👉 github.com/ipeaGIT/geobr
This thread will periodically bring news with updates of the package. RT or Like it to stay tuned!
![Image](https://pbs.twimg.com/media/D-ZRNb-XUAA5bj2.png)
![Image](https://pbs.twimg.com/media/D-ZRPCuWwAA6kuA.png)
# of a municipality
w <- read_weighting_area(code_weighting=5201108)
# of a state
w <- read_weighting_area(code_weighting="DF")
![Image](https://pbs.twimg.com/media/D-kfoVJXUAAOLjp.png)
![Image](https://pbs.twimg.com/media/D-u3TrKX4AASb_l.png)
# Municipality
read_census_tract(code_tract=5201108, year=2000)
# State
read_census_tract(code_tract="AM", year=2010)
# Country
read_census_tract(code_tract="all")
![Image](https://pbs.twimg.com/media/EAfjJ60WkAAZAYY.png)
👉 cran.r-project.org/web/packages/g…
Proud of this team contribution from @ipeaonline to the #rspatial community. Pls help spread the word
![Image](https://pbs.twimg.com/media/EBNdSiTXsAAThGb.png)
![Image](https://pbs.twimg.com/media/EBNdSifWkAMFXCH.png)
![Image](https://pbs.twimg.com/media/EBNdSigWkAAaG4v.png)
i <- read_indigenous_land(date=201907)
Thks
@CSchmert
for suggesting the dataset!
![Image](https://pbs.twimg.com/media/EDpNaNWXsAIOFGG.png)
b <- read_biomes(year=2004)
more info at: github.com/ipeaGIT/geobr
![Image](https://pbs.twimg.com/media/EFQNz75XoAEBg-B.png)
d <- read_disaster_risk_area(year=2010)
more info at: github.com/ipeaGIT/geobr
a <- geobr::read_amazon()
more info at: github.com/ipeaGIT/geobr #rstats #rspatial
![Image](https://pbs.twimg.com/media/EGXl5qvW4AMGAvV.png)
u <- geobr::read_urban_area(year=2015)
more info at: github.com/ipeaGIT/geobr #rstats #rspatial
![Image](https://pbs.twimg.com/media/EH460ncW4AUAnw5.png)
b <- read_biomes()
more info at github.com/ipeaGIT/geobr
![Image](https://pbs.twimg.com/media/EIT2jfEXYAAXvrc.png)
![Image](https://pbs.twimg.com/media/EKaOZRQXUAEdIfN.png)
![Image](https://pbs.twimg.com/media/EKaOZSVXUAYR82M.png)
inter <- read_intermediate_region()
imme <- read_immediate_region()
![Image](https://pbs.twimg.com/media/EKfYniqXsAIrCFo.png)
![Image](https://pbs.twimg.com/media/EK3pj7kXkAA2UpJ.png)
- region
- state
- meso and micro regions
- intermediate and immediate regions
- municipality
- weighting area
- census tract
- statistical grid
- urban area
- health facility
- indigenous land
- conservation unit
- biome
- legal Amazon
- semiarid
- disaster risk area
> lookup_muni(name_muni = 'Paraty')
> lookup_muni(code_muni = '3303807')
Thanks @ckauebraga for the the contribution!
![Image](https://pbs.twimg.com/media/ENDHyRXXsAA5cC_.jpg)
m <- read_metro_area(year = 2001)
Reproducible code for this figure here 👉gist.github.com/rafapereirabr/… #rspatial
![Image](https://pbs.twimg.com/media/ENX2AXpWkAADopm.png)
df <- list_geobr()
![Image](https://pbs.twimg.com/media/EPc3iU6XUAED1Km.png)
![Image](https://pbs.twimg.com/media/EPc3iVzWAAIDsbd.png)
- Functions now have a 'tp' argument as in data 'type'. Downloading + plotting the data has become waaaay faster!
- The package now downloads data in #geopackage format. This will simplify our work maintaining both versions in #rstats & #Python
News:
- the package is much faster
- new data on metropolitan areas
- new data on municipal seats
- new fun to look up code of municipalities
- new fun to list all data sets available in geobr
![Image](https://pbs.twimg.com/media/ERNwlZvWsAIdwhO.png)
![Image](https://pbs.twimg.com/media/ERNwnMFU4AAZXYe.png)