library

sf

sf is an R package for working with simple features, a standardized way to encode spatial vector data (points, lines, polygons) in R. It provides functions for reading, writing, manipulating, analyzing, and visualizing spatial data, replacing older packages like sp and rgdal with a more modern, tidyverse-compatible interface. The package supports various spatial operations such as geometric transformations, spatial joins, and map projections.

Also known as: simple features, R sf, sf package, simple features for R, sf library
🧊Why learn sf?

Developers should learn sf when working with geospatial data in R, such as for mapping, spatial analysis, environmental modeling, or GIS applications. It is essential for tasks like handling shapefiles, performing spatial queries, creating interactive maps with leaflet, or integrating spatial data into data science workflows, as it offers efficient and consistent tools for vector data manipulation.

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