quadkeyr

What can this package do for you?

Thequadkeyr R package presents a comprehensive toolkit tailored for generating raster images from Quadkey-Identified data withinMicrosoft’s Bing Maps Tile System. Designed to integrate Quadkey-Identified data into R workflows, this package facilitates the creation of QuadKey grids and raster images and introduces specialized functions for the processing ofMeta Mobility data, previously referred to as Facebook mobility data.

What are QuadKeys in Tile Maps?

Tile maps divide the Earth’s surface into a grid of tiles, with each tile corresponding to a specific geographic area at various zoom levels.

QuadKeys represent a location on a map by encoding its hierarchical spatial position as a sequence of characters. They provide an efficient method to address and retrieve specific map tiles, facilitating rapid display within mapping applications.

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

The goal ofquadkeyr is to:

1. Convert a 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 theofficial documentation for converting QuadKeys to and from tiles, pixels, and geographic coordinates.

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

3. Convert Meta (Facebook) Mobility QuadKey-identified Datasets into Raster Files Convert Meta (Facebook) mobility data.csv files into.tif files by day and hour reported.

4. Offer an App for visualizing QuadKeys on a map Introduce a QuadKey visualization application enabling users to validate function outcomes.

Installquadkeyr

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

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

install.packages("quadkeyr")

Code of Conduct

Please note that this package is released with aContributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

Contribute

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

Links of interest

• Bing Maps Tile Systems - Microsoft
• R -slippymath: Slippy Map Tile Tools
• Python -pyquadkey2
• Python -python-quadkey
• Python -mercantile
• Rust -geo-quadkey-rs
• TypeScript -quadkey-tilemath
• GeoCode Map viewer