INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R - FREE ACCOMMODATION AVAILABLE

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INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R - FREE ACCOMMODATION AVAILABLE

Oliver Hooker
INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISPE02)

FREE ACCOMMODATION AVAILABLE

PLEASE SHARE!

https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe02/

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:
·        Understand the basic concepts of spatial data analysis
·        Know R’s spatial capabilities
·        Understand how to import a range of spatial data sources into R
·        Be confident with using R’s command-line interface (CLI) for
spatial data processing
·        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)
·        Understand coordinate reference systems (CRSs), be able to
decide which CRS to use, and how to reproject spatial data
·        Know how to visualize the results of a spatial analysis in
the form of static and interactive maps
·        Have the confidence to apply spatial analysis skills to their
own projects

Email [hidden email]

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/

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/

9.       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/

10.   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/

11.   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/

12.   June 17th – 21st
ADVANCED PYTHON FOR BIOLOGISTS (APYB04)
Glasgow, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb04/

13.   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/

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/

--
Oliver Hooker PhD.
PR statistics

2019 publications;

A way forward with eco evo devo: an extended theory of resource
polymorphism with postglacial fishes as model systems. Biological
Reviews (2019).

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