How Farms Work – Dirt Work on Earth Day 2020
Earth Day is a perfect time of the year to watch people till the earth.
Earth Day is a perfect time of the year to watch people till the earth.
World-class VIN decoder with comprehensive offline database (2,015+ WMI codes) and NHTSA vPIC API integration
Steve Wunderlich, cattle hoof trimmer and farmer in Northern PA shows the beauty of burning one's own trash.
Often you may want to make maps of Census Data. While you can certainly make good maps using ggplot in R, often using full GIS software like QGIS or ArcMap might be a better option. It is very easy to create shapefiles to use in your favorite GIS application using tidycensus. Changing the resolution setting can help if you are exporting to PDF or SVG from your GIS program to reduce file sizes.
library(tidycensus) # you will need a free Census API, see tidycensus docs
library(sf) # required for export# Use this to find Census variables in RStudio. Browse and search the table for
# desired variables.
# load_variables(2020, “acs5”, cache = TRUE) %>% View()# Get data. By setting geometry = TRUE,
pol <- get_acs(
geography = “county subdivision”,
variables = c(“B04006_061”, “B04006_001”),
survey = “acs5”,
state = “ny”,
year = 2020,
output = ‘wide’,
resolution = ‘500k’,
geometry = T,
)# calculate percent polish
pol$polish <- (pol$B04006_061E/pol$B04006_001E)*100# use .gpkg extension for a geopackage, .kml for a KML file
# saves by default in your RStudio directory but change path to where you want
pol %>% write_sf(‘Polish_Americans.shp’)