get_data: get_data

In wenlong-liu/ggfertilizer: Retrieve, Summarize and Visualize the Fertilizer Data in USA

Description

This function will return the full dataset (or a subset based on input parameters) of county-level estimates of fertilizer application quantity. The fertilizer application type includes farm and non-farms. The dataset was primarily cleaned into Tidy data. Details are availalble via <https://cran.r-project.org/web/packages/usfertilizer/vignettes/Introduction.html>

Usage

get_data(data, nutrient = NULL, input_type = NULL, farm_type = NULL,
  years = NULL, counties = NULL, states = NULL, lat_max = NULL,
  lat_min = NULL, long_max = NULL, long_min = NULL, FIPSs = NULL,
  overlap_state_county = TRUE, combine_state_county = FALSE)

Arguments

data	the dataset to work with, generally the full usfertilizer or its subsets.
nutrient	fertilizer type of interest, default: both Nitrogen and Phosphorus.
input_type	the source of nutrient, e.g. fertilizer or manure.
farm_type	where the fertilizer was applied. e.g. farm, nonfarm.
years	start year to show data, e.g. 1994, 2000:2005.
counties	counties of interest, defalut: all avaible counties.
states	states of interest, defalt: all avaialble states.
lat_max	the maximum latitude of area of interest.
lat_min	the minmum latitude of area of interest.
long_max	the maximum longitude of area of interest.
long_min	the minimum longitude of area of interest.
FIPSs	FIPS numbers of interest, defalut: all the counties.
overlap_state_county	Logic. If true, the function will overlaping the input of states and counties. If false, the function will return results either in the states or in the counties.
combine_state_county	Logic. If true, the county will be changed into county, state, e.g. Wake, NC; If false, no changes.

Value

A tibble with tidy data.

See Also

link(get_FIPS)

Examples

data = fertilizer
get_data(data, counties = "Wake")
get_data(data, years = 1990)
get_data(data, nutrient = "N", years = 2003, states = "NC", FIPSs = 37145)

wenlong-liu/ggfertilizer documentation built on May 28, 2019, 8:43 a.m.