If your mapset contains many raster or vector layers GRASS offers a very handy feature to quickly select the layers you want to add to your current map display. In the layer manager, click Ctrl+Shift+L to open the ‘add selected map layers into layer tree’ window. Continue reading “Add multiple raster or vector map layers to current map display in GRASS GIS”
Selecting multiple layers in the GRASS GIS wypython layer manager has always been possible. But there wasn’t much point to it. You couldn’t do anything with the multiple selections, no zooming, removing nor setting the region for multiple layers. Trying to remove all selected layers for example would just remove the first of the list of selected layers.
This missing feature has always bugged me. But stupid enough, I have never taken the trouble to file a bug or feature request. Luckily somebody else did make the effort to file a feature request. And guess what, 36 hours after the ticked was opened, it has already been implemented! Pretty amazing I think. Continue reading “Selecting multiple layers in the GRASS GIS layer manager”
In the latest development version of GRASS GIS (version 7.0) there is now the option to switch between different command dialogue styles. There are 4 styles, 3 of them are new and they are providing platform native look. The two basic styles inherit system colours, which might be good news for people with unusual themes. See the announcement in the GRASS-dev email list for more information. And check out some screenshots below. Continue reading “New command dialogue styles for GRASS GIS”
The package Reshape2 in R is a very powerful tool to flexibly restructure and aggregate data. For users familiar with the pivot table function in Excel or Libreoffice/Openoffice, this tool offers similar (and more) functionality, albeit from the command line.
It’s flexibility comes with a price, it may not be extremely intuitive for the beginner. Continue reading “ReshapeGUI – a tool to learn to use reshape2”
Although some users would prefer a graphical user interface for R, the arguably best way to work with R is through the command line. This can be done directly in the R console, but often it is more convenient to write scripts in a separate file, instead of typing them directly in the console. This requires a text editor, and you can of course use the default one that comes with your OS. However, there are text editors that offer different levels of integration with R. Below are the ones I tried. Continue reading “Which text editor to use with R?”
The arguably best way to work with R is through the command line. Some even argue that the use of a graphical user interface (GUI) should be completely discouraged. And that is where I disagree. The command line can be quit intimidating for the new or occasional users, who may therefore benefit from a GUI. There are a number of different GUI available, for example R commander, JGR, Deducer (which includes a very nice plot builder), RKward, Rattle (geared towards data mining) and BiodiversityR (focuses on biodiversity analysis). None of them offer the same sophisticated graphical interface as e.g., S plus or SPSS, but they are in general easy to use and quit suitable for the more common type of analyzes. What they have in common is that while providing you with an graphical interface, they also show you the commands generated via the point and click dialogs. This helps in getting to know the R syntax and thus simplifies the learning curve of R. Continue reading “Why a GUI for R isn’t always a bad idea”