OpenGeoHub Summer School 2023
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Schedule
Sessions
Speakers
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Sunday, Aug. 27, 2023
Monday, Aug. 28, 2023
Tuesday, Aug. 29, 2023
Wednesday, Aug. 30, 2023
Thursday, Aug. 31, 2023
Friday, Sept. 1, 2023
Saturday, Sept. 2, 2023
20:00
20:00
120min
Ice breaker
Other locations
11:00
11:00
90min
Plenary introduction, including introduction to the hackathons
Room 21 (Sala 21)
12:30
12:30
30min
Coffee break
Room 21 (Sala 21)
12:30
30min
Coffee break
Room 18 (Sala 18)
13:00
13:00
90min
Introduction to working with spatial data in Python (part 1)
Michael Dorman
Python / Julia
Room 18 (Sala 18)
13:00
90min
Tidy geographic data with sf, dplyr, ggplot2, geos and friends (part 1)
Robin Lovelace
R training
Room 21 (Sala 21)
14:30
14:30
60min
Lunch break
Room 21 (Sala 21)
14:30
60min
Lunch break
Room 18 (Sala 18)
15:30
15:30
90min
Introduction to working with spatial data in Python (part 2)
Michael Dorman
Python / Julia
Room 18 (Sala 18)
15:30
90min
Tidy geographic data with sf, dplyr, ggplot2, geos and friends (part 2)
Robin Lovelace
R training
Room 21 (Sala 21)
17:00
17:00
30min
Coffee break
Room 21 (Sala 21)
17:00
30min
Coffee break
Room 18 (Sala 18)
17:30
17:30
45min
Hackathon workshop
Krzysztof Dyba, Nils Ratnaweera
Hackathons
Room 21 (Sala 21)
18:15
18:15
90min
Research Speed Dating
Room 21 (Sala 21)
11:00
11:00
90min
Processing geospatial data using JuliaGeo framework (Julia tutorial) (part 1)
Maarten Pronk
Python / Julia
Room 18 (Sala 18)
11:00
90min
Raster and vector data cubes in R (part 1)
Edzer Pebesma
R training
Room 21 (Sala 21)
12:30
12:30
30min
Coffee break
Room 21 (Sala 21)
12:30
30min
Coffee break
Room 18 (Sala 18)
13:00
13:00
90min
Processing geospatial data using JuliaGeo framework (Julia tutorial) (part 2)
Maarten Pronk
Python / Julia
Room 18 (Sala 18)
13:00
90min
Raster and vector data cubes in R (part 2)
Edzer Pebesma
R training
Room 21 (Sala 21)
14:30
14:30
60min
Lunch break
Room 21 (Sala 21)
14:30
60min
Lunch break
Room 18 (Sala 18)
15:30
15:30
90min
Progress in modernizing and replacing infrastructure packages in R-spatial workflows
Roger Bivand
R training
Room 18 (Sala 18)
15:30
90min
Unsupervised classification (clustering) of satellite images (part 1)
Krzysztof Dyba
R training
Room 21 (Sala 21)
17:00
17:00
30min
Coffee break
Room 21 (Sala 21)
17:00
30min
Coffee break
Room 18 (Sala 18)
17:30
17:30
90min
Progress in modernizing and replacing infrastructure packages in R-spatial workflows
Roger Bivand
R training
Room 18 (Sala 18)
17:30
90min
Unsupervised classification (clustering) of satellite images (part 2)
Krzysztof Dyba
R training
Room 21 (Sala 21)
19:00
19:00
90min
Hackathons (consultations)
Krzysztof Dyba, Nils Ratnaweera
Hackathons
Room 21 (Sala 21)
19:00
150min
Short excursion
Other locations
11:00
11:00
90min
Parallelization of geoprocessing workflows in GRASS GIS and Python (part 1)
Caitlin Haedrich, Anna Petrasova
Python / Julia
Room 18 (Sala 18)
11:00
90min
Tools and packages to query and process Sentinel-1 and Sentinel-2 data with R and Python (part 1)
Lorena Abad
Cross-platform
Room 21 (Sala 21)
12:30
12:30
30min
Coffee break
Room 21 (Sala 21)
12:30
30min
Coffee break
Room 18 (Sala 18)
13:00
13:00
90min
Parallelization of geoprocessing workflows in GRASS GIS and Python (part 2)
Caitlin Haedrich
Python / Julia
Room 18 (Sala 18)
13:00
90min
Tools and packages to query and process Sentinel-1 and Sentinel-2 data with R and Python (part 2)
Lorena Abad
Cross-platform
Room 21 (Sala 21)
14:30
14:30
60min
Lunch break
Room 21 (Sala 21)
14:30
60min
Lunch break
Room 18 (Sala 18)
15:30
15:30
90min
Environmental analysis using satellite image time series (part 1)
Ewa Grabska-Szwagrzyk
R training
Room 21 (Sala 21)
15:30
90min
xcube for spatiotemporal data analysis and visualization (part 1)
Alicja Balfanz
Python / Julia
Room 18 (Sala 18)
17:00
17:00
30min
Coffee break
Room 21 (Sala 21)
17:00
30min
Coffee break
Room 18 (Sala 18)
17:30
17:30
90min
Environmental analysis using satellite image time series (part 2)
Ewa Grabska-Szwagrzyk
R training
Room 21 (Sala 21)
17:30
90min
xcube for spatiotemporal data analysis and visualization (part 2)
Alicja Balfanz
Python / Julia
Room 18 (Sala 18)
19:00
19:00
90min
Discussion panel: What can R, Python, and Julia development communities do to combat the climate crisis?
Theoretical sessions
Room 21 (Sala 21)
11:00
11:00
90min
Mapping explanation - Python toolchaing for spatial interpretative machine learning (part 1)
Jarek Jasiewicz
Python / Julia
Room 18 (Sala 18)
11:00
90min
Spatial ML model assessment and interpretation (part 1)
Alexander Brenning
Theoretical sessions
Room 21 (Sala 21)
12:30
12:30
30min
Coffee break
Room 21 (Sala 21)
12:30
30min
Coffee break
Room 18 (Sala 18)
13:00
13:00
90min
Mapping explanation - Python toolchaing for spatial interpretative machine learning (part 2)
Jarek Jasiewicz
Python / Julia
Room 18 (Sala 18)
13:00
90min
Spatial ML model assessment and interpretation (part 2)
Alexander Brenning
Theoretical sessions
Room 21 (Sala 21)
14:30
14:30
60min
Lunch break
Room 21 (Sala 21)
14:30
60min
Lunch break
Room 18 (Sala 18)
15:30
15:30
90min
Cloud-based analysis of Earth Observation data using openEO Platform, R and Python (part 1)
Edzer Pebesma
Cross-platform
Room 21 (Sala 21)
15:30
90min
Data engineering for Mobility Data Science (with Python and DVC)
Anita Graser
Python / Julia
Room 18 (Sala 18)
17:00
17:00
30min
Coffee break
Room 21 (Sala 21)
17:00
30min
Coffee break
Room 18 (Sala 18)
11:00
11:00
90min
Cloud-based analysis of Earth Observation data using openEO Platform, R and Python (part 2)
Edzer Pebesma
Cross-platform
Room 21 (Sala 21)
11:00
90min
Processing large OpenStreetMap datasets for geocomputational research
Robin Lovelace
R training
Room 18 (Sala 18)
12:30
12:30
30min
Coffee break
Room 21 (Sala 21)
12:30
30min
Coffee break
Room 18 (Sala 18)
14:30
14:30
60min
Lunch break
Room 21 (Sala 21)
14:30
60min
Lunch break
Room 18 (Sala 18)
15:30
15:30
90min
OEMC Hackathons Launch
Room 21 (Sala 21)
17:00
17:00
30min
Coffee break
Room 21 (Sala 21)
17:00
30min
Coffee break
Room 18 (Sala 18)
11:00
11:00
480min
Excursion
Other locations
