giscoR 1.0.0

This major release introduces a full overhaul of the codebase and test suite. Requests now use httr2, and GeoPackage (”gpkg”) becomes the preferred download format when available. Cached files are reorganized into topic-based subfolders for easier management.

Because of internal changes, existing caches are not compatible with this release and must be rebuilt.

Database management has also been improved. Instead of relying on the static ?gisco_db dataset, the package now stores the database in the cache. This cached database is used for all API calls and can be updated via gisco_get_cached_db(update_cache = TRUE). In practice, this means that when GISCO publishes a new yearly release, you can access the new updated data simply by refreshing the cached database without waiting for a new version of giscoR.

We have transitioned from rappdirs::user_config_dir() to tools::R_user_dir() for managing your persistent cache directory. If you are a heavy giscoR user and already have a cache directory in place, you’ll receive a one-time friendly message informing you about this migration. Consider it a warm welcome to giscoR 1.0.0 😉.

The package now requires R ≥ 4.1, and dependency updates improve both performance and maintainability. All functions return tidy objects (tibbles or sf objects with tibble data).

Dataset subsetting is now performed at read time using GDAL’s query capabilities (sf::read_sf()), improving performance and reducing file size. The geojsonsf dependency is no longer required.

Several new functions and arguments have been added, some functions renamed, and one deprecated. All bundled datasets have been updated to their latest versions.

We recommend reviewing the updated documentation at https://ropengov.github.io/giscoR/.

Major changes

Note: Previous caches must be recreated.

Compatibility and performance

New functions

Renamed functions

We renamed several functions to improve clarity and consistency:

Old names remain available as aliases.

Argument updates

Dataset updates

We updated all bundled datasets to their latest versions and added new ones:

The datasets gisco_countries, gisco_nuts, and gisco_coastallines are no longer available. Any code that accessed them directly (e.g., giscoR::gisco_countries) will now fail.

Please use the updated datasets or, preferably, retrieve them via the corresponding functions such as gisco_get_countries() with default parameters.

Deprecations

Other updates

giscoR 0.6.1

giscoR 0.6.0

Data updates

giscoR 0.5.1

giscoR 0.5.0

giscoR 0.4.2

giscoR 0.4.1

giscoR 0.4.0

giscoR 0.3.5

giscoR 0.3.4

giscoR 0.3.3

giscoR 0.3.2

giscoR 0.3.1

giscoR 0.3.0

giscoR 0.2.4

giscoR 0.2.3

giscoR 0.2.2

giscoR 0.2.1

giscoR 0.2.0

giscoR 0.1.1

giscoR 0.1.0