'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/

27 November 2017 - 1 December 2017 at Margam Discovery Centre, Wales, UK

Delivered by Prof. Duccio Rocchini and Dr. Luca Delucchi

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.

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.

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

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

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

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

Day 5: Throughput scripting in bash and python.

Email [log in to unmask] for more details or visits www.prinformatics.com

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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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