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Summer School
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OGH Summer School Muenster 2019

  • Tom Hengl
  • Author Tom Hengl
  • Published October 16, 2019

Dates: Sept 1 – 7, 2019
Location: Institute for Geoinformatics, Heisenbergstraße 2, 48149 Münster

The 2019 Summer School focussed on ‘Spatial and spatiotemporal computing: processing large-scale Earth observation data’, and was held at the University of Münster.

Lecturers

Analyzing large amounts of Earth Observation data with R and openEO
Edzer Pebesma
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)
Roger Bivand
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
Michael Sumner
Cloud based processing of geo and Earth observation data / Introduction to GRASS GIS / Advanced data analysis in GRASS GIS
Markus Neteler
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
Veronica Andreo
Creating thematic maps in R (tmap package)
Martijn Tennekes
Machine learning strategies for spatio-temporal data
Hanna Meyer
Analyzing movement data
Anita Graser
Mastering machine learning for spatial prediction - overview and introduction in methods / model selection and interpretation, uncertainty
Madlene Nussbaum
Assessment of global air pollution exposure
Meng Lu
Processing Large Satellite Image Collections as Data Cubes with the gdalcubes R package
Marius Appel
Dynamic modelling with PCRaster/python
Judith Verstegen

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