Using R and sf for spatial data

Note

This resource provides a reference on using R for spatial data. Read the resource guide on using R and RStudio for more general information.

About R and spatial data 📋

About sf package 🌐

from sf website

interfaces to GEOS for geometrical operations on projected coordinates, and to s2geometry for geometrical operations on ellipsoidal coordinates
interfaces to GDAL, supporting all driver options, Date and POSIXct and list-columns
interfaces to PRØJ for coordinate reference system conversion and transformation
uses well-known-binary serialisations written in C++/Rcpp for fast I/O with GDAL and GEOS
reads from and writes to spatial databases such as PostGIS using DBI
is extended by lwgeom for selected liblwgeom/PostGIS functions
is extended by stars for raster data, and raster or vector data cubes (spatial time series)

Introductory resources 🐣

Getting help 🆘

R packages for spatial data 📦

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title: "Using R and sf for spatial data"
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::: {.callout-note collapse="false" appearance="default" icon="true"}
This resource provides a reference on using R for spatial data. Read the resource guide on [using R and RStudio]() for more general information.
:::

## About R and spatial data 📋

## About sf package 🌐

from sf website

-   interfaces to [GEOS](https://libgeos.org) for geometrical operations on projected coordinates, and to [s2geometry](https://s2geometry.io/) for geometrical operations on ellipsoidal coordinates

-   interfaces to [GDAL](http://www.gdal.org/), supporting all driver options, `Date` and `POSIXct` and list-columns

-   interfaces to [PRØJ](http://proj.org/) for coordinate reference system conversion and transformation

-   uses [well-known-binary](https://en.wikipedia.org/wiki/Well-known_text#Well-known_binary) serialisations written in C++/Rcpp for fast I/O with GDAL and GEOS

-   reads from and writes to spatial databases such as [PostGIS](http://postgis.net/) using [DBI](https://cran.r-project.org/web/packages/DBI/index.html)

-   is extended by [lwgeom](https://github.com/r-spatial/lwgeom/) for selected liblwgeom/PostGIS functions

-   is extended by [stars](https://github.com/r-spatial/stars/) for raster data, and raster or vector data cubes (spatial time series)

## Introductory resources 🐣

## Getting help 🆘

## R packages for spatial data 📦