Log message:
(geography/R-wk) Updated 0.5.0 to 0.6.0

# wk 0.6.0

* Fixed `wk_affine_rescale()` to apply the translate and scale
  operations in the correct order (#94).
* Add `wk_handle_slice()` and `wk_chunk_map_feature()` to support
  a chunk + apply workflow when working with large vectors (#101, #107).
* C and R code was rewritten to avoid materializing ALTREP vectors
  (#103, #109).
* Added a `wk_crs_proj_definition()` generic for foreign CRS objects
  (#110, #112).
* Added `wk_crs_longlat()` helper to help promote authority-compliant
  CRS choices (#112).
* Added `wk_is_geodesic()`, `wk_set_geodesic()`, and argument `geodesic`
  in `wkt()` and `wkb()` as a flag for objects whose edges must
  be interpolated along a spherical/ellipsoidal trajectory (#112).
* Added `sf::st_geometry()` and `sf::st_sfc()` methods for wk geometry
  vectors for better integration with sf (#113, #114).
* Refactored well-known text parser to be more reusable and faster
  (#115, #104).
* Minor performance enhancement for `is.na()` and `validate_wk_wkb()`
  when called on a very long `wkb()` vector (#117).
* Fixed issue with `validate_wk_wkb()` and `validate_wk_wkt()`, which failed
  for most valid objects (#119).
* Added `wk_envelope()` and `wk_envelope_handler()` to compute feature-wise
  bounding boxes (#120, #122).
* Fixed headers and tests to pass on big endian systems (#105, #122).
* Incorporated the geodesic attribute into vctrs methods, data frame
  columns, and bbox/envelope calculation (#124, #125).
* Fix `as_xy()` for nested data frames and geodesic objects (#126, #128).
* Remove deprecated `wkb_problems()`, `wkt_problems()`, `wkb_format()`,
  and `wkt_format()` (#129).
* `wk_plot()` is now an S3 generic (#130).

Log message:
geography: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes

Log message:
geography: Remove SHA1 hashes for distfiles

Log message:
(geography/R-wk) import R-wk-0.5.0,  from wip/R-wk

Provides a minimal R and C++ API for parsing well-known binary and
well-known text representation of geometries to and from R-native
formats. Well-known binary is compact and fast to parse; well-known
text is human-readable and is useful for writing tests. These formats
are only useful in R if the information they contain can be accessed
in R, for which high-performance functions are provided here.