r-raster-vector-geospatial | Introduction to Geospatial Raster and Vector Data with R | Dataset library

by datacarpentry R Version: v2023.02.06 License: Non-SPDX

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

kandi X-RAY | r-raster-vector-geospatial Summary

r-raster-vector-geospatial is a R library typically used in Artificial Intelligence, Dataset applications. r-raster-vector-geospatial has no bugs, it has no vulnerabilities and it has low support. However r-raster-vector-geospatial has a Non-SPDX License. You can download it from GitHub.

Introduction to Geospatial Raster and Vector Data with R

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Support

r-raster-vector-geospatial has a low active ecosystem.

It has 105 star(s) with 100 fork(s). There are 30 watchers for this library.

It had no major release in the last 12 months.

There are 48 open issues and 134 have been closed. On average issues are closed in 225 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of r-raster-vector-geospatial is v2023.02.06

Quality

r-raster-vector-geospatial has no bugs reported.

Security

r-raster-vector-geospatial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

r-raster-vector-geospatial has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

r-raster-vector-geospatial releases are available to install and integrate.

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r-raster-vector-geospatial Key Features

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r-raster-vector-geospatial Examples and Code Snippets

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Community Discussions

Trending Discussions on r-raster-vector-geospatial

R runs out of memory plotting data frame with ggplot2

QUESTION

R runs out of memory plotting data frame with ggplot2

Asked 2020-May-01 at 04:51

I'm running R on Fedora 31 on a Dell XPS laptop with 8Gb RAM. I'm attempting to plot this GeoTIFF using ggplot2, so that I can overlay other data using code I've already written with ggplot2. I've been roughly following this lesson on working with raster data in R. After converting the TIFF into a RasterLayer into a data frame, the R program fails when loading the data frame with ggplot2, simply outputting "Killed" and exiting.

Here is a minimal code sample that produces this error:

...

ANSWER

Answered 2020-May-01 at 04:51

I cannot speak to the memory requirements of ggplot but the spatial resolution of the data is very high (~ 90m). There is no point in asking ggplot to draw 10955 (rows) * 17267 (columns) = 189,159,985 pixels as you won't be able to see them (unless, perhaps you are printing a billboard). So a simple workaround is to take a regular sample, or to aggregate

Source https://stackoverflow.com/questions/61535383

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

Vulnerabilities

No vulnerabilities reported

Install r-raster-vector-geospatial

You can download it from GitHub.

Support

The lesson files to be edited are in the _epiodes_rmd folder. This repository uses the master branch for development.You can visualize the changes locally by typing make serve at your terminal. The site will be rendered at http://localhost:4000Each time you push a change to GitHub, Travis-CI rebuilds the lesson, and when it's successful (look for the green badge at the top of the README file), it publishes the result at http://www.datacarpentry.org/r-raster-vector-geospatial/Note: any manual commit to gh-pages will be erased and lost during the automated build and deploy cycle operated by Travis-CI.Leah WasserJoseph StachelekTyson SwetnamLauren O'BrienJanani SelvarajLachlan DeerChris PrenerJuan Fung

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