Fuzzy logic to address gradual patterns in species distribution and diversity (FLDD01)
https://www.prstatistics.com/course/fuzzy-logic-to-address-gradual-patterns-in-species-distribution-and-diversity-fldd01/
This course will be delivered by Dr. Marcia Barbossa from the 11th-14th May in Glasgow City Centre.
Course Overview:
Live beings are constantly in motion and occur with varying frequency across space. Hence, categorical occurrence maps are always incomplete and oversimplified representations of species’ actual distributions. Analyses that build on such categorical data, such as most diversity, overlap and (dis)similarity indices, overlook important gradations in species occurrence. Fuzzy logic is a valuable tool to formally address the locational uncertainty and gradual variations that characterize biodiversity patterns. This course will show how fuzzy logic can be incorporated in ecological analyses to improve the portrayal, understanding and prediction of species distribution patterns, with implications on (macro)ecological interaction, global change, biodiversity and biotic regionalization studies. We will work with a set of species distribution modelling methods that derive presence probability values (e.g. logistic regression, generalized additive models, tree-based classification and regression methods), which can be mathematically converted to fuzzy membership values. We will then see how these values allow more direct comparisons across species, regions and time periods. Finally, we will see how diversity and (dis)similarity indices, which normally require binary presence-absence data, can be generalized to work with fuzzy (degree of) occurrence data for both species and regions.
Monday 11th – Classes from 09:30 to 17:30
Introduction to species distributions.
Types of distribution data: Presence-only, presence-absence, range maps.
Facing uncertainty in species distributions.
Introduction to modelling species distributions.
Practical: Introduction to the R software and programming language.
Discussion and conclusions.
Tuesday 12th – Classes from 09:30 to 17:30
Presence-only, presence-background and presence-absence modelling methods.
Overview of R packages for modelling species distributions.
fuzzySim introductory practice: Obtaining distance-based fuzzy distribution data.
Species distribution modelling with the favourability function.
fuzzySim modelling practice (with own or provided data).
Discussion and conclusions.
Wednesday 13th – Classes from 09:30 to 17:30
fuzzySim practice: Calculating fuzzy measures of similarity and diversity.
Calculating “quantum” measures of diversity and distributional change.
Practical with own or provided data.
Evaluating the fit and predictive capacity of distribution models.
modEvA practice: Analysing and evaluating fuzzy distribution data.
Discussion and conclusions.
Thursday 14th – Classes from 09:30 to 16:30
Practical with own or provided data (wrap-up).
Short talk preparation.
Students’ short talks.
Students’ short talks (continued).
Final discussion and conclusions.
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Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRstatistics.com/consultancy (Statistical and bioinformatics consultancy in all fields)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition)
1. February 24th – 28th
MOVEMENT ECOLOGY (MOVE03)
Margam Discovery Centre, Wales, Dr. Luca Borger, Dr Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move03/
2. March 23rd – 27th
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING USING R (IBHM04)
Glasgow, Scotland, Dr Andrew Parnell
https://www.psstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm04/
3. March 30th – April 3rd
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS IN R (IPSY03)
Glasgow, Scotland, Dr Dale Barr
https://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy03/
4. May 4th – May 8th
PYTHON FOR DATA SCIENCE, MACHINE LEARNING, AND SCIENTIFIC COMPUTING (PDMS02)
Glasgow, Scotland, Dr. Mark Andrews
https://www.prinformatics.com/course/python-for-data-science-machine-learning-and-scientific-computing-pdms02/
5. May 11th – 15th
BIOINFORMATICS WITH LINUX WITH PYTHON (BILP01)
Glasgow, Scotland, Dr. Martin Jones
https://www.prinformatics.com/course/introduction-to-linux-workflows-for-biologists-ibul04/
6. May 11th – 15th
FORMALIZING UNCERTAINTY: FUZZY LOGIC IN SPECIES DISTRIBUTION AND DIVERSITY PATTERNS (FLDM01)
Glasgow, Scotland, Dr. Marcia Barbosa
https://www.prstatistics.com/course/formalizing-uncertainty-fuzzy-logic-in-species-distribution-and-diversity-patterns-fldm01/
7. May 18th – 22nd
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck, Dr. Jim (ames) Grace
https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/
8. May 25th – 29th
GENERALISED LINEAR (MIXED) (GLMM), NONLINEAR (NLGLM) AND GENERAL ADDITIVE MODELS (MIXED) (GAMM) (GNAM01)
Glasgow, Scotland, Dr Mark Andrews
https://www.psstatistics.com/course/generalised-linear-glm-nonlinear-nlglm-and-general-additive-models-gam-gnam02/
9. June 1st – 5th
LANDSCAPE GENETIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg04/
10. June 8th – 12th
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM06)
Glasgow, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson
www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm06/
11. June 17th – 21st
ADVANCED PYTHON FOR BIOLOGISTS (APYB04)
Glasgow, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb04/
12. July 20th – 24th
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME06)
Glasgow, Scotland, Dr Matt Denwood
https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme06/
13. July 27th – 31st
SPECIES DISTRIBUTION MODELLING (DBMR01)
Glasgow, Scotland, Dr Matt Fitzpatrick
www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/
14. October 5th – 9th
ECOLOGICAL NICHE MODELLING USING R (ENMR04)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr04/
15. October 11th – 16th
ADVANCED ECOLOGICAL NICHE MODELLING USING R (ABNMR01)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/
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