Edzer Pebesma
Edzer Pebesma
Professor of geoinformatics, University of Muenster
Verified email at uni-muenster.de - Homepage
TitleCited byYear
Applied spatial data analysis with R, second edition
RS Bivand, E Pebesma, V Gomez-Rubio
Springer, 2013
Multivariable geostatistics in S: the gstat package
EJ Pebesma
Computers & Geosciences 30 (7), 683-691, 2004
Classes and Methods for Spatial Data: the sp Package
E Pebesma, RS Bivand
R news 5 (2), 9-13, 2005
Gstat: a program for geostatistical modelling, prediction and simulation
EJ Pebesma, CG Wesseling
Computers & Geosciences 24 (1), 17-31, 1998
rgeos: interface to geometry engine-open source (GEOS)
R Bivand, C Rundel
R package version 0.3-2, 2013
Spatial aggregation and soil process modelling
GBM Heuvelink, EJ Pebesma
Geoderma 89 (1-2), 47-65, 1999
Mapping of background air pollution at a fine spatial scale across the European Union
R Beelen, G Hoek, E Pebesma, D Vienneau, K de Hoogh, DJ Briggs
Science of the Total Environment 407 (6), 1852-1867, 2009
Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network
PH Hiemstra, EJ Pebesma, CJW Twenhöfel, GBM Heuvelink
Computers & Geosciences 35 (8), 1711-1721, 2009
maptools: Tools for reading and handling spatial objects
NJ Lewin-Koh, R Bivand, EJ Pebesma, E Archer, A Baddeley, HJ Bibiko, ...
R package version 0.8-10, URL http://CRAN. R-project. org/package= maptools, 2011
rgdal: Bindings for the Geospatial Data Abstraction Library, R package version 0.6-28
TH Keitt
http://cran. r-project. org/package= rgdal, 2010
Latin hypercube sampling of Gaussian random fields
EJ Pebesma, GBM Heuvelink
Technometrics 41 (4), 303-312, 1999
Gstat user’s manual
EJ Pebesma
Dept. of Physical Geography, Utrecht University, Utrecht, The Netherlands, 2001
Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images
T Hengl, GBM Heuvelink, MP Tadić, EJ Pebesma
Theoretical and applied climatology 107 (1-2), 265-277, 2012
The importance of scale in object-based mapping of vegetation parameters with hyperspectral imagery
EA Addink, SM De Jong, EJ Pebesma
Photogrammetric Engineering & Remote Sensing 73 (8), 905-912, 2007
spacetime: Spatio-Temporal data in R
E Pebesma
Journal of Statistical Software 51 (7), 1-30, 2012
Spatio-temporal interpolation using gstat
E Pebesma, G Heuvelink
RFID Journal 8 (1), 204-218, 2016
Automatic prediction of high-resolution daily rainfall fields for multiple extents: the potential of operational radar
JM Schuurmans, MFP Bierkens, EJ Pebesma, R Uijlenhoet
Journal of Hydrometeorology 8 (6), 1204-1224, 2007
Managing uncertainty in integrated environmental modelling: The UncertWeb framework
L Bastin, D Cornford, R Jones, GBM Heuvelink, E Pebesma, C Stasch, ...
Environmental Modelling & Software 39, 116-134, 2013
Above‐ground biomass assessment of Mediterranean forests using airborne imaging spectrometry: the DAIS Peyne experiment
SM De Jong, EJ Pebesma, B Lacaze
International Journal of Remote Sensing 24 (7), 1505-1520, 2003
Mapping groundwater quality in the Netherlands
EJ Pebesma, JW De Kwaadsteniet
Journal of Hydrology 200 (1-4), 364-386, 1997
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