v1.6.1

geobr v1.6.1

Minor changes

• Improved check_connection() to fail gracefully. Return message, no error.

v1.6.0

geobr v1.6.0

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.

v1.5-1

geobr v1.5-1

Minor changes

• Fixed unnecessary warning about internet connection. Closes #200.

v1.5

geobr v1.5

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

v1.4

geobr v1.4 2020-10-04

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

v1.3

geobr v1.3 (2020-03-30)

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

v1.2

• Launch of geobr v1.2 on CRAN 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)

v1.1

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 dplyrdependency (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)

v1.0

Launch of geobr v1.0 on CRAN, including the following functions/datasets

• read_country
• read_region
• read_state
• read_meso_region
• read_micro_region
• read_municipality
• read_weighting_area
• read_census_tract
• read_statistical_grid
• read_health_facilities

v0.03

• New data weighting areas (áreas de ponderação) of Brazilian 2010 Census
  ** New function read_weighting_area()