GRASS GIS always has been lacking proper meta data support. But that has changed with the (relative) new wx.metadata add-on, which includes advanced tools for metadata management according to ISO 19115. It was developed during the Google Summer Code 2014 by Matej Krejci and is available through g.extension for GRASS GIS 7.1. The main tool to create or edit meta data is the g.gui.metadata function.
Below I’ll walk you through the main steps to get and use this tool. For a more detailed explanation of the different options available in wx.metadata and the installation requirements, see the grass wiki page. Continue reading →
GRASS GIS can export your raster layer in most common (and quite a few less common) data formats using the r.out.gdal function (menu: file – export raster map – common raster formats). Exporting is so simple that you may forget that depending on the output format there are different options to optimise your output raster layer. Continue reading →
NASA offers access to its MODIS and ASTER data sets through Reverb|Echo. The data comes in HDF format and uses the Sinusoidal grid tiling system. If your gdal is compiled with HDF4 support (use ./configure –with-hdf4), you can use gdal, or any software that uses gdal, to open the downloaded MODIS tiles directly. For example in QGIS as explained here or in GRASS GIS.
A quick note (to myself mostly) about how to extract lines from a text file that end with a specific set of characters. In Linux, you can very easily do this using ‘grep’ or ‘sed’. But, first a little bit of background. Continue reading →
The Multivariate Environmental Similarity Surfaces (MESS) is an index that represents how similar a point in space is to a reference set of points, with respect to a set of predictor variables (Elith et al 2010). The function was first implemented as part of the Maxent software package, and is also available in the dismo package for R (see also here and here).
The latter works well on small and medium sized data sets. However, they take a long time to run on larger data sets, e.g., when working with 1km² raster grids covering eastern Africa. I therefore wrote a small R script to compute MESS in GRASS GIS. Continue reading →
NASA offers a very convenient web-based tool to select and download the tiles you need; Reverb / ECHO. The tiles are in HDF format and use the Sinusoidal grid tiling system (proj4 definition: +proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs). But you probably want to have the data in another data format and in another projection. NASA offers a very convenient cross-platform tool to reproject and convert the data (it also makes it very easy to mosaic tiles): the Modis Reprojection Tool (MRT).
But something I didn’t know is that it is also possible to open the tiles directly in QGIS. Continue reading →
Freeplane is a great mind mapping software. I use it e.g., to jot down and organize notes from articles I am reading, creating lists of software, relevant websites, etc.
One of the advantages of Freeplane is that you can export your mind map in many formats. This including different formats for online publishing, e.g., as java applet or a clickable map image version.The java applet offers a basic interface to your mindmap, including search and expanding / collapsing of the nodes. Continue reading →