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Melanie Colón

Introduction to remote sensing and GIS for ecological applications (and a list of other courses)

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Delivered by Prof. Duccio Rocchini and Dr. Luca Delucchi

http://www.prstatistics.com/course/introduction-to-remote-sensing-and-gis-
for-ecological-applications-irms01/

This course will run from 27th November - 1st December at Margam Discovery
Centre, Wales

OVERVIEW
The course will deal with different aspects related to the use of remote
sensing and GIS in spatial ecology by using the Free and Open Source
Software GRASS GIS coupled with R. By the end of this 5-day practical
course, attendees will have the capacity to deal with ecological patterns
and processes by using GIS and remote sensing algorithms. The increasing
availability of open ecological and geographical data through networks such
as the Global Biodiversity Information Facility (GBIF, http://www.gbif.org)
or the Data Observation Network for Earth (DataONE) federated data archive
(http://www.dataone.org) makes it increasingly possible to test cutting-
edge ecological theories. In using a shared open-source code for testing
these ecological theories, researchers can be sure that their results are
reliable and also that the code they have used is robust. Attendees will be
able to process spatial and ecological data by free and open source
algorithms. The course will be mainly practical, but grounded on robust
theory. All the analyses will be performed in GRASS GIS and the code will
be shared with attendees.

INTENDED AUDIENCE
This course is oriented to MSc and PhD students and to Post-Doc researchers
aiming at increasing their skills in self-programming GIS related
algorithms.

Course content is as follows

Monday 27th
Day 1: Introduction to GIS and Remote Sensing concepts. a theoretical
introduction to the main GIS and RS concepts.

Tuesday 28th
Day 2: GRASS GIS: Introduction to the GRASS GIS software; Open source
coding; main GIS analysis possibilities.

Wednesday 29th
Day 3: Spatial Ecology and application of RS algorithms to solve ecological
issues.

Thursday 30th
Day 4: Use the GRASS GIS temporal framework to analyse big data.

Friday 1st
Day 5: Throughput scripting in bash and python.Please email any inquiries
to oliverhooker@prstatistics.com or visit our website www.prstatistics.com

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

PR statistics upcoming courses email for details
oliverhooker@prstatistics.com

1.    MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE
19th – 23rd June, Canada, Prof. Subhash Lele, Dr. Peter Solymos
http://www.prstatistics.com/course/multivariate-analysis-of-spatial-
ecological-data-using-r-mase01/

2.    TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME
26th – 30th June, Canada, Dr. Andrew Parnell
http://www.prstatistics.com/course/time-series-models-foe-ecologists-tsme01/

3.    META-ANALYSIS IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCES
#METR01
24th – 28th July, Scotland, Prof. Julia Koricheva, Prof. Elena Kulinskaya
http://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-
environmental-sciences-metr01/

4.    SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R #SPAE
7th – 12th August 2017, Scotland, Prof. Jason Matthiopoulos, Dr. James
Grecian
http://www.prstatistics.com/course/spatial-analysis-ecological-data-using-r-
spae05/

5.    ECOLOGICAL NICHE MODELLING USING R #ENMR
16th – 20th October 2017, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr01/

6.    GENETIC DATA ANALYSIS AND EXPLORATION USING R #GDAR
23rd – 27th October, Wales, Dr. Thibaut Jombart, Zhian Kavar
http://www.prstatistics.com/course/genetic-data-analysis-exploration-using-
r-gdar03/

7.    STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY
BIOLOGISTS USING R #SEMR
23rd – 27th October, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck
http://www.prstatistics.com/course/structural-equation-modelling-for-
ecologists-and-evolutionary-biologists-semr01/

8.    LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R #LNDG
6th – 10th November, Wales, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg02/

9.    APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME
20th - 25th November 2017, Scotland, Prof. Jason Matthiopoulos, Dr. Matt
Denwood
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme03/

10.    INTRODUCTION REMOTE SENSING AND GIS APPLICATIONS FOR ECOLOGISTS
#IRMS
27th Nov – 1st Dec, Wales, Dr Duccio Rocchini, Dr. Luca Delucchi
http://www.prstatistics.com/course/introduction-to-remote-sensing-and-gis-
for-ecological-applications-irms01/

11.    ADVANCING IN STATISTICAL MODELLING USING R #ADVR
11th – 15th December 2017, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr.
Ane Timenes Laugen,
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-
advr07/

12.    INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
29th Jan – 2nd Feb 2018, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-
modelling-using-r-ibhm02/

13.    ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME
19th – 23rd February 2018, Wales, Dr Luca Borger, Dr. John Fieberg

14.    GEOMETRIC MORPHOMETRICS USING R #GMMR
5th – 9th June 2017, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr.
Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/


15.    FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND
COMPUTATION #FEER
5th – 9th March 2018, Scotland, Dr. Francesco de Bello, Dr. Lars
Götzenberger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

16.    ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING
R #MVSP
Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be
confirmed

17.    STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
Dr. Andrew Parnell, Dr. Andrew Jackson – Date and location to be confirmed

18.    NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
Dr. Marco Scotti - Date and location to be confirmed

19.    MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV0
Prof David Warton - Date and location to be confirmed

20.    PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL
Dr. Emmanuel Paradis – Date and location to be confirmed


PR informatics upcoming courses email for details
oliverhooker@prinformatics.com

1.    CODING, DATA MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR
EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS #CDSR
15th - 19th May, Scotland Dr. Aline Quadros
http://www.prinformatics.com/course/coding-data-management-and-shiny-
applications-using-rstudio-for-evolutionary-biologists-and-ecologists-
cdsr01/

2.    BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS #BIGB
3rd – 7th July 2017, Scotland, Dr. Nic Blouin, Dr. Ian Misner
http://www.prinformatics.com/course/bioinformatics-for-geneticists-and-
biologists-bigb02/

3.    INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL
16th – 20th October, Scotland, Dr. Martin Jones
http://www.prstatistics.com/course/introduction-to-bioinformatics-using-
linux-ibul02/

4.    INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
27th Nov – 1st Dec, Wales, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb04/

5.    DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP
11th – 15th December 2017, Wales, Dr. Martin Jones
http://www.prinformatics.com/course/data-visualisation-and-manipulation-
using-python-dvmp01/

6.    EUKARYOTIC METABARCODING
20th – 24th January 2018, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

--
Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
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prstatistics.com/organiser/oliver-hooker/

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