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Computer Science

D-Index
37
Citations
21718
World Ranking
10428
National Ranking
522

Overview

Edzer Pebesma is affiliated with the University of Münster in Germany and specializes in environmental science with a focus on global and planetary change, environmental engineering, ecology, ecological modeling, as well as information systems and management. Their research spans multiple intersecting subfields that contribute to understanding environmental systems and their dynamics.

Their scientific work covers diverse main topics including:

  • Species Distribution and Climate Change
  • Atmospheric and Environmental Gas Dynamics
  • Remote Sensing and LiDAR Applications
  • Fire effects on ecosystems
  • Scientific Computing and Data Management
  • Distributed and Parallel Computing Systems
  • Remote Sensing in Agriculture

Edzer Pebesma has contributed to a variety of publications in multiple venues. Frequent publication platforms include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing
  • Nature Communications
  • Methods in Ecology and Evolution
  • Global Ecology and Biogeography

Recent papers authored or co-authored by Edzer Pebesma cover diverse aspects of environmental science and remote sensing, listed as follows:

  • "Machine learning-based global maps of ecological variables and the challenge of assessing them" (2022, Nature Communications)
  • "The openEO API-Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities" (2021, Remote Sensing)
  • "Nearest neighbour distance matching Leave-One-Out Cross-Validation for map validation" (2022, Methods in Ecology and Evolution)
  • "Assessing and improving the transferability of current global spatial prediction models" (2023, Global Ecology and Biogeography)
  • "Practical Reproducibility in Geography and Geosciences" (2020, Annals of the American Association of Geographers)

Collaborative research is a substantial part of Edzer Pebesma's scientific activity. Frequent coauthors include:

  • Hanna Meyer
  • Milutin Milenković
  • Johannes Heisig
  • Henning Teickner
  • Yomna Eid

Best Publications

  • Applied Spatial Data Analysis with R

    Roger S. Bivand;Edzer J. Pebesma;Virgilio Gómez-Rubio

  • Simple Features for R: Standardized Support for Spatial Vector Data

    Edzer J. Pebesma

  • Multivariable geostatistics in S: the gstat package $

    Edzer J Pebesma

  • Classes and Methods for Spatial Data

    Edzer Pebesma;Roger Bivand

  • Spatio-Temporal Interpolation using gstat

    Benedikt Gräler;Edzer J. Pebesma;Gerard B. M. Heuvelink

  • Spatial Data Science

    Unknown

  • GSTAT: a program for geostatistical modelling, prediction and simulation

    Edzer J. Pebesma;Cees G. Wesseling

  • Predicting into unknown space? Estimating the area of applicability of spatial prediction models

    Hanna Meyer;Edzer J. Pebesma

  • Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network

    Paul H. Hiemstra;Edzer J. Pebesma;Chris J. W. Twenhöfel;Gerard B. M. Heuvelink

  • Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images

    Tomislav Hengl;Gerard B. M. Heuvelink;Melita Perčec Tadić;Edzer J. Pebesma

  • Spatial aggregation and soil process modelling

    Gerard B.M. Heuvelink;Edzer J. Pebesma

  • spacetime: Spatio-Temporal Data in R

    Edzer Pebesma

  • Using Google Earth Engine to detect land cover change: Singapore as a use case

    Nanki Sidhu;Edzer Pebesma;Gilberto Câmara

  • The Importance of Scale in Object-based Mapping of Vegetation Parameters with Hyperspectral Imagery

    Elisabeth A. Addink;Steven M. de Jong;Edzer J. Pebesma

  • Managing uncertainty in integrated environmental modelling: The UncertWeb framework

    Lucy Bastin;Dan Cornford;Richard Jones;Gerard B. M. Heuvelink

  • Automatic Prediction of High-Resolution Daily Rainfall Fields for Multiple Extents: The Potential of Operational Radar

    J.M. Schuurmans;M.F.P. Bierkens;E.J. Pebesma;R. Uijlenhoet

  • Above-ground biomass assessment of Mediterranean forests using airborne imaging spectrometry: the DAIS Peyne experiment

    S. M. De Jong;E. J. Pebesma;B. Lacaze

  • INTAMAP: The design and implementation of an interoperable automated interpolation web service

    Edzer Pebesma;Dan Cornford;Gregoire Dubois;Gerard B. M. Heuvelink

  • Interactive visualization of uncertain spatial and spatio-temporal data under different scenarios: an air quality example

    Edzer J. Pebesma;Kor de Jong;David Briggs

  • A temporal GIS for field based environmental modeling

    Sören Gebbert;Edzer Pebesma

  • The Role of External Variables and GIS Databases in Geostatistical Analysis

    Edzer J Pebesma

  • plotKML: Scientific Visualization of Spatio-Temporal Data

    Tomislav Hengl;Pierre Roudier;Dylan Beaudette;Edzer Pebesma

Frequent Co-Authors

Jan Verbesselt
Jan Verbesselt Wageningen University & Research
Alberto Viglione
Alberto Viglione Polytechnic University of Turin
Wouter Buytaert
Wouter Buytaert Imperial College London
Alfred Stein
Alfred Stein University of Twente
Søren Hansen
Søren Hansen University of Copenhagen
Keith Loague
Keith Loague Stanford University
Piotr Jankowski
Piotr Jankowski San Diego State University
Pierre Soille
Pierre Soille Joint Research Centre

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