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

[Tomislav Hengl]

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.

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