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PICOs IE3.6/GM1.8/AS4.50/BG9.65/CL5.26/HS11.23/SSS11.11

IE3.6/GM1.8/AS4.50/BG9.65/CL5.26/HS11.23/SSS11.11

R’s deliberate role in Earth sciences (co-organized) | PICO
Convener: Michael Dietze  | Co-Conveners: Sebastian Kreutzer , Oliver Korup 
PICOs
 / Tue, 25 Apr, 08:30–10:00  / PICO spot A

Tuesday, 25 April 2017
PICO spot A
Chairperson: Michael Dietze, Sebastian Kreutzer, Oliver Korup
08:30–08:32
PICOA.1
EGU2017-791
Spatial analysis of fluvial terraces in GRASS GIS accessing R functionality
Edina Józsa
08:32–08:34
PICOA.2
EGU2017-3256 | presentation
The R package "sperrorest" : Parallelized spatial error estimation and variable importance assessment for geospatial machine learning
Patrick Schratz, Tobias Herrmann, and Alexander Brenning
08:34–08:36
PICOA.3
EGU2017-3301 | presentation
Integrating R with GIS for innovative geocomputing – the examples of RQGIS and RSAGA
Jannes Muenchow, Patrick Schratz, Donovan Bangs, and Alexander Brenning
08:36–08:38
PICOA.4
EGU2017-18343
Using R for analysing spatio-temporal datasets: a satellite-based precipitation case study
Mauricio Zambrano-Bigiarini
08:38–08:40
PICOA.5
EGU2017-18636
Estimating actual evapotranspiration from remote sensing imagery using R: the package ‘TriangleMethod’.
David Gampe, Verena Huber García, Philip Marzahn, and Ralf Ludwig
08:40–08:42
PICOA.6
EGU2017-6585 | presentation
Using R for large spatiotemporal data sets
Edzer Pebesma
08:42–08:44
PICOA.7
EGU2017-4702
Using R to unravel animal-sediment interactions.
Karline Soetaert
08:44–08:46
PICOA.8
EGU2017-6307
The R-package eseis – A toolbox to weld geomorphic, seismologic, spatial, and time series analysis
Michael Dietze
08:46–08:48
PICOA.9
EGU2017-8300
‘spup’ – an R package for uncertainty propagation analysis in spatial environmental modelling
Kasia Sawicka and Gerard Heuvelink
08:48–08:50
PICOA.10
EGU2017-11880
A multi-dimensional environment-health risk analysis system for the English regions
Claudia Vitolo, Marco Scutari, Mohamed Ghalaieny, Allan Tucker, and Andrew Russell
08:50–08:52
PICOA.11
EGU2017-16427
Interpolating of climate data using R
Katja Reinhardt
08:52–08:54
PICOA.12
EGU2017-19318
The R package ‘RLumModel’: Simulating charge transfer in quartz
Johannes Friedrich, Sebastian Kreutzer, and Christoph Schmidt
08:54–08:56
PICOA.13
EGU2017-15461
The R package ‘Luminescence’: a history of unexpected complexity and concepts to deal with it
Sebastian Kreutzer, Christoph Burow, Michael Dietze, Margret C. Fuchs, Johannes Friedrich, Manfred Fischer, and Christoph Schmidt
08:56–08:58
PICOA.14
EGU2017-19032
Easing access to R using ‘shiny’ to create graphical user interfaces: An example for the R package ‘Luminescence’
Christoph Burow, Sebastian Kreutzer, Michael Dietze, Margret C. Fuchs, Christoph Schmidt, Manfred Fischer, and Helmut Brückner
08:58–09:00
PICOA.15
EGU2017-14375
Writing your own scientific R packages increases reproducibility, research quality and output (withdrawn)
Koen Hufkens and Andrew D. Richardson
09:00–09:02
PICOA.16
EGU2017-14655
Mind the gap – do we need more geoscientific expertise for developing R? Highlight
Michael Dietze, Sebastian Kreutzer, and Oliver Korup
09:02–10:00
Interactive presentations at PICO screens