monitor_map: Static map of monitoring stations

In MazamaScience/PWFSLSmoke: Utilities for Working with Air Quality Monitoring Data

Static map of monitoring stations

Description

Creates a map of monitoring stations in a given ws_monitor object. Individual monitor timeseries are reduced to a single value by applying the function passed in as slice to the entire timeseries of each monitor with na.rm=TRUE. These values are then plotted over a map of the United States. Any additional arguments specified in '...' are passed on to the points() function.

If slice is an integer, it will be used as an index to pull out a single timestep.

If slice is a function (not a function name) it will be used with argument na.rm=TRUE to collapse the time dimension. Thus, any user defined functions passed in as slice must accept na.rm as a parameter.

Usage

monitor_map(
  ws_monitor,
  slice = get("max"),
  breaks = AQI$breaks_24,
  colors = AQI$colors,
  pch = par("pch"),
  cex = par("cex"),
  stateCol = "grey60",
  stateLwd = 2,
  countyCol = "grey70",
  countyLwd = 1,
  add = FALSE,
  ...
)

Arguments

ws_monitor	ws_monitor object
slice	either a time index or a function used to collapse the time axis
breaks	set of breaks used to assign colors
colors	set of colors must be one less than the number of breaks
pch	Plot symbols used to draw points on the map.
cex	the amount that the points will be magnified on the map
stateCol	color for state outlines on the map
stateLwd	width for state outlines
countyCol	color for county outline on the map
countyLwd	width for county outlines
add	logical specifying whether to add to the current plot
...	additional arguments passed to maps::map() such as 'projection' or 'parameters'

Details

Using a single number for the breaks argument will result in the use of quantiles to determine a set of breaks appropriate for the number of colors.

Examples

library(PWFSLSmoke)

N_M <- monitor_subset(Northwest_Megafires, tlim = c(20150821,20150828))
monitor_map(N_M, cex = 2)
addAQILegend()

MazamaScience/PWFSLSmoke documentation built on July 3, 2023, 11:03 a.m.