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The spacey package provides three main functions to make it easy to quickly build beautiful maps of locations in the United States via the [rayshader]( package. First off, it provides an automap function to quickly make maps using data from the USGS national map:

automap(44.121268, -73.903734)

As well as letting you incorporate overlay textures from ESRI’s MapServer API:

automap(44.121268, -73.903734, overlay = "World_Imagery")

And optionally even turn these into 3D visualizations:

  overlay = "World_Imagery",
  method = "3d"

And while automap tries to make it easy to configure these maps, spacey also lets you save off your heightmaps and overlays directly, either through arguments to automap or the functions get_heightmap and get_overlay, so that you can work directly with rayshader to make these maps by yourself.

There’s a lot more to these three functions, alongside a few basic geospatial utilities spacey implements to make it easier to make maps from your data. For more information, check out the introductory vignette! ## Installation

If the CRAN version badge above is green, you can install the released version of spacey from CRAN with:


You can always get the most up-to-date development version with:

# install.packages("devtools")


At the moment, spacey consists mainly of the following functions:

It also includes several helper functions, including:


At the moment, spacey is only able to retrieve data from the USGS National Map API, limiting its use to the United States. If you have a good API for other regions, open an issue or submit a PR!

Similarly, most geospatial calculations implemented in this package don’t deal well with areas near the poles or Prime Meridian. Given the spatial constraints of the USGS dataset, this isn’t a problem for current use cases, but be careful extending these functions outside of this package.

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spacey documentation built on March 15, 2020, 1:07 a.m.