[R-sig-eco] Course on remote sensing - Introduction to remote sensing and GIS for ecological applications

Mon Sep 18 16:15:44 CEST 2017

This course will use a combination of R and Python.

Introduction to remote sensing and GIS for ecological applications 
(IRMS01)

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

Instructors:
Prof. Duccio Rocchini and Dr. Luca Delucchi

When:
27 November 2017 - 1 December 2017

Where:
Margam discovery centre, Wales, UK

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 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.

Course syllabus:

Monday 27th – Classes from 09:00 to 17:00
Day 1: Introduction to GIS and Remote Sensing concepts. a theoretical 
introduction to the main GIS and RS concepts.

Tuesday 28th – Classes from 09:00 to 17:00
Day 2: GRASS GIS: Introduction to the GRASS GIS software; Open source 
coding; main GIS analysis possibilities.

Wednesday 29th – Classes from 09:00 to 17:00
Day 3: Spatial Ecology and application of RS algorithms to solve 
ecological issues.

Thursday 30th – Classes from 09:00 to 17:00
Day 4: Use the GRASS GIS temporal framework to analyse big data.

Friday 1st – Classes from 09:00 to 16:00
Day 5: Throughput scripting in bash and python.If you have any questions 
please feel free to email
oliverhooker at prinformatics.com or visit www.prinformatics.com

Upcoming courses for 2017/2018 below

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/

2.	REPRODUCIBLE DATA SCIENCE FOR POPULATION GENETICS #RDPG
23rd – 27th October 2017, Wales, Dr. Thibaut Jombart, Zhian Kavar
https://www.prstatistics.com/course/reproducible-data-science-for-
population-genetics-rdpg01/

3.	STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY
BIOLOGISTS USING R #SEMR
23rd – 27th October 2017, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck
http://www.prstatistics.com/course/structural-equation-modelling-for-
ecologists-and-evolutionary-biologists-semr01/

4.	LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R #LNDG
6th – 10th November 2017, Wales, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg02/

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

6.	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/

7.	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/

8.	PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL
28th Jan – Feb 2nd 2018 Dr. Emmanuel Paradis
https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-
with-r-phyg-phyl02/

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

10.	GEOMETRIC MORPHOMETRICS USING R #GMMR
19th – 23rd February 2018, Scotland, Prof. Dean Adams, Prof. Michael
Collyer, Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/

11.	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/

12.	SPATIAL PRIORITIZATION USING MARXAN
5th - 9th March 2018, Wales, Jennifer McGowan
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

13.	ECOLOGICAL NICHE MODELLING USING R #ENMR
12th - 16th March 2018, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

14.	MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN
PACKAGE #VGNR
23rd – 27th April 2018, Scotland, Dr. Peter Solymos, Dr. Guillaume
Blanchet
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

15.	NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
9th – 13th April 2018, Scotland, Dr. Marco Scotti
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

16.	QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND
COMMUNITIES
30th April – 4th May 2018, Scotland, Dr. Dan Warren, Dr. Matt 
Fitzpatrick

17.	INTRODUCTION TO MIXED MODELS FOR ECOLOGISTS #IMMR
28th May – 1st June 2018, Canada, Prof Subhash Lele, Dr. Guillaume 
Blanchet

18.	MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV0
8th – 12th July 2018, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

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

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

21.	MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE
Prof. Subhash Lele, Dr. Peter Solymos - Date and location to be 
confirmed

22.	TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME
Dr. Andrew Parnell - Date and location to be confirmed

23.	SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R #METR
Prof. Jason Matthiopoulos – Date and location to be confirmed

24.	META-ANALYSIS IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCES #METR
Prof. Julia Koricheva, Prof. Elena Kulinskaya – Date and location to 
be confirmed

-- 
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.

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