Select and filter LAGOSNE data with keyword helpers.
Usage
lagosne_select(
table = NULL,
vars = NULL,
categories = NULL,
dt = lagosne_load(lagosne_version())
)
Arguments
- table
character name of a dt table
- vars
character vector of specific column names to select from table
- categories
what type of variables should be kept. Note not all scale-category options are available. Variable categories include:
"waterquality" - includes all in-situ chemistry, chlorophyll, and water clarity measurements from the epi_nutr table.
"deposition" - all atmospheric deposition variables from the .chag tables
"hydrology" - baseflow, groundwater, runoff, and overland flow variables from the .chag tables
"climate" - 30-year normal precipitation and temperature variables from the .chag tables
"geology" - all surficial geology variables from the .chag tables
"topography" - Terrain Roughness Index and slope variables from the .lulc tables
"lulc1992" - all 1992 land use/land cover variables from the .lulc tables
"lulc2001" - all 2001 land use/land cover variables from the .lulc tables
"lulc2006" - all 2006 land use/land cover variables from the .lulc tables
"lulc2011" - all 2011 land use/land cover variables from the .lulc tables
"lakes" - all lake connectivity metrics from the .conn tables
"wetlands" - all wetland connectivity metrics from the .conn tables
"streams" - all stream/river connectivity metrics from the .conn tables
- dt
data.frame of local copy of LAGOSNE data. Can be loaded with
lagosne_load
and will use version as specified inlagosne_version
.
Examples
if (FALSE) {
dt <- lagosne_load("1.087.3")
# specific variables
head(lagosne_select(table = "epi_nutr", vars = c("tp", "tn")))
head(lagosne_select(table = "iws.lulc", vars = c("iws_nlcd2011_pct_95")))
# categories
head(lagosne_select(table = "epi_nutr", categories = "waterquality"))
head(lagosne_select(table = "county.chag", categories = "hydrology"))
head(lagosne_select(table = "hu4.chag", categories = "deposition"))
# mix of specific variables and categories
head(lagosne_select(table = "epi_nutr", vars = "lagoslakeid", categories = c("waterquality")))
}