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quadkeyr

What can this package do foryou?

Thequadkeyr R package presents a comprehensive toolkittailored for generating raster images from Quadkey-Identified datawithinMicrosoft’sBing Maps Tile System. Designed to integrate Quadkey-Identified datainto R workflows, this package facilitates the creation of QuadKey gridsand raster images and introduces specialized functions for theprocessing ofMeta Mobilitydata, previously referred to as Facebook mobility data.

What are QuadKeys in TileMaps?

Tile maps divide the Earth’s surface into a grid of tiles, with eachtile corresponding to a specific geographic area at various zoomlevels.

QuadKeys represent a location on a map by encoding its hierarchicalspatial position as a sequence of characters. They provide an efficientmethod to address and retrieve specific map tiles, facilitating rapiddisplay within mapping applications.

The QuadKey of any tile starts with the QuadKey of its parent tile (thecontaining tile at the previous level). Image extracted from Microsoft’sBing Maps Tile System webpage.

The goal ofquadkeyr is to:

Converta QuadKey to a Simple Features data.frame (and more)quadkeyr provides functions to convert a QuadKey to asf POINT data.frame orsf POLYGON data.frame.Additionally, it offers all the R functions described in theofficialdocumentation for converting QuadKeys to and from tiles, pixels, andgeographic coordinates.

GenerateRaster Images from Quadkey-Identified Data Complete a gridof QuadKeys within a specified area and zoom level, and create astars raster. You can also directly convert QuadKeys in adata.frame column into ansf POLYGON data.frame.

ConvertMeta (Facebook) Mobility QuadKey-identified Datasets into RasterFiles Convert Meta (Facebook) mobility data.csv files into.tif files by day and hourreported.

Offeran App for visualizing QuadKeys on a map Introduce aQuadKey visualization application enabling users to validate functionoutcomes.

Install`quadkeyr`

R-Universe

For the latest development version ofquadkeyr:

install.packages("quadkeyr",repos ="https://ropensci.r-universe.dev")

GitHub

You can install the development version ofquadkeyr fromGitHub with:

# install.packages("remotes")remotes::install_github("ropensci/quadkeyr")

CRAN

You can install the latest version ofquadkeyr from CRANwith:

install.packages("quadkeyr")

Code of Conduct

Please note that this package is released with aContributor Code ofConduct. By contributing to this project, you agree to abide by itsterms.

Contribute

If you’d like to contribute to this project, please follow thecontributingguidelines

Links of interest

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