Geobr

New data sets/functions
* From v1.6 onwards, `geobr` stores downloaded in temporary cache in `tempdir()`. Closes 225.
* New function `read_comparable_areas` to read historically comparable municipalities, aka Areas minimas comparaveis (AMCs). Closes issue 17
* New data set of macro regions og health, which can be accessed using the new `macro` parameter added to `read_health_region()` function. Closes issue 219.
* New internal support function `is_online()`to check internet connection with Ipea server. Closes 229
* New data/function `read_urban_concentrations`. Closes 232
* New data/function `read_pop_arrangements`. Closes 231
* updated data sets for 2020:
* Country
* Regions
* States
* Micro regions
* Meso regions
* Immediate regions
* Intermediate regions
* Municipalities
* Census tracts
* Updated data of indigenous land March 2021


Minor changes
* Improved package test coverage to 99.16%.
* Improved documentation considering `Roxygen: list(markdown = TRUE)`
* fix column names of `grid_state_correspondence_table`
* Improve warning message regarding connection to geobr server at Ipea
* Fix `read_municipality` when reading a state abbreviation before 1991.

New data sets/functions
* new function `read_schools` to read the schools data - closes issue 190 (added in 2020-10).
* data of `census_tracts` 2017 from the agricultural census - closes issue 171 (added in 2020-11).
* new function `cep_to_state` to determine the state of a given CEP postal code
(added in 2021-01).

Minor changes
* geobr now automatically detects if there is an internet connection problem and throws an error. Closes issue 178
* imports `data.table` to use `rbindlist` and improve package speed when downloading data for the whole country. Closes issue 199.
* new intro tutorial vignette for Python users


v.14

New data sets/functions
* data set `read_health_region` to read the health regions - closes issue 149 (added in 2020-07).
* updated 2019 data sets of `intermediate`, `immediate` `micro` and `meso` regions, `states` and `municipalities`.

Minor changes
* improved documentation of argument `simplified`
* included documentation of argument `zone` in the `read_census_tract` function
* `read_municipality()` function now also takes additional inputs for data sets before 1992. Closes issue 163 (added in 2020-06)
* harmonized the `st_geometry_type()` of data sets to `MULTIPOLYGON`, when appropriate. Closes issues 41 151 135 172
* fix typo in `geobr::grid_state_correspondence_table`. Closes 187
* argument `tp` fully deprecated and replaced with `simplified`. No more warning message
* sample data with life expectancy of Brazilian states in 2017. To be used in vignette

New data sets/functions
* data set `read_neighborhood` to read neighborhood limits of Brazilian municipalities - closes issue 104 (added in 2020-03).

Major changes
* New argument `showProgress` to display progress bar. Defaults to `TRUE`
* Argument `tp` was deprecated and replaced by argument `simplified` that needs to be either `TRUE` or `FALSE`. This should only affect user who have previously used `tp=TRUE`, who now should write `simplified=FALSE`

Minor changes
* reorganization of internal support functions to reduce code redundancy
* substantial improvment in test coverage of functions
* substantial improvment in test coverage of functions
* modified package tests using new format of `crs` objects. Following `sf` package update `v0.9-0`

* Launch of **geobr** v1.2 on [CRAN](https://cran.r-project.org/web/packages/geobr/index.html) with the following data sets:

New data sets/functions
* data set `read_metro_area` to read official metropolitan areas - closes issue 2 (added in 2019-12).
* data set `read_municipal_seat` to read the spatial coordinates of municipal seats- closes issue 86 (added in 2019-12).
* function `lookup_muni` to look up municipality codes by their name, or the other way around. closes issue 58 (added in 2019-12)
* function `list_geobr` to list all the datasets available in geobr - Closes issue 57.

Major changes
* MAJOR change of `geobr` to read `geopackage` files, instead of `.rds`. A structural change that will make it easier to maintain both versions of geobr in R and Python (2020-02)
* All functions now have an additional argument `tp` as in data 'type'. This argument defaults to read data sets with 'simplified' borders, what makes the package much more efficient for downloading and plotting the data. Closes issue 76 (2020-02)
* Pretty much all functions now download the data for the entire country as a default. Closes issue 77. The only exceptions are `read_statistical_grid` and `read_census_tract`. These two functions do take a really long time to load the data for the whole country and it might crash R due to memory limits, so the user must be more 'aware' about her choice (2020-02)

Minor changes
* New utils.R script containing support functions to reduce code redundancy (2020-02)

Launch of `geobr` v1.1 on CRAN, including the following functions/datasets

* closes issue 42 (2019-08-05)
* Shows a single download progress bar when `*_code="all"`.
* This fixes the output of vignette

* New data sets/functions
* New data set `read_indigenous_land` to read official data of indigenous lands of all ethnicities according to stage of demarcation - closes issue 47 (2019-09-04).
* New data set `read_disaster_risk_area` to read official data of areas exposed to risks of geodynamic and hydro-meteorological disasters capable of triggering landslides and floods - closes issue 14 (added in 2019-09-24).
* New data set `read_biomes` to read official data of polygons of all of all biomes present in Brazilian territory - closes issue 45 (added in 2019-09-24).
* New function `download_metadata` simply the download of df with data set addresses.
* New data set `read_amazon` to read official data of Brazil's Legal Amazon - closes issue 38 (added in 2019-10-07).
* New data set `read_conservation_units` to read official data of Environmental Conservation Units - closes issue 59 (added in 2019-10-08).
* New data set `read_urban_area` to read official data of urban footprint of Brazilian cities - closes issue 52 (added in 2019-10-17).
* Changes to `read_region` function to improve speed and remove `dplyr`dependency (added in 2019-10-22).
* New data set of biomes (2019) available at scale 1:250.000. (added in 2019-10-31) - closes issue 72
* New data set of Intermediate Regions (2017) (added in 2019-11-28)
* New data set of Immediate Regions (2017) (added in 2019-11-28)