quadkeyr
quadkeyr: Tools for converting QuadKey-identified datasets (Microsoft's Bing Maps Tile System) into raster images and analyzing Meta (Facebook) Mobility Data - Published in JOSS (2024)
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Published in Journal of Open Source Software
Keywords
Repository
An R package designed to create raster images from QuadKey-identified data (Microsoft Bing Maps Tile System), aiming to simplify the analysis of Facebook mobility data.
Basic Info
- Host: GitHub
- Owner: ropensci
- License: other
- Language: R
- Default Branch: main
- Homepage: https://docs.ropensci.org/quadkeyr/
- Size: 28.5 MB
Statistics
- Stars: 15
- Watchers: 3
- Forks: 5
- Open Issues: 3
- Releases: 3
Topics
Metadata Files
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-"
)
```
# quadkeyr
[](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[](https://github.com/ropensci/quadkeyr/actions/workflows/check-release.yaml)
[](https://github.com/ropensci/quadkeyr/actions/workflows/pkgcheck.yaml)
[](https://app.codecov.io/gh/ropensci/quadkeyr)
[](https://github.com/ropensci/software-review/issues/619)
[](https://joss.theoj.org/papers/10.21105/joss.06500)
[](https://CRAN.R-project.org/package=quadkeyr)
[](https://cran.r-project.org/package=quadkeyr)
[](https://github.com/EpiForeSITE)
### What can this package do for you?
The `quadkeyr` R package presents a comprehensive toolkit
tailored for generating raster images from Quadkey-Identified data
within [Microsoft's Bing Maps Tile System](https://learn.microsoft.com/en-us/bingmaps/articles/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 of [Meta Mobility data, previously referred to as Facebook mobility data](https://dataforgood.facebook.com/).
### 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.
```{r qks, echo = FALSE, out.width= "70%", fig.align='center'}
magick::image_read("vignettes/bing_quadkeys.webp")
```
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 of `quadkeyr` is to:
1. [**Convert a QuadKey to a Simple Features data.frame (and more)**](https://docs.ropensci.org/quadkeyr/articles/quadkey_to_sf_conversion.html)
`quadkeyr` provides functions to convert a QuadKey to
a `sf` POINT data.frame or `sf` POLYGON data.frame.
Additionally, it offers all the R functions
described in the [official documentation](https://learn.microsoft.com/en-us/bingmaps/articles/bing-maps-tile-system) for converting QuadKeys to and from tiles, pixels, and geographic coordinates.
```{r w1, echo = FALSE, out.width= "80%", fig.align='center'}
magick::image_read("vignettes/workflow_quadkey.webp")
```
2. [**Generate Raster Images from Quadkey-Identified Data**](https://docs.ropensci.org/quadkeyr/articles/quadkey_identified_data_to_raster.html)
Complete a grid of QuadKeys within a specified area and zoom level,
and create a `stars` raster.
You can also directly convert QuadKeys in a data.frame column
into an `sf` POLYGON data.frame.
```{r w2, echo = FALSE, out.width= "80%", fig.align='center'}
magick::image_read("vignettes/workflow_raster.webp")
```
3. [**Convert Meta (Facebook) Mobility QuadKey-identified Datasets into Raster Files**](https://docs.ropensci.org/quadkeyr/articles/facebook_mobility_csvs_to_raster_files.html)
Convert Meta (Facebook) mobility data `.csv` files into `.tif` files
by day and hour reported.
```{r w3, echo = FALSE, out.width= "80%", fig.align='center'}
magick::image_read("vignettes/workflow_facebook.webp")
```
4. [**Offer an App for visualizing QuadKeys on a map**](https://docs.ropensci.org/quadkeyr/articles/quadkey_visualization_app.html)
Introduce a QuadKey visualization application enabling users
to validate function outcomes.
## Install `quadkeyr`
### R-Universe
For the latest development version of `quadkeyr`:
```r
install.packages("quadkeyr",
repos = "https://ropensci.r-universe.dev")
```
### GitHub
You can install the development version of `quadkeyr` from [GitHub](https://github.com/) with:
``` r
# install.packages("remotes")
remotes::install_github("ropensci/quadkeyr")
```
### CRAN
You can install the latest version of `quadkeyr` from CRAN with:
``` r
install.packages("quadkeyr")
```
## Code of Conduct
Please note that this package is released with a [Contributor
Code of Conduct](https://ropensci.org/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 the
[contributing guidelines](https://github.com/ropensci/quadkeyr/blob/main/.github/CONTRIBUTING.md)
## Links of interest
- [Bing Maps Tile Systems - Microsoft](https://learn.microsoft.com/en-us/bingmaps/articles/bing-maps-tile-system)
- [R - `slippymath`: Slippy Map Tile Tools](https://CRAN.R-project.org/package=slippymath)
- [Python - `pyquadkey2`](https://docs.muetsch.io/pyquadkey2/)
- [Python - `python-quadkey`](https://github.com/CartoDB/python-quadkey)
- [Python - `mercantile`](https://pypi.org/project/mercantile/)
- [Rust - `geo-quadkey-rs`](https://lib.rs/crates/geo-quadkey-rs)
- [TypeScript - `quadkey-tilemath`](https://github.com/glassonion1/quadkey-tilemath)
- [GeoCode Map viewer](https://9revolution9.com/tools/geo/geocode/)
Owner
- Name: rOpenSci
- Login: ropensci
- Kind: organization
- Email: info@ropensci.org
- Location: Berkeley, CA
- Website: https://ropensci.org/
- Twitter: rOpenSci
- Repositories: 307
- Profile: https://github.com/ropensci
JOSS Publication
quadkeyr: Tools for converting QuadKey-identified datasets (Microsoft's Bing Maps Tile System) into raster images and analyzing Meta (Facebook) Mobility Data
Authors
Tags
Microsoft's Bing Maps Tile System QuadKey Tile maps Geospatial Raster Image Meta Mobility Data Facebook Mobility DataCitation (CITATION.cff)
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# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "quadkeyr" in publications use:'
type: software
license: MIT
title: 'quadkeyr: Tools for converting QuadKey-identified datasets (Microsoft''s Bing
Maps Tile System) into raster images and analyzing Meta (Facebook) Mobility Data.'
version: 0.1.0
abstract: '''Quadkeyr'' functions generate raster images based on QuadKey-identified
data, facilitating efficient integration of Tile Maps data into R workflows. In
particular, ''Quadkeyr'' provides support to process and analyze Facebook mobility
datasets within the R environment.'
authors:
- family-names: D'Andrea
given-names: Florencia
email: florencia.dandrea@gmail.com
orcid: https://orcid.org/0000-0002-0041-097X
- family-names: Fernandez
given-names: Pilar
email: pilar.fernandez@wsu.edu
orcid: https://orcid.org/0000-0001-8645-2267
repository-code: https://github.com/ropensci/quadkeyr
url: https://docs.ropensci.org/quadkeyr/
contact:
- family-names: D'Andrea
given-names: Florencia
email: florencia.dandrea@gmail.com
orcid: https://orcid.org/0000-0002-0041-097X
keywords:
- geospatial
- quadkey
- raster
- rstats
- tilemap
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GitHub Events
Total
- Create event: 5
- Release event: 1
- Issues event: 12
- Watch event: 4
- Delete event: 4
- Member event: 1
- Issue comment event: 25
- Push event: 25
- Pull request review comment event: 2
- Pull request review event: 2
- Pull request event: 12
Last Year
- Create event: 5
- Release event: 1
- Issues event: 12
- Watch event: 4
- Delete event: 4
- Member event: 1
- Issue comment event: 25
- Push event: 25
- Pull request review comment event: 2
- Pull request review event: 2
- Pull request event: 12
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Florencia D'Andrea | f****a@g****m | 147 |
| Andrew Pulsipher | a****r@u****u | 14 |
| Øystein Sørensen | o****n@h****m | 8 |
| María Paula Caldas | m****s@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 10
- Total pull requests: 28
- Average time to close issues: 2 months
- Average time to close pull requests: 1 day
- Total issue authors: 4
- Total pull request authors: 4
- Average comments per issue: 5.7
- Average comments per pull request: 0.43
- Merged pull requests: 23
- Bot issues: 1
- Bot pull requests: 0
Past Year
- Issues: 5
- Pull requests: 12
- Average time to close issues: 16 days
- Average time to close pull requests: 3 days
- Issue authors: 2
- Pull request authors: 2
- Average comments per issue: 1.2
- Average comments per pull request: 0.5
- Merged pull requests: 10
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- flor14 (4)
- gvegayon (2)
- osorensen (2)
- github-actions[bot] (1)
Pull Request Authors
- osorensen (22)
- flor14 (10)
- apulsipher (6)
- mpaulacaldas (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 180 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 1
cran.r-project.org: quadkeyr
Generate Raster Images from QuadKey-Identified Datasets
- Homepage: https://docs.ropensci.org/quadkeyr/
- Documentation: http://cran.r-project.org/web/packages/quadkeyr/quadkeyr.pdf
- License: MIT + file LICENSE
-
Latest release: 0.1.0
published 9 months ago
Rankings
Maintainers (1)
Dependencies
- ropensci-review-tools/pkgcheck-action main composite
- actions/checkout v3 composite
- r-lib/actions/check-r-package v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- actions/checkout v3 composite
- actions/upload-artifact v3 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- R >= 2.10 depends
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- rnaturalearth >= 0.3.2 imports
- sf >= 1.0.14 imports
- shiny >= 1.7.4 imports
- stars >= 0.6.2 imports
- tidyr >= 1.3.0 imports
- viridis >= 0.6.4 imports
- knitr * suggests
- rmarkdown * suggests
- shinytest2 * suggests
- testthat >= 3.1.10 suggests
