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'STATS COURSE - Spatial analysis of ecological data using R'

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'STATS COURSE - Spatial analysis of ecological data using R'

Oliver Hooker
"Spatial analysis of ecological data using R"

Delivered by Prof. Jason Matthiopoulos, Dr. Jana Jeglinski, Dr. James
Grecian

http://prstatistics.com/course/spatial-analysis-of-ecological-data-using-r-spae-2/

This course will run from 21st – 27th November 2016 at SCENE field
station, Loch Lomond national park, Scotland
The course will cover the concepts and R tools that can be used to
analyse spatial data in ecology covering elementary and advanced spatial
analysis techniques applicable to both plants and animals. We will
investigate analyses appropriate to transect (e.g. line surveys,
trapping arrays), grid (e.g. occupancy surveys) and point data (e.g.
telemetry). The focal questions will be on deriving species
distributions, determining their environmental drivers and quantifying
different types of associated uncertainty. Novel methodology for
generating predictions will be introduced. We will also address the
challenges of applying the results of these methods to wildlife
conservation and resource management and communicate the findings to
non-experts.

Course content is as follows

Day 1: Elementary concepts
Module 1 Introductory lectures and practical; this will cover the key
questions in spatial ecology, the main types of data on species
distributions, concepts and challenges and different types of
environmental data, concepts and challenges; useful concepts from
statistics; Generalised Linear Models
Module 2 GIS tools in R: Types and structure of spatial objects in R,
generating and manipulating spatial objects,
projections and transformations, cropping and masking spatial objects,
extracting covariate data and other simple
GIS operations in R, optionally plotting simple maps

Day 2: Overview of basic analyses
Module 3 Density estimation, Spatial autocorrelation, Smoothing, Kernel
Smoothers, Kriging, Trend-fitting (linear, generalised linear,
generalised additive models)
Module 4 Habitat preference, Resource selection functions, MaxEnt:
What’s it all about? Overview and caveats related to Niche models

Day 3: Challenging problems
Module 5 Analysing grid data, Poisson processes, Occupancy models,
Use-availability designs
Module 6 Analysing telemetry data, Presence-only data, Spatial and
serial autocorrelation, Partitioning variation by
mixed effects models

Day 4: Challenging problems
Module 7 Analysing transect data, Detection functions for point and line
transects, Using covariates in transect models. Afternoon for catch up
and/or excursion

Day 5: Challenging problems
Module 8 Advanced methods, Generalised Estimation Equations for
difficult survey designs, Generalised additive
models for habitat preference, Dealing with boundary effects using soap
smoothers, Spatial point processes with INLA

Day 6: Delivering advice
Module 9 Prediction, Validation by resampling, Generalised Functional
Responses for species distribution, Quantifying uncertainty, Dealing
with the effects of population density
Module 10 Applications, Designing protected areas, thinking about
critical habitat, Representing uncertainty

Day 7: Hands-on problem solving
Module 11 Round table discussions, About 4 groups, each of 5-10 people
working on a particular problem.

This 7 day course costs £630 for course only including lunch or £965
all inclusive, including all accommodation and meals.

Please email any inquiries to [hidden email] or visit our
website www.prstatistics.com

Please feel free to distribute this material anywhere you feel is
suitable

Upcoming courses - email for details [hidden email]
1. ADVANCES IN SPATIAL ANALYSIS OF MULTIVARIATE ECOLOGICAL DATA (July)
2. INTRODUCTION TO BIOINFORMATICS USING LINUX (August)
3. GENETIC DATA ANALYSIS / EXPLORATION USING R (August)
4. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (August)
5. INTRODUCTION TO PYTHON FOR BIOLOGISTS (October)
6. LANDSCAPE GENETIC DATA ANALYSIS USING R (October)
7. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS
(October)
8. PHYLOGENETIC DATA ANALYSIS USING R (October/November)
9. ADVANCING IN STATISTICAL MODELLING USING R (December)
10. MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R
(January)
11. ADVANCED PYTHON FOR BIOLOGISTS (February)
12. NETWORK ANALYSIS FOR ECOLOGISTS USING R (March)
13. INTRODUCTION TO GEOMETRIC MORPHOMETRICS USING R (June)

Dates still to be confirmed - email for details
[hidden email]
• STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R
• INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS
• BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS

Oliver Hooker
PR Statistics



--
Oliver Hooker
PR statistics

3/1
128 Brunswick Street
Glasgow
G1 1TF

+44 (0) 7966500340

www.prstatistics.com
www.prstatistics.com/organiser/oliver-hooker/

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