[Portugal] Fwd: Summer School on spatial and spatiotemporal computing: processing large-scale Earth observation (IfGI, University of Münster, Sept 1–7, 2019)

[Artur Gil]

Registrations for the 2019 Summer School on spatial and spatiotemporal
computing: processing large-scale Earth observation (University of
Münster, Sept 1–7, 2019) are now open. For more info see:

https://opengeohub.org/summer_school_2019


Registration deadline: 15th of February 2019 24:00 CET.

This summer school is limited to 65 participants. In the case of higher
number of applications invitations candidates will be selected based on
a ranking system, which is based on: solidarity, academic output and
contributions to the open source projects. To remove geographical bias,
participants coming from more distant areas have a priority on the
rankings list.

Lecturers:
- Edzer Pebesma: Analyzing large amounts of Earth Observation data with
R and openEO
- Roger Bivand: Not just R-spatial: sustaining open source geospatial
software stacks / Data, data everywhere, nor any drop to analyse
(without making brave assumptions about how the data represent
underlying processes)
- Michael Sumner: Computer graphics data structures for geo-spatial /
Building a data library and R toolkit for domain-specific research group
/ Challenges of working with data in polar regions
- Markus Neteler: Cloud based processing of geo and Earth observation
data / Introduction to GRASS GIS / Advanced data analysis in GRASS GIS
- Veronica Andreo: Analysis of space-time satellite data for disease
ecology applications with GRASS GIS and R stats / Analyzing space-time
satellite data with GRASS GIS for environmental monitoring
- Martijn Tennekes: Creating thematic maps in R (tmap package)
- Tomislav Hengl: Computing with large rasters in R: introduction to
tiling and parallelization / Spatial and Spatiotemporal prediction using
ensemble Machine Learning
- Hanna Meyer: Machine learning strategies for spatio-temporal data
- Anita Graser: Analyzing movement data
- Madlene Nussbaum: Mastering machine learning for spatial prediction -
overview and introduction in methods / model selection and
interpretation, uncertainty
- Meng Lu: Assessment of global air pollution exposure

Dates:
- February 15th 2019 — Registration deadline;
- Mid March 2019 — All invitation letters send to applicants;
- May 15th 2019 — Deadline for settling registration fees (working
programme confirmed);
- July 15th 2019 — Final programme, data sets and exercises published;
- Sun 1st September to Sun 8th September 2019 (arrival Sunday, departure
Sunday; 7 night accommodation) Summer School;

Note: OpenGeoHub Summer school will be held week after the FOSS4G
conference (Bucharest, 26–30 August 2019).

Registration fees:
The registrations fees for this Summer School will be in the range
400–500 EUR. Registration fees cover costs of using facilities, lunch
and coffee breaks, administration costs, local travel costs, and costs
of travel and accommodation for lecturers. Participants from ODA
countries (employed by an organization or company in ODA-listed country;
http://www.oecd.org/dac/stats/daclist.htm) typically receive a
subsidized price for the registration costs. Also, full-time students
(MSc or PhD level) are offered subsidized price, provided that they are,
at the moment of application, not employed at any University or research
institute.

Summer school hosts:
This Summer School is hosted by the Institute for Geoinformatics (ifgi),
Heisenbergstr. 2, 48149 Münster. Local organizing committee:
- prof. dr. Edzer Pebesma: Summer School programme, discussion sessions,
- dr. Christian Knoth: logistics, lecture rooms, accommodation, social
programme,

OpenGeoHub is a not-for-profit research foundation with headquarters in
Wageningen, the Netherlands (Stichting OpenGeoHub, KvK 71844570). The
main goal of the OpenGeoHub is to promote publishing and sharing of Open
Geographical and Geoscientific Data and using and developing of Open
Source Software.

Follow us:
https://twitter.com/opengeohub
https://www.youtube.com/c/OpenGeoHubFoundation
https://business.facebook.com/Opengeohub-foundation-274552396602535/
https://plus.google.com/communities/103560544243938791437
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