makeVectorMap: Make a vector map of the wind field

In nwagenbrenner/windtools: Tools to process and visualize wind data

Description

makeVectorMap returns a ggmap object of the vector field

Usage

makeVectorMap(df, lat, lon, zoom, maptype, min_time = 0, max_time = 23,
  colorscale = "discrete", axis_labels = TRUE, scaling_factor = 800,
  hourly_averaging = TRUE)

Arguments

df	dataframe
lat	center lat of Google Maps image
lon	center lon of Google Maps image
zoom	zoom for Google Maps image (1-20)
maptype	type of Google Maps image (terrain, hybrid, satellite, roadmap)
min_time	starting hour (0-23, default=0)
max_time	ending hour (0-23), default=23)
colorscale	color scale to use for vectors (discrete or continuous)
axis_labels	whether or not to plot axis labels on map (TRUE or FALSE)
scaling_factor	controls the size of the wind vectors
hourly_averaging	whether or not the data should be averaged by hour

Details

This fucntion returns a vector plot of the wind field overlayed on a static Google Maps image. If hourly_averaging is TRUE, the data will be averaged by the hour and the plot will be faceted on the hour. If hourly_averaging is set to FALSE, the data will be averaged by plot location only.

Value

ggmap object representation of the wind field

Examples

data(wind)
#' #hourly vector maps for cases when R2 measured speeds < 6 m/s
s <- subsetOnSpeed(wind, 'R2', '<', 6.0)
m <- makeVectorMap(s, 43.45, -113.15, 12, 'terrain')
#average vector map for a specific time period
t<-as.POSIXct(strptime("2010-08-16 11:00:00", '%Y-%m-%d %H:%M:%S'))
s <- subset(wind, subset=(datetime == t))
m <- makeVectorMap((s, 43.45, -113.15, 12, 'terrain', hourly_averaging=FALSE)

nwagenbrenner/windtools documentation built on May 24, 2019, 10:56 a.m.