quadkeyr-package: quadkeyr: Generate Raster Images from QuadKey-Identified...

quadkeyr-packageR Documentation

quadkeyr: Generate Raster Images from QuadKey-Identified Datasets

Description

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A set of functions of increasing complexity allows users to (1) convert QuadKey-identified datasets, based on 'Microsoft's Bing Maps Tile System', into Simple Features data frames, (2) transform Simple Features data frames into rasters, and (3) process multiple 'Meta' ('Facebook') QuadKey-identified human mobility files directly into raster files. For more details, see D’Andrea et al. (2024) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.21105/joss.06500")}.

Author(s)

Maintainer: Florencia D'Andrea florencia.dandrea@gmail.com (ORCID)

Authors:

Other contributors:

  • Maria Paula Caldas (ORCID) (Maria Paula Caldas reviewed the package (v. 0.0.0.9000) for rOpenSci, see https://github.com/ropensci/software-review/issues/619) [reviewer]

  • Vincent van Hees (ORCID) (Vincent van Hees reviewed the package (v. 0.0.0.9000) for rOpenSci, see https://github.com/ropensci/software-review/issues/619) [reviewer]

  • Andrew Pulsipher (ORCID) [contributor]

  • CDC's Center for Forecasting and Outbreak Analytics (This project was made possible by cooperative agreement CDC-RFA-FT-23-0069 (grant # NU38FT000009-01-00) from the CDC's Center for Forecasting and Outbreak Analytics. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Centers for Disease Control and Prevention.) [funder]

  • MIDAS-NIH COVID-19 urgent grant program [funder]

  • Paul G. Allen School for Global Health, Washington State University [copyright holder]

See Also

Useful links:


quadkeyr documentation built on April 3, 2025, 8:52 p.m.