rgdal

R package rgdal: Bindings for the Geospatial Data Abstraction Library. Provides bindings to Frank Warmerdam’s Geospatial Data Abstraction Library (GDAL) (>= 1.6.3) and access to projection/transformation operations from the PROJ.4 library. The GDAL and PROJ.4 libraries are external to the package, and, when installing the package from source, must be correctly installed first. Both GDAL raster and OGR vector map data can be imported into R, and GDAL raster data and OGR vector data exported. Use is made of classes defined in the sp package. Windows and Mac Intel OS X binaries (including GDAL, PROJ.4 and Expat) are provided on CRAN.


References in zbMATH (referenced in 19 articles )

Showing results 1 to 19 of 19.
Sorted by year (citations)

  1. Mihai Tivadar: OasisR: An R Package to Bring Some Order to the World of Segregation Measurement (2019) not zbMATH
  2. Victor Maus and Gilberto Câmara and Marius Appel and Edzer Pebesma: dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R (2019) not zbMATH
  3. Lukas W. Lehnert, Hanna Meyer, Wolfgang A. Obermeier, Brenner Silva, Bianca Regeling, Jörg Bendix: Hyperspectral Data Analysis in R: the hsdar Package (2018) arXiv
  4. Martijn Tennekes: tmap: Thematic Maps in R (2018) not zbMATH
  5. Roman Luštrik; Žan Kuralt: wolfexplorer: a tool for visualization and exploration of complex multi-year multi-specimen datasets (2018) not zbMATH
  6. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  7. Benjamin Taylor and Barry Rowlingson: spatsurv: An R Package for Bayesian Inference with Spatial Survival Models (2017) not zbMATH
  8. Carracedo, Patricia; Debón, Ana: Spatial statistical tools to assess mortality differences in Europe (2017)
  9. RESSTE Network; et al.: Analyzing spatio-temporal data with R: everything you always wanted to know -- but were afraid to ask (2017)
  10. Sebastian Meyer and Leonhard Held and Michael Höhle: Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance (2017) not zbMATH
  11. Aboukhamseen, S. M.; Soltani, A. R.; Najafi, M.: Modelling cluster detection in spatial scan statistics: formation of a spatial Poisson scanning window and an ADHD case study (2016)
  12. Patrick Brown: Model-Based Geostatistics the Easy Way (2015) not zbMATH
  13. Quinn Payton; Michael McManus; Marc Weber; Anthony Olsen; Thomas Kincaid: micromap: A Package for Linked Micromaps (2015) not zbMATH
  14. Tomislav Hengl; Pierre Roudier; Dylan Beaudette; Edzer Pebesma: plotKML: Scientific Visualization of Spatio-Temporal Data (2015) not zbMATH
  15. Edzer Pebesma: spacetime: Spatio-Temporal Data in R (2012) not zbMATH
  16. Thibault Laurent; Anne Ruiz-Gazen; Christine Thomas-Agnan: GeoXp: An R Package for Exploratory Spatial Data Analysis (2012) not zbMATH
  17. Sarah Goslee: Analyzing Remote Sensing Data in R: The landsat Package (2011) not zbMATH
  18. Zack Almquist: US Census Spatial and Demographic Data in R: The UScensus2000 Suite of Packages (2010) not zbMATH
  19. Susumu Tanimura; Chusi Kuroiwa; Tsutomu Mizota: Proportional Symbol Mapping in R (2006) not zbMATH