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Course on remote sensing - Introduction to remote sensing and GIS for ecological applications

Oliver Hooker, September 19, 2017
 

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@prinformatics.com or visit www.prinformatics.com

Upcoming courses for 2017/2018 below

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

  3. 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/

  4. 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/

  5. 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/

  6. 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/

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

  8. 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/

  9. ADVANCING IN STATISTICAL MODELLING USING R #ADVR 4th - 8th December 2017, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane Timenes Laugen, http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/

  10. 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/

  11. 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/

  12. 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/

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

  14. 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/

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

  17. 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/

  18. 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/

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

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

  21. INTRODUCTION TO MIXED MODELS FOR ECOLOGISTS #IMMR 14th - 18th May 2018, CANADA (QUEBEC) STILL to be confirmed, Prof Subhash Lele, Dr. Guillaume Blanchet

  22. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM 28th May – 1st June 2018, CANADA (QUEBEC) STILL to be confirmed Dr. Andrew Parnell, Dr. Andrew Jackson

  23. 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/

  24. EUKARYOTIC METABARCODING 23rd – 27th July 2018, Scotland, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

  25. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP Prof. Pierre Legendre, Dr. Olivier Gauthier - 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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