[MARMAM] 'Spatial analysis of ecological data using R' - STATS COURSE

Oliver Hooker oliverhooker at prstatistics.com
Tue Aug 30 05:45:28 PDT 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 – 26th 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 and is 
therefore highly relevant to researchers studying the ecology and 
spatial patterns/movements of marine mammals. 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

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.	INTRODUCTION TO PYTHON FOR BIOLOGISTS (October)
2.	LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October)
3.	APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS 
(October)
4.	PHYLOGENETIC DATA ANALYSIS USING R (October/November)
5.	ADVANCING IN STATISTICAL MODELLING USING R (December)
6.	MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R 
(January)
7.	NETWORK ANAYLSIS FOR ECOLOGISTS USING R (March)
8.	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
•	GENETIC DATA ANALYSIS USING R
•	INTRODUCTION TO BIOINFORMATICS USING LINUX
•	INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING


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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