ggquiver | R package for quiver plots in 'ggplot2 | Data Visualization library

by mitchelloharawild R Version: v0.3.2 License: No License

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ggquiver Summary

ggquiver is a R library typically used in Analytics, Data Visualization applications. ggquiver has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

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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Support

ggquiver has a low active ecosystem.

It has 46 star(s) with 2 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 9 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ggquiver is v0.3.2

Quality

ggquiver has 0 bugs and 0 code smells.

Security

ggquiver has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ggquiver code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ggquiver does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

ggquiver releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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ggquiver Key Features

No Key Features are available at this moment for ggquiver.

ggquiver Examples and Code Snippets

ggquiver,Usage

Lines of Code : 14

License : No License

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library(ggplot2)
library(ggquiver)
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()

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

ggquiver,Installation

Lines of Code : 3

License : No License

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install.packages("ggquiver")

# install.packages("remotes")
remotes::install_github("mitchelloharawild/ggquiver")

Community Discussions

Trending Discussions on ggquiver

calculate and plot vector field of an arbitrary rasterLayer

QUESTION

calculate and plot vector field of an arbitrary rasterLayer

Asked 2020-May-13 at 13:05

Problem statement:

With ggquiver::geom_quiver() we can plot vector fields, provided we know x, y, xend, and yend.

How can I calculate these parameters for an arbitrary RasterLayer of elevations?
How can I ensure that the size of these arrows indicates the slope for that particular vector such that the arrows appear different lengths proportional to the gradient at that location (e.g., the first plot below)?

Background: ...

ANSWER

Answered 2020-May-13 at 13:05

Effectively what you're asking is to convert a 2D scalar field into a vector field. There are a few different ways to do this.

The raster package contains the function terrain, which creates new raster layers that will give you both the angle of your desired vector at each point (i.e. the aspect), and its magnitude (the slope). We can use a little trigonometry to convert these into the North-South and East-West basis vectors used by ggquiver and add them to our original raster before turning the whole thing into a data frame.*

Source https://stackoverflow.com/questions/61648480

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ggquiver

The stable version can be installed from CRAN:.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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