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geozarr  

GeoZarr Conventions for Geospatial Data in Zarr Stores
View on CRAN: Click here


Download and install geozarr package within the R console
Install from CRAN:
install.packages("geozarr")

Install from Github:
library("remotes")
install_github("cran/geozarr")

Install by package version:
library("remotes")
install_version("geozarr", "0.2.0")



Attach the package and use:
library("geozarr")
Maintained by
Patrick Van Laake
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-23
Latest Update: 2026-07-23
Description:
Large-scale gridded data stores are increasingly using the Zarr format. GeoZarr is defined in terms of a number of community conventions built on top of the Zarr specification. These conventions specify how Zarr metadata is to be interpreted to attach semantic meaning to the data in the Zarr array providing the metadata. This package implements a number of community conventions on top of the 'zarr' package, enabling the R community to use geospatial data stored in Zarr.
How to cite:
Patrick Van Laake (2026). geozarr: GeoZarr Conventions for Geospatial Data in Zarr Stores. R package version 0.2.0, https://cran.r-project.org/web/packages/geozarr. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-09-16 02:10), 0.1.0 (2026-07-23 15:50)
Other packages that cited geozarr R package
View geozarr citation profile
Other R packages that geozarr depends, imports, suggests or enhances
Complete documentation for geozarr
Functions, R codes and Examples using the geozarr R package
Full geozarr package functions and examples
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