ggmap (version 2.0)

qmplot: Quick map plot

Description

qmplot is the ggmap equivalent to the ggplot2 function qplot and allows for the quick plotting of maps with data/models/etc. qmplot is still experimental.

Usage

qmplot(x, y, ..., data, zoom, source = "stamen",
    fullpage = TRUE, facets = NULL, margins = FALSE,
    geom = "auto", stat = list(NULL),
    position = list(NULL), xlim = c(NA, NA),
    ylim = c(NA, NA), main = NULL, f = 0.05,
    xlab = deparse(substitute(x)),
    ylab = deparse(substitute(y)))

Arguments

x

longitude values

y

latitude values

...

other aesthetics passed for each layer

data

data frame to use (optional). If not specified, will create one, extracting vectors from the current environment.

zoom

map zoom, see get_map

source

map source, see get_map

fullpage

should the map fill the device

facets

faceting formula to use. Picks facet_wrap or facet_grid depending on whether the formula is one sided or two-sided

margins

whether or not margins will be displayed

geom

character vector specifying geom to use. defaults to "point"

stat

character vector specifying statistics to use

position

character vector giving position adjustment to use

xlim

limits for x axis

ylim

limits for y axis

main

character vector or expression for plot title

f

number specifying the fraction by which the range should be extended

xlab

character vector or expression for x axis label

ylab

character vector or expression for y axis label

Examples

qmplot(lon, lat, data = crime)
qmplot(lon, lat, data = crime, colour = offense)
qmplot(lon, lat, data = crime, geom = c('point','density2d'))
qmplot(lon, lat, data = crime) + facet_wrap(~ offense)
qmplot(lon, lat, data = crime, fullpage = FALSE) + facet_wrap(~ offense)
qmplot(lon, lat, data = crime, fullpage = FALSE, colour = offense) +
  facet_wrap(~ month)
qmplot(long, lat, xend = long + delta_long,
  yend = lat + delta_lat, data = seals, geom = 'segment')


library(scales)
library(grid)
qmplot(lon, lat, data = wind, size = I(.5), alpha = I(.5))

# thin down data set...
s <- seq(1, 227, 8)
thinwind <- subset(wind,
  lon %in% unique(wind$lon)[s] &
  lat %in% unique(wind$lat)[s]
)

# for some reason adding arrows to the following plot bugs
qmplot(lon, lat, data = thinwind, geom = 'tile', fill = spd, alpha = spd) +
  geom_leg(aes(xend = lon + delta_lon, yend = lat + delta_lat)) +
  scale_fill_gradient2(low = 'green', mid = muted('green'), high = 'red') +
  scale_alpha(range = c(.1, .75))