022 - 4th February 2022

£430 reduced from £480

https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm08/



*BAYESIAN DATA ANALYSIS (BADA01)*

Online (live and recorded) 10th January 2022 - 14th January 2022

£375 reduced from £450

https://www.prstatistics.com/course/bayesian-data-analysis-bada01/



*INTRODUCTION TO STAN FOR BAYESIAN DATA ANALYSIS (ISBD01)*

Online (live and recorded) 18th January 2022 - 20th January 2022

£200 reduced from £275.00

https://www.prstatistics.com/course/introduction-to-stan-for-bayesian-data-analysis-isbd01/



*MAKING BEAUTIFUL AND EFFECTIVE MAPS IN R (MAPR03)*

Online (live and recorded) 9th February 2022 - 10th February 2022

£275 reduced from £300.00

https://www.prstatistics.com/course/making-beautiful-and-effective-maps-in-r-mapr03/

*ADVANCES IN SPATIAL ANALYSIS OF MULTIVARIATE ECOLOGICAL DATA: THEORY AND
PRACTICE (MVSP04)*

Online (pre-recorded with live support) 25th April 2022 - 29th April 2022

£375 reduced from £400

https://www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp04/



*FREE RECORDED 1 DAY INTRO TO R AND R STUDIO (FIRR01) *

Online (recorded) 29 October 2021

Free

https://www.prstatistics.com/course/free-1-day-intro-to-r-and-r-studio-firr01/



*INTRODUCTION TO GENERALISED LINEAR MODELS USING R AND RSTUDIO (IGLM04)*

Online (live and recorded) 3 November 2021 - 4 November 2021

£200 reduced from £275.00

https://www.prstatistics.com/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm04/

*INTRODUCTION TO MIXED MODELS USING R AND RSTUDIO (IMMR05)*

Online (live and recorded) 10 November 2021 - 11 November 2021

£200 reduced from £275.00

https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr05/

*INTRODUCTION TO MACHINE LEARNING AND DEEP LEARNING USING R (IMDL02) *

Online (live and recorded) 17 November 2021 - 18 November 2021

£200 reduced from £275.00

https://www.prstatistics.com/course/introduction-to-machine-learning-and-deep-learning-using-r-imdl02/

*MODEL SELECTION AND MODEL SIMPLIFICATION (MSMS02)*

Online (live and recorded) 24 November 2021 - 25 November 2021

£200 reduced from £275.00

https://www.prstatistics.com/course/model-selection-and-model-simplification-msms02/



*SPECIES DISTRIBUTION MODELLING WITH BAYESIAN STATISTICS IN R (SDMB03)*

Online (live and recorded) 6 December 2021 - 10 December 2021

https://www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb03/



*SPECIES DISTRIBUTION MODELING USING R (SDMR04)*

Online (live and recorded) 2nd February 2022 - 10th February 2022

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



*INTRODUCTION TO ECO-PHYLOGENETICS AND COMPARATIVE ANALYSES USING R
(ECPH01)*

Online (live and recorded) 7th February 2022 - 11th February 2022

https://www.prstatistics.com/course/introduction-to-eco-phylogenetics-and-comparative-analyses-using-r-ecph01/



*FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION
(FEER02)*

Online (live and recorded) 5th September 2022 - 9th September 2022
https://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer02/
-- 
Oliver Hooker PhD.
PR statistics

	[[alternative HTML version deleted]]