Error in download file r ggmap

The text was updated successfully, but these errors were encountered:. Hi arthurdawndayne — you're right about your first issue, you need the newer version.

The second issue is a bit more curious, because it appears to be either 1 a bad internet connection, in which case try again, or 2 GitHub refusing to honor the http request. Maybe it doesn't like your IP? I'm happy continuing the conversation, but I'm going to close the issue as it does not appear to pertain to ggmap. Sorry, something went wrong. Thanks the replyy dkahle, indeed it was a connection issue. Worked when I tried from my personal computer.

Error in download. If you get similar errors, just keep squashing them by installing the packages it needs. It only takes a minute to sign up. Connect and share knowledge within a single location that is structured and easy to search.

I would like to use the ggmap package to download and display maps. Unfortunately I have some firewall restrictions preventing R from accessing the internet directly. I have figured out how to do this. First of all you need to download the ggmap library in order to work with it later.

Try this code out! Depending on what you want to do with the data afterwards, you may want to have a look at the source code of dismo::gmap. The only thing you'd have to do is split the function body into two parts which.

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Create a free Team What is Teams? Learn more. Save and load maps for ggmap to use without internet access Ask Question.

The geocoding API is a free service, but you nevertheless need to associate a credit card with the account. You will need to ensure that you have the latest version of ggmap installed on your system. The current version on CRAN is 3. The code snippet below shows a minimum-working-example of how you can map coordinates using ggplot. I have stored the key itself in a private text file. The getOption "ggmap" function summarises the Google credentials to check how you are connected.

The geocode function converts the request into a URL and captures the output into a data frame. The plot shows the places I have lived, projected orthogonally on the globe. The mapproj library provides the orthogonal projection.