[R-sig-eco] 'STATS COURSE - Spatial analysis of ecological data using R'
Oliver Hooker
oliverhooker at prstatistics.com
Tue Jul 12 11:20:30 CEST 2016
"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 oliverhooker at prstatistics.com or visit our
website www.prstatistics.com
Please feel free to distribute this material anywhere you feel is
suitable
Upcoming courses - email for details oliverhooker at prstatistics.com
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
oliverhooker at prstatistics.com
• 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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