Introduction to spatial analysis of ecological data using R (ISPE02) FREE ACCOMMODATION AVAILABLE
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe02/
Delivered by Dr Jakub Nowasad frOm 3rd-7th February 2020 in Glasgow City Centre, Scotland.
AND
Movement ecology (MOVE03)
https://www.prstatistics.com/course/movement-ecology-move03/
Delivered by Prof Luca Borger and Prof Rory Wilson from 17th-21st February 2020 at Margam Discovery Centre, Wales.
Introduction to spatial analysis of ecological data using R (ISPE02) FREE ACCOMMODATION AVAILABLE
Course overview:
The aim of the course is to introduce you to a spatial data processing, analysis, and visualization capabilities of the R programming language. It will teach a range of techniques using a mixture of lectures, computer exercises and case studies.
By the end of the course participants should:
1) Understand the basic concepts of spatial data analysis
2) Know R’s spatial capabilities
3) Understand how to import a range of spatial data sources into R
4) Be confident with using R’s command-line interface (CLI) for spatial data processing
5) Be able to perform a range of attribute operations (e.g. subsetting and joining), spatial operations (e.g. distance relations, topological relations), and geometry operations (e.g. clipping, aggregations)
6) Understand coordinate reference systems (CRSs), be able to decide which CRS to use, and how to reproject spatial data
7) Know how to visualize the results of a spatial analysis in the form of static and interactive maps
8) Have the confidence to apply spatial analysis skills to their own projects
Movement ecology (MOVE03)
Course Overview:
The course will cover the concepts, technology and software tools that can be used to analyse movement data (from ringing/CMR to VHF/GPS to novel biologging data) in ecology and evolution, covering analysis techniques applicable broadly to most taxa, from micro-organisms to plants and animals. We will cover elementary and advanced analysis and modelling techniques broadly applicable across taxa, highlighting the advantages of a unified Movement Ecology framework. We will provide the necessary bases in ecology (especially behavioural ecology), physics and mathematics/statistics, to be able to identify for any specific research question the most appropriate study species, logging technology (incl. attachment methods), and statistical/mathematical modelling approach. We will specifically address the challenges and opportunities at each of the steps of the proposed ‘question-driven approach’, combining hands-on sessions with new biologging technology with computer-based practicals in R and specialized software for biologging data developed by the SLAM lab at Swansea University. We will also address the challenges of applying the results of the analyses to applied management problems and communicate the findings to non-experts.
Email [log in to unmask]
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. January 20th – 24th
R4ALL – INTRODUCTION TO R (R4ALL01) Introductory course to R, RStudio and statistics for Biologists
FREE ACCOMMODATION AVAILABLE
Glasgow, Scotland, Dr Andrew Beckerman, Dr. Dylan Childs
https://www.prstatistics.com/course/r-4-all-andrew-beckerman-dylan-childs-r4ll01/
2. January 22nd – 24th
META-ANALYSIS USING R (META01)
FREE ACCOMMODATION AVAILABLE
Glasgow, Scotland, Dr Thomas Pollet
https://www.psstatistics.com/course/meta-analysis-using-r-meta01/
3. February 3rd – 7th
INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISPE02)
FREE ACCOMMODATION AVAILABLE
Glasgow, Scotland, Dr. Jakub Nowosad
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe02/
4. February 24th – 28th
MOVEMENT ECOLOGY (MOVE03)
Margam Discovery Centre, Wales, Dr. Luca Borger, Dr Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move03/
5. March 16th – 20th
POPULATION GENETICS INFERENCE WITH ‘MIGRATE’ (PGMG01)
Glasgow, Scotland, Prof. Peter Beerli
https://www.prstatistics.com/course/population-genetics-inference-with-migrate-pgmg01/
6. March 23rd – 27th
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING USING R (IBHM04)
FREE ACCOMMODATION AVAILABLE
Glasgow, Scotland, Dr Andrew Parnell
https://www.psstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm04/
7. March 30th – April 3rd
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS IN R (IPSY03)
FREE ACCOMMODATION AVAILABLE
Glasgow, Scotland, Dr Dale Barr
https://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy03/
8. May 4th – May 8th
PYTHON FOR DATA SCIENCE, MACHINE LEARNING, AND SCIENTIFIC COMPUTING (PDMS02)
FREE ACCOMMODATION AVAILABLE
Glasgow, Scotland, Dr. Mark Andrews
https://www.prinformatics.com/course/python-for-data-science-machine-learning-and-scientific-computing-pdms02/
9. May 11th – 15th
FORMALIZING UNCERTAINTY: FUZZY LOGIC IN SPECIES DISTRIBUTION AND DIVERSITY PATTERNS (FLDM01)
FREE ACCOMMODATION AVAILABLE
Glasgow, Scotland, Dr. Marcia Barbosa
https://www.prstatistics.com/course/formalizing-uncertainty-fuzzy-logic-in-species-distribution-and-diversity-patterns-fldm01/
10. May 18th – 22nd
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02)
FREE ACCOMMODATION AVAILABLE
Glasgow, Scotland, Dr. Jonathan Lefcheck, Dr. Jim (ames) Grace
https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/
11. May 25th – 29th
GENERALISED LINEAR (MIXED) (GLMM), NONLINEAR (NLGLM) AND GENERAL ADDITIVE MODELS (MIXED) (GAMM) (GNAM01)
FREE ACCOMMODATION AVAILABLE
Glasgow, Scotland, Dr Mark Andrews
https://www.psstatistics.com/course/generalised-linear-glm-nonlinear-nlglm-and-general-additive-models-gam-gnam02/
12. June 8th – 12th
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM06)
FREE ACCOMMODATION AVAILABLE
Glasgow, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson
www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm06/
13. June 17th – 21st
ADVANCED PYTHON FOR BIOLOGISTS (APYB04)
FREE ACCOMMODATION AVAILABLE
Glasgow, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb04/
14. July 20th – 24th
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME06)
FREE ACCOMMODATION AVAILABLE
Glasgow, Scotland, Dr Matt Denwood
https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme06/
15. October 5th – 9th
ECOLOGICAL NICHE MODELLING USING R (ENMR04)
FREE ACCOMMODATION AVAILABLE
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr04/
16. October 11th – 16th
ADVANCED ECOLOGICAL NICHE MODELLING USING R (ABNMR01)
FREE ACCOMMODATION AVAILABLE
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/
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