Gradual migration to geobr Python using data in geoparquet

[rafapereirabr]

We're preparing a new version of {geobr} v2.0.0. The main changes planned to far are:

• using geoparquet files. This will make the package substantially more efficient, and more easily integrated with {censobr}
• new parameter as_sf. Defaults to TRUE and the function returns an sf data.frame. If FALSE, the function returns an arrow dataset.
• several data issues reported on github have been fixed

Planned breaking changes

• The argument year now cannot be NULL, it must be declared. This is to make sure users make conscious decisions regarding the year of reference they want to use.
• The function read_health_regions() has been completely restructured

Here's a quick table to follow the progress:
✔️ : almost ready
✅: function implemented in the dev version of the package

Data functions

Functions	Data	R	Python
read_country	✅	✅
read_region	✅	✅
read_state	✅	✅
read_meso_region	✅	✅
read_micro_region	✅	✅
read_intermediate_region	✅	✅
read_immediate_region	✅	✅
read_municipality	✅	✅
read_municipal_seat	✅	✅
read_weighting_area	✅	✅
read_census_tract	✅	✅
read_statistical_grid	✅	✅
read_metro_area	✅	✅
read_urban_area	✅	✅
read_amazon	✅	✅
read_biomes	✅	✅
read_conservation_units	✅	✅
read_disaster_risk_area	✅	✅
read_indigenous_land	✅	✅
read_semiarid	✅	✅
read_health_facilities	✅	✅
read_health_region	✅	✅
read_neighborhood	✅	✅
read_schools	✅	✅
read_urban_concentrations	✅	✅
read_pop_arrangements	✅	✅
read_comparable_areas	✔️ temporarily suspended	✔️temporarily suspended

New functions

Functions	Data	R	Python
read_favela	✅	✅
read_quilombola_land	✅	✅
read_pooling_places	✅	✅
remove_islands	✅	✅

Support functions

Support functions	R	Python
list_geobr	✅
lookup_muni	✅
cep_to_state	✅
grid_state_correspondence_table	✅