Plotting GRASS data in Python

GRASS GIS offers some useful but basic plotting options for raster data. However, for plotting of data in attribute tables and for more advanced graphs, we need to use other software tools. In this tutorial I explore some of the possibilities offered by Pandas plot() and how we can further tune plots using matplotlib / pyplot library.

Map of the municipals in Wake County, North Carolina, and for each municipal the distribution of distances to the nearest school (data source: North Carolina sample data set).


GRASS GIS categorical maps and legends

Did you ever add a legend to your categorical raster map in GRASS GIS that displayed many more categories than your map actually has? It can happen if that map was ‘cut out’ from a larger region using r.mapcalc. For example, if I have a vegetation map of eastern Africa, and I need one for Rwanda only. I would do something like: Continue reading “GRASS GIS categorical maps and legends”

Another stab at creating a Tanaka-style contour map

In a recent post Anita Graser (aka underdark) showed how to create illuminated or Tanaka contours in QGIS using various functions available in the toolbox and some custom functions.

Here I want to explore a slightly different way to achieve the same, using GRASS GIS to compute the azimuth, brightness and line width. I’ll use the command line, but you can do the same using the menu in GRASS, or the corresponding GRASS functions in the QGIS processing toolbox.

Continue reading “Another stab at creating a Tanaka-style contour map”

Import GRASS function console output as data.frame in R

In R you can use system calls or the spgrass6 package to run GRASS GIS functions. To do this, you need to run R from within GRASS GIS. This is as simple as starting GRASS GIS and subsequently starting R from the command line. See the GRASS-wiki for a more detailed background.

The issue at hand
One of the user-cases is when you want to (1) run a GRASS function on e.g., a raster layer and (2) capture the console output in a R data frame. For example, you can run the following in R:

MyVariables <- execGRASS("r.stats", flags="c", input="MyMap", separator=",", intern=TRUE)

However, the output is not in a very convenient format. Continue reading “Import GRASS function console output as data.frame in R”