Summer School 2023: “Processing and visualizing large geospatial data using R, Python and Julia”
Dates: 27 August 2023 – 02 September 2023
Location: Adam Mickiewicz University Poznan (Poland)
OpenGeoHub Summer School is an annual event that has been running at various locations in Europe, North America, and Australia since 2010, inviting researchers and specialists in developing open-source software and open data to help others improve analysis and modeling frameworks.
The 2023 event is organized in collaboration with the Adam Mickiewicz University in Poznan (Poland). The Summer School will consist of live presentations and demos by leading R and OSGeo developers, workshops, discussion panels, machine learning competitions, and several social events.
This Summer School is a not-for-profit event. Applications are now closed. If you have been invited / selected for this Summer School, please make sure you cover the participation fees by 15th of March 2023!
Lecturers & topics
To be confirmed and announced officially by March 2023.
Payment by Bank transfer is also possible.
As the Summer Schools are not-for-profit events, there is a registration fee, which covers the costs of lecturers, food and venue. Accommodation will be assisted by the Summer School organizers but is not included in the registration cost.
The organizers provide no funding/scholarships to participants, but participants from ODA-listed countries (http://www.oecd.org/dac/stats/daclist) can however apply for a subsidized price for registration costs. Please also refer to our Payment and cancellation policy.
This event will follow the time frame below.
Find out more about the previous editions on the OpenGeoHub Webpage and watch the free video lectures from the 2022 edition, 2021 edition and 2020 edition on the TIB.Av Portal.
Topics of interest
Topics of interested are focused around but not limited to (unsorted):
- AI for Earth System Sciences
- Spatial analysis of climate data
- New R/Python packages and functionality, new FOSS4G software and standards
- Spatial data science
- Geocomputation in R and/or Python
- Geographic web services and data sharing, WebGIS
- Static and interactive visualization of spatial data
- Visualization of spatio-temporal data
- Application of R+OSGeo tools in spatio-temporal modeling
- Spatial pattern analysis
- Point pattern analysis
- Machine learning and deep learning methods for spatial data
- Interpretative machine learning for spatial data
- Analyzing massive amounts of EO data in the cloud with R, gdalcubes, STAC, Google Earth Engine
- Big data in geomorphometry
- GIS bridges – combining GIS software and R/Python
- Writing R Packages
- Writing QGIS extensions
- Reproducible Research
Materials, such as slides, documents, datasets, screen-recordings and similar will be provided to all participants during the Summer School via our official Mattermost channel.
Social events & hackathons
Challenge yourself and others in: 1) machine learning applied to big spatial data 2) visualization of spatial data using R/Python.
Let’s discover the cultural attractions of the city with guided tours and a final toast at local, typical venues.
We are organizing some tours to discover the most fascinating natural and historical attractions in the vicinity of Poznań.
Why should you attend this event?
- Find out what are the trends in spatial analysis and modeling from the leading open source developers.
- Follow demo’s / tutorials, ask questions, share your experiences and help us resolve important issues.
- Connect to similar participants and network. Find co-authors and co-creators that match your style of work and ambitions.
- Contribute to the Open Source community and global good.
- Open source development communities on github and gitlab,
- R-sig-geo mailing list,
- R-Spatial.org package users,
- OSGeo community,
- PhD and MSc level students in the field of environmental sciences, GIS, civil engineering, spatial modelling, GeoAI, Earth Sciences and similar,
The summer school will take place in the modern building of the Faculty of Geographical and Geological Sciences. We have rooms equipped with audio-video facilities that can accommodate 300 people, two halls that can accommodate 150 people, and four rooms that can accommodate 50 to 80 people. There are individual electricity outlets for each seat in the room that holds 80 people. The building has six computer labs, each with 20 workstations, as well as an Eduroam network throughout. Stands for catering, exhibitions, etc., are also available on the premises.
Address: Bogumiła Krygowskiego 10, 61-680 Poznań, Poland
How to reach Poznań
Poznań has convenient access from all over the world:
- By airplane: daily connections from Munich, Frankfurt, Copenhagen, and Warsaw (1-hour flight) and several point-to-point connections. Visit this website for more information about the direct connections to Poznań. The airport is located near the city centre: a direct bus connection to hotels in the city centre is available. Taxi from the airport starts at 8 Euro to the city centre and at 15 Euro directly to the Faculty. Ridesharing companies (such as Uber and Bolt) are also popular and widely accessible. Additionally, the travel time from Berlin Brandenburg Airport to Poznań is 2.5h and from Warsaw Chopin Airport to Poznań is 3h.
- By train: direct intercity train connections from Berlin, Warsaw, Vilnius, and Prague. The railway station is located directly in the city center within walking distance of several hotels.
- By car: Highway connections from Berlin, Warsaw, Wrocław, and Gdańsk. We offer free 24-hour closed parking at the University Campus (not guarded) and a free parking lot in front of the building.
- Hotel ForZa *** (Dworska 1, Poznań) (10 min by bus to the Faculty (lines 911 and 167))
- HL Hotel Lechicka *** (Lechicka 101, Poznań) (20 minutes by bus to the Faculty (lines 174/191 + 198))
- Other options
- Hostels (located in the city center; 15-35 Euro/night)
- 3-star hotels (45-60 Euro/night)
- Premium Hotels (65-90 Euro/night)
Next Summer School will be held at the Adam Mickiewicz University, Poznan in the period 27 Aug. (Sunday) 02 Sep (Saturday). The planned timeline is:
- 1 February: Application close / registrations open;
- March: communication about the program;
- 15 April 2023: deadline for payment of the summer school fees;
- 1st June: Registration deadline for accepted participants;
- June: 2 consultation meetings for participants to prepare for the summer school;
- July 3rd: deadline for unconditional cancellation/reimbursement of the fee;
- Until August 27th: conditional cancellation/reimbursement of the fee;
- August 27th – 2nd September: Summer School
Technology in use
Virtual machines / software installation
For consistency we recommend that all participants use a prepared virtual machine (docker containers), best via:
This would make sure that everyone follows exactly the same settings / same package versions etc.
Use of virtual containers / virtual OS comes at the cost of RAM, so we need to provide to all participants instructions on how to prepare and emphasize that their laptops should have a minimum configuration of 16GB RAM and similar.
All lectures will be video-recorded using Zoom webinar functionality in HD quality. Subject to approval of the presenters, the videos will be uploaded to https://av.tib.eu/publisher/OpenGeoHub_Foundation and a DOI will be assigned to each talk. Lecturers will be asked to accept the general recording conditions and sign a document allowing for videos to be shared. Copyright of the video’s will be assigned to authors / presenters as in standard Open Access materials.
Please read the Summer School 2023 Cancellation Policy carefully before applying.