OpenGeoHub Summer School 2023

17:00

180min

Ice breaker

Other locations

09:00

90min

Plenary introduction, including introduction to the hackathons

Room 21 (Sala 21)

11:00

90min

Introduction to working with spatial data in Python (part 1)

Michael Dorman

Python / Julia

Room 18 (Sala 18)

11:00

90min

Tidy geographic data with sf, dplyr, ggplot2, geos and friends (part 1)

Robin Lovelace

R training

Room 21 (Sala 21)

13:30

90min

Introduction to working with spatial data in Python (part 2)

Michael Dorman

Python / Julia

Room 18 (Sala 18)

13:30

90min

Tidy geographic data with sf, dplyr, ggplot2, geos and friends (part 2)

Robin Lovelace

R training

Room 21 (Sala 21)

15:30

45min

Hackathon workshop

Deleted User, Nils Ratnaweera

Hackathons

Room 21 (Sala 21)

16:15

90min

Research Speed Dating

Room 21 (Sala 21)

09:00

90min

Processing geospatial data using JuliaGeo framework (Julia tutorial) (part 1)

Maarten Pronk

Python / Julia

Room 18 (Sala 18)

09:00

90min

Raster and vector data cubes in R (part 1)

Edzer Pebesma

R training

Room 21 (Sala 21)

11:00

90min

Processing geospatial data using JuliaGeo framework (Julia tutorial) (part 2)

Maarten Pronk

Python / Julia

Room 18 (Sala 18)

11:00

90min

Raster and vector data cubes in R (part 2)

Edzer Pebesma

R training

Room 21 (Sala 21)

13:30

90min

Progress in modernizing and replacing infrastructure packages in R-spatial workflows

Roger Bivand

R training

Room 18 (Sala 18)

13:30

90min

Unsupervised classification (clustering) of satellite images (part 1)

Deleted User

R training

Room 21 (Sala 21)

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 2)

Deleted User

R training

Room 21 (Sala 21)

17:00

90min

Hackathons (consultations)

Deleted User, Nils Ratnaweera

Hackathons

Room 21 (Sala 21)

17:15

150min

Short excursion

Other locations

09:00

90min

Cloud-based analysis of Earth Observation data using openEO Platform, R and Python (part 1)

Edzer Pebesma

Cross-platform

Room 21 (Sala 21)

09:00

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

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

Parallelization of geoprocessing workflows in GRASS GIS and Python (part 2)

Caitlin Haedrich

Python / Julia

Room 18 (Sala 18)

13:30

90min

Environmental analysis using satellite image time series (part 1)

Ewa Grabska-Szwagrzyk

R training

Room 21 (Sala 21)

13:30

90min

xcube for spatiotemporal data analysis and visualization (part 1)

Alicja Balfanz

Python / Julia

Room 18 (Sala 18)

15:30

90min

Environmental analysis using satellite image time series (part 2)

Ewa Grabska-Szwagrzyk

R training

Room 21 (Sala 21)

15:30

90min

xcube for spatiotemporal data analysis and visualization (part 2)

Alicja Balfanz

Python / Julia

Room 18 (Sala 18)

17:15

90min

Discussion panel: What can R, Python, and Julia development communities do to combat the climate crisis?

Theoretical sessions

Room 21 (Sala 21)

09:00

90min

Mapping explanation - Python toolchaing for spatial interpretative machine learning (part 1)

Jarek Jasiewicz

Python / Julia

Room 18 (Sala 18)

09:00

90min

Spatial ML model assessment and interpretation (part 1)

Alexander Brenning

Theoretical sessions

Room 21 (Sala 21)

11:00

90min

Mapping explanation - Python toolchaing for spatial interpretative machine learning (part 2)

Jarek Jasiewicz

Python / Julia

Room 18 (Sala 18)

11:00

90min

Spatial ML model assessment and interpretation (part 2)

Alexander Brenning

Theoretical sessions

Room 21 (Sala 21)

13:30

90min

Data engineering for Mobility Data Science (with Python and DVC)

Anita Graser

Python / Julia

Room 18 (Sala 18)

13:30

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)

15:15

15min

Introduction to "City, location-based, game"

Room 21 (Sala 21)

16:00

120min

City, location-based, game

Other locations

18:00

180min

Happy hour

Other locations

09:00

90min

Processing large OpenStreetMap datasets for geocomputational research

Robin Lovelace

R training

Room 18 (Sala 18)

09:00

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)

11:00

90min

Sharing your geospatial knowledge in the open

Jakub Nowosad

Room 21 (Sala 21)

13:30

60min

OEMC Hackathons Launch

Room 21 (Sala 21)

14:30

30min

Announcement of the hackathons winners

Deleted User, Nils Ratnaweera

Room 21 (Sala 21)

15:30

90min

Summer school final session

Room 21 (Sala 21)

10:00

420min

Excursion

Other locations