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Benedikt Gräler
Benedikt Gräler
52°North Initiative for Geospatial Open Source Software GmbH
Verified email at 52north.org - Homepage
Title
Cited by
Cited by
Year
Spatio-temporal interpolation using gstat.
B Gräler, EJ Pebesma, GBM Heuvelink
R J. 8 (1), 204, 2016
8652016
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables
T Hengl, M Nussbaum, MN Wright, GBM Heuvelink, B Gräler
PeerJ 6, e5518, 2018
7062018
Multivariate return periods in hydrology: a critical and practical review focusing on synthetic design hydrograph estimation
B Gräler, MJ van den BERG, S Vandenberghe, A Petroselli, S Grimaldi, ...
Hydrology and Earth System Sciences 17 (4), 1281-1296, 2013
3172013
Spatio‐temporal interpolation of daily temperatures for global land areas at 1 km resolution
M Kilibarda, T Hengl, GBM Heuvelink, B Gräler, E Pebesma, ...
Journal of Geophysical Research: Atmospheres 119 (5), 2294-2313, 2014
2512014
VineCopula: Statistical inference of vine copulas
U Schepsmeier, J Stoeber, EC Brechmann, B Graeler, T Nagler, T Erhardt
R package version 1, 2012
2092012
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables, PeerJ, 6, e5518
T Hengl, M Nussbaum, MN Wright, GBM Heuvelink, B Gräler
1352018
Modelling skewed spatial random fields through the spatial vine copula
B Gräler
Spatial Statistics 10, 87-102, 2014
1242014
Package ‘vinecopula’
U Schepsmeier, J Stoeber, EC Brechmann, B Graeler, T Nagler, T Erhardt, ...
R package version 2 (5), 2015
118*2015
VineCopula: statistical inference of vine copulas
T Nagler, U Schepsmeier, J Stoeber, EC Brechmann, B Graeler, T Erhardt, ...
R package version 2 (0), 2019
1162019
Spatio-temporal interpolation of soil water, temperature, and electrical conductivity in 3D+ T: The Cook Agronomy Farm data set
CK Gasch, T Hengl, B Gräler, H Meyer, TS Magney, DJ Brown
Spatial Statistics 14, 70-90, 2015
942015
gstat: Spatial and spatio-temporal geostatistical modelling, prediction and simulation
E Pebesma, B Graeler
R package version, 1.0-17, 2013
94*2013
The pair-copula construction for spatial data: a new approach to model spatial dependency
B Gräler, E Pebesma
Procedia Environmental Sciences 7, 206-211, 2011
912011
Spatio-temporal analysis and interpolation of PM10 measurements in Europe for 2009
B Gräler, M Rehr, L Gerharz, E Pebesma
ETC/ACM Technical Paper 8, 1-29, 2012
602012
Package ‘gstat’
E Pebesma, B Graeler, ME Pebesma
Comprehensive R Archive Network (CRAN), 1-0, 2015
562015
Spatio-temporal geostatistics using gstat
E Pebesma, B Gräler
R J 903, 2014
45*2014
Spatio-Temporal Interpolation using gstat, R J., 8, 204–218
B Gräler, E Pebesma, G Heuvelink
372016
Linked brazilian amazon rainforest data
T Kauppinen, GM de Espindola, J Jones, A Sánchez, B Gräler, ...
Semantic Web 5 (2), 151-155, 2014
372014
Modeling spatiotemporal information generation
S Scheider, B Gräler, E Pebesma, C Stasch
International Journal of Geographical Information Science 30 (10), 1980-2008, 2016
292016
vineCopula: statistical inference of vine copulas, 2018
U Schepsmeier, J Stoeber, EC Brechmann, B Graeler, T Nagler, T Erhardt, ...
URL http://CRAN. R-project. org/package= VineCopula. R package version 2 (4), 2018
282018
Joint return periods in hydrology: a critical and practical review focusing on synthetic design hydrograph estimation
S Vandenberghe, MJ Van den Berg, B Gräler, A Petroselli, S Grimaldi, ...
Hydrology and Earth System Sciences Discussions 9 (5), 6781-6828, 2012
242012
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Articles 1–20