[go: up one dir, main page]

Skip to content
This repository has been archived by the owner on Feb 21, 2022. It is now read-only.
/ geospatial Public archive

Docker-based Geospatial toolkit for R, built on versioned Rocker images

Notifications You must be signed in to change notification settings

rocker-org/geospatial

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

95 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

rocker/geospatial

DOI

Dockerfiles & documentation for images r-ver, rstudio, tidyverse, verse, geospatial, shiny, and binder, for R >= 4.0.0, HAVE MOVED to the rocker-versioned2 repository.

Docker-based Geospatial toolkit for R, built on versioned Rocker images.

This image extends the rocker-versioned stack with geospatial-related tools, particularly those that can be difficult or slow to add on-the-fly. As such, this image includes RStudio, the tidyverse packages, and verse libraries (notably LaTeX and JAVA environments). Like the rest of the rocker-versioned stack, tags for specific recent versions, including the latest and devel tags, are also provided. Versions older than the most recent will install R packages from an MRAN snapshot, and may not provide all the same packages as seen on the most recent versions.

Packages

The packages included in this image are not meant to provide a kitchen-sink of all geo-spatially related R packages, see the Spatial Task View and SpatioTemporal Task View on CRAN. This image seeks to provide a more opinionated collection of packages, prioritizing those packages that can be slow or tricky to install due to compiled code and external dependencies, and with an emphasis on more general-purpose libraries and classes.

Please note that many additional geospatial (and other) packages are pulled in as dependencies of this list and thus can also be found on the image. Feel free to request any additional packages you would like to see added by filing an issue.

Package Maintainer Description
RColorBrewer Colors for maps and other plots
RandomFields Schlather Methods for the inference on and the simulation of Gaussian fields, and simulation of extreme value random fields.
RNetCDF Woods Bindings to C API NetCDF library, with udunits
classInt Bivand Selected commonly used methods for choosing univariate class intervals for mapping or other graphics purposes.
deldir Turner Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
gstat Pebesma Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
hdf5r Hoefling Modern bindings to HF5 C API (replaces hf package)
lidR Roussel Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' file
mapdata Deckmyn Extra map data for the maps package (originally from S)
maptools Bivand Set of tools for manipulating and reading geographic data, in particular ESRI Shapefiles. (See rgdal and sf for more comprehensive I/O)
mapview Appelhans sf-compatible interactive map viewer, extends leaflet
ncdf4 Pierce raster-package compatible netcdf bindings
proj4 Urbanek A simple interface to lat/long projection and datum transformation. See sf implementation as well.
raster Hijmans Reading, writing, manipulating, analyzing and modeling of gridded spatial data.
rgdal Bivand Interface to GDAL, I/O formats. See sf for more recent implementation
rgeos Bivand Interface to GEOS (geometry operations). See sf for more recent implementation
sf Pebesma Simple-features oriented replacement for sp, rgdal, rgeos, and proj4 libraries, includes dplyr-style methods.
sp Pebesma Original & widely used spatial object class
spacetime Pebesma Classes and Methods for Spatio-Temporal Data
spatstat Baddeley Large spatial statistics package: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
spatialreg Bivand Spatial Regression Analysis: Spatatial Autregressive Models (formerly in spdep)
spdep Bivand Spatial Dependence: Weighting Schemes, Statistics and Models
tmap Tennekes Thematic, layer-based maps (sf and sp compatible)
geoR Ribeiro Geostatistical analysis including traditional, likelihood-based and Bayesian methods.
geosphere Hijmans Spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations.

About

Docker-based Geospatial toolkit for R, built on versioned Rocker images

Resources

Stars

Watchers

Forks

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •