Summer School 2019
The 2019 Summer School on spatial and spatiotemporal computing: processing large-scale Earth observation data will be held at University of Münster in the period Sept 1–7, 2019. To receive regular announcements subscribe either to the R-sig-geo mailing list and/or the OpenGeoHub social channels indicated below. Video recordings from the OpenGeoHub Summer School 2018 are available here.
Registration deadline: 15th of February 2019 24:00 CET.
This summer school is limited to 65 participants. Final invitations (early March 2019) will be based on number of selection criteria including: (a) registration date, (b) distance to the venue (from your work place), (c) academic status (your citations record based on Google Scholar), and (d) contributions to the Open Source software developments (mailing lists, R packages and similar). Number of received applications on 15th of January 2019: 83.
- R-sig-geo (R Special Interest Group on using Geographical data and Mapping),
- OSGeo (the Open Source Geospatial Foundation),
- PhD and post-docs in the field of applied environmental and spatial sciences,
- 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
Summer School activities
The Summer School 2019 will include:
- Overview lectures and keynotes
- Training sessions / R package and GIS software tutorials (in smaller groups);
- Discussion sessions;
- Spatial prediction competition game;
- Orientation game;
- Excursion (outdoor hiking);
The Summer school will be held on:
- Sun 1st September — Sun 8th September 2019 (arrival Sunday, departure Sunday; 7 night accommodation)
Other important 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;
Note: OpenGeoHub Summer school will be held week after the FOSS4G conference (Bucharest, 26–30 August 2019).
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) and full-time students (not under work contract as University assistant or similar) typically receive a subsidized price.
Summer School is organized on a cost-recovery basis. OpenGeoHub foundation is a not-for-profit research foundation located in the Netherlands. All lecturers are volunteers. None of the lecturers receives any honorarium payment or is contracted by the local organizers.
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,
First option: we have booked 15 single and 15 double rooms (up to 45 people) at the Hotel “Überwasserhof”, located here. Second option: we have arranged reserved room contingents at different hotels through the service of “Münster Marketing”. Please specify during registration whether we should pre-reserve a room for you or if you plan to organize your own accommodation. Please do not contact above listed hotels before you are officially selected for this Summer School.
A selection of sessions (theoretical lectures and demos) will be video-recorded. See also: video recordings from the OpenGeoHub Summer School 2018.