The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

flexurba 0.2.2

Process CRAN feedback:

Arguments filenames in flexurba::download_GHSLdata(), and output_filenames and global_filenames in flexurba::crop_GHSLdata() are now required as per CRAN policy.
Minor changes to unit test such that files created in the temporary directory are cleaned up.
Changes to examples of download_GHSLdata.

flexurba 0.2.1

Update spatial boundaries in flexurba::units_belgium based on data from the Algemene Directie Statistiek - Statistics Belgium, as these are available under Creative Commons CC BY 4.0 licence. Note that analysis that rely on flexurba::units_belgium might have different results.
Update parameter list in the function flexurba::DoU_get_grid_parameters(). The values UC_smooth_pop and UC_smooth_pop_window were missing from Level 1.
Several minor modifications on the developers side of the package to prepare for a CRAN submission.

flexurba 0.2.0

New apply_threshold() identifies urban areas by applying a threshold on grid cells.
New convert_regions_to_grid() convert regions from a vector layer to gridded format.
New R package flexurbaData with global datasets accompanying the Flexurba R package. The package includes processed population and built-up area derived from the Global Human Settlement Layer, and night-time light grid derived from the Earth Observation Group.
New load_proxies_belgium() loads a sample of the proxy datasets in flexurbaData for the country of Belgium.
Two new vignettes: (1) vignette("vig8-apply-thresholds") discussing different thresholding approaches and (2) vignette("vig9-different-proxies") on different proxy datasets used to construct urban boundaries.

The functions that were specifically design to reconstruct the Degree of Urbanisation delineation have been renamed with the prefix DoU_ to make a more consistent API and allowing for a better tab-completion. The old names remain available for backward compatibility.

New name	Old name
`DoU_preprocess_grid()`	`preprocess_grid()`
`DoU_classify_grid()`	`classify_grid()`
`DoU_classify_grid_urban_centres()`	`classify_grid_urban_centres()`
`DoU_classify_gid_urban_clusters()`	`classify_gid_urban_clusters()`
`DoU_classify_grid_rural()`	`classify_grid_rural()`
`DoU_classify_grid_water()`	`classify_grid_water()`
`DoU_get_grid_parameters()`	`get_grid_parameters()`
`DoU_get_optimal_builtup()`	`get_optimal_builtup()`
`DoU_preprocess_units()`	`preprocess_units()`
`DoU_classify_units()`	`classify_units()`
`DoU_preprocess_units()`	`preprocess_units()`
`DoU_load_grid_data_belgium()`	`load_grid_data_belgium()`
`DoU_plot_grid()`	`plot_grid()`
`DoU_plot_units()`	`plot_units()`

The grid classification rules for semi-dense urban clusters in Level 2 of DEGURBA have been modified in July 2024. To reflect the most up-to-date rules, the default flexurba grid parameters for semi-dense urban clusters in DoU_get_grid_parameters() have also been updated. Specifically:
- the minimum density threshold (SDUC_density_threshold) increased from 300 to 900 inhabitants per km²
- the minimum size threshold (SDUC_size_threshold) decreased from 5000 to 2500 inhabitants
- the contiguity rule (SDUC_contiguity_rule) is modified from the queen (=8) to rook (=4) contiguity
- the buffer size for semi-dense urban clusters SDUC_buffer_size is adjusted to 2 km
Note that these changes will affect the results of DoU_classify_grid() and DoU_classify_grid_urban_clusters() if level1is set to FALSE. The previous classification rules for semi-dense urban clusters can still be applied by specifying them explicit in the function argument parameters.
The unit classification rules for Level 2 of DEGURBA have been modified in July 2024. To reflect the most up-to-date rules, the flexurba function DoU_classify_units() is also updated (see the documentation page for more information). The previous classification rules can still be applied by setting the function argument rules_from_2021 to TRUE.
The function reference is restructured and the README, function documentation pages and vignettes are modified to reflect the updates.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.