Raster Info Tool based on Shiny R

Dear GIS enthusiasts!

As you already know, R is my favourite tool to work with spatial (raster) data. In some situations however, I am forced to move to a GIS desktop softwarer (à la QGIS) to get some basic information on my raster file. Since switching inbetween two softwares is annoying over time, I started to develope a raster information interface based on shiny and the raster package. This interface is supposed to merge these two software applications into one handy application. Today I made the first demo release v. 0.1. available on github.

These are the current features:

  • First,  just plug in the path of your raster (stack) and start the app.
  • You will get a plot overview depicting your raster along with base information such as number of layers, resolution and projection:

Raster Infor Tool Interface

  • Switch to the basemap tab to get more information on the geograpic context and land cover of your raster image. The location of the basemap automatically snaps to the location of your raster image:

Raster Info basemap

  • Get more information on the pixel values of your raster. This feature works very similar as the value tool plugin in QGIS. Simply click on a pixel and get the plot through the raster stack and the corresponding values in a table.

Raster Infor Tool Interface Raster Info value tool

  • Time Series filtering preview: Overlay the time-series plot with two filtering algorithms: Savitky-Golay and Whittaker.

I hope you like the tool. Please keep in mind that this is a first demo release and more features will be available in the future. If you would like to contribute to this project, get in touch with me or simply fork the repo in github.




About This Author

Martin was born in Czech Republic and studied at the University of Natural Resources and Life Sciences, Vienna. He is currently working at GeoVille - an Earth Observation Company based in Austria, specialised in Land Monitoring. His main interests are: Open-source applications like R, (geospatial) statistics and data-management, web-mapping and visualization. He loves travelling, geocaching, photography and sports.

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  • Thank you! I’ve been looking for a similar tool. Very helpful!

    Rollan 6 years ago Reply

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