Quiver Plots for 'ggplot2'

An extension of 'ggplot2' to provide quiver plots to visualise vector fields. This functionality is implemented using a geom to produce a new graphical layer, which allows aesthetic options. This layer can be overlaid on a map to improve visualisation of mapped data.


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Quiver plots for ggplot2.

Installation

The development version of ggquiver can be installed from Github using:

devtools::install_github("mitchelloharawild/ggquiver")

Usage

ggquiver introduces a new geom geom_quiver(), which produces a quiver plot in ggplot2.

Quiver plots for functions can easily be produced using ggplot aeshetics. When a grid is detected, the size of the vectors are automatically adjusted to fit within the grid.

expand.grid(x=seq(0,pi,pi/12), y=seq(0,pi,pi/12)) %>%
  ggplot(aes(x=x,y=y,u=cos(x),v=sin(y))) +
  geom_quiver()

The ggplot2 example for seal movements is easily reproduced, with appropriately scaled arrowhead sizes. Here, the vecsize is set to zero to not resize the vectors.

ggplot(seals, aes(x=long, y=lat, u=delta_long, v=delta_lat)) + 
  geom_quiver(vecsize=0) + 
  borders("state")

Quiver plots can be centered about x and y coordinates, which is useful when working with maps and scaled vectors.

library(ggmap)
library(dplyr)
 
wind_data <- wind %>% filter(between(lon, -96, -93) & between(lat, 28.7, 30))
qmplot(lon, lat, data=wind_data, extent="panel", geom = "blank", zoom=8, maptype = "toner-lite") + 
  geom_quiver(aes(u=delta_lon, v=delta_lat, colour = spd), center=TRUE)

News

Version 0.1.0 (9 August 2017)

  • Added automatic grid detection
  • Added a NEWS.md.
  • Added geom_quiver() and stat_quiver()
  • Added unit tests

Reference manual

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install.packages("ggquiver")

0.1.0 by Mitchell O'Hara-Wild, 10 months ago


https://github.com/mitchelloharawild/ggquiver


Report a bug at https://github.com/mitchelloharawild/ggquiver/issues


Browse source code at https://github.com/cran/ggquiver


Authors: Mitchell O'Hara-Wild [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr

Depends on ggplot2

Suggests ggmap, maps, testthat


See at CRAN