The IBOT, Prague 2018 Summer School is the 13th in a series of summer
schools organized by R and Open Source (OS) GIS developers and
enthusiasts. GEOSTAT aims at PhD students and researchers in a range of
environmental and GIS sciences, especially those focusing on analyzing
spatial and spatio-temporal gridded data in R and OS GIS. The main idea
of GEOSTAT is to promote various aspects of statistical analysis of
spatial and spatio-temporal data using Open Source / free GIS languages
and tools: R, Python, GRASS GIS, QGIS, SAGA GIS and similar. For more
info see:
https://geostat-course.org/
The registrations are now open. In the case there are >60 registrations,
we will rank regs based on the standard 4 criteria (read more at
https://geostat-course.org/). After the registration close, selected
applicants will be invited individually with detailed instructions
(travel, accommodation, registration fees and similar).
The registrations fees are expected to be about 420 EUR (invoice will be
sent after registrations). Registration fees cover costs of using
facilities, lunch and coffee breaks 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 typically receive a subsidized price of 290 EUR for the
registration costs.
Lecturers / topics (unsorted):
- Edzer Pebesma (IfGI University of Muenster, Muenster Germany):
“Simple features for R”,
“Tidy spatial data analysis with R”,
“Scalable raster data analysis in the cloud with R”,
- Roger Bivand (Department of Economics, Norwegian School of Economics,
Bergen, Norway)
“A practical history of R (where things came from)”,
“Spatial processes and support (multi-level models)”,
“Applied spatial econometrics”,
- Markus Neteler (Mundialis, Bonn, Germany):
“Analysing environmental data with GRASS GIS”
- Barry Rowlingson (Lancaster Medical School, Lancaster, UK):
“Spatial analysis in epidemiology”
“Combining R and Python for spatial analysis”
- Tim Appelhans (GfK Geomarketing, Germany):
“Using mapview and mapedit to visualise and edit geo-spatial data
interactively in R”,
- Robin Lovelace (University of Leeds, UK):
“Geocomputation with R”,
“Integrating spatial data in dplyr workflows: pitfalls and potential”,
“Modelling transport data with R”
- Jannes Münchow (Geographic Information Science, Friedrich Schiller
University Jena, Jena, Germany)
“R-GIS bridges: the examples of RQGIS and RSAGA”,
“Spatial modeling using frequentist models, e.g., modeling species
richness, single species and/or landslides (RQGIS, RSAGA and rgrass7
tutorials)”
“The importance of spatial cross-validation in predictive modeling”
- Jakub Nowosad (Space Informatics Lab, University of Cincinnati, Ohio USA):
“GeoPAT 2.0 - analysis of spatial and temporal patterns”
- Tomislav Hengl (Wageningen, the Netherlands):
“Mapping biomes and tree species using Machine Learning”
“Computing with large rasters in R: tiling, parallelization, optimization”
The GEOSTAT 2018 Summer School will be hosted by the Institute of Botany
(IBOT) which is part of the Czech largest national research institution
- The Czech academy of Sciences. IBOT seat in village near Prague, in
Pruhonice in ancient castle with huge park. Pruhonice castle and park
are listed by UNESCO.
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