Releasing RQGIS 0.2.0

Today we are happy to announce a new version of RQGIS! RQGIS establishes an interface between R and QGIS, i.e. it allows the user to access the more than 1000 QGIS geoalgorithms from within R. The most important news is that you can run again the most recent QGIS releases (>=2.18.2) with RQGIS without having to modify Python source code. This modification became necessary due to a bug introduced in QGIS 2.16 (see here).

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This release also fixes several bugs which we detected thanks to user feedback. Please refer to the release news for more detailed information.

Before running RQGIS, you need to install third-party software. To guide you through the installation process of QGIS, GRASS and SAGA on various platforms, we wrote a package vignette. To install RQGIS and to access the vignette, please run:

install.packages("RQGIS")
vignette("install_guide", package = "RQGIS")

For more information on RQGIS and examples how to use RQGIS, please refer to its github page and my blog.

Spring school on Statistical analysis of hyperspectral and high-dimensional remote-sensing data

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We are happy to announce the MSCJ-LIFE spring school on Statistical analysis of hyperspectral and high-dimensional remote-sensing data. The spring school will take place in Jena (Germany) at the GIScience department of the Friedrich-Schiller University on March 13-17 2017. We invite participants from a wide range of disciplines interested in high-dimensional (geo-)data manipulation, viszualization and analysis mainly using R. International experts will provide a mixture of theory and hands-on sessions. Here you can find more information about the training school as well as the program. The deadline for applicants is January 31st 2017 (late applications accepted if places remain). Please apply through this link. We would be grateful if you distributed this information to all people potentially interested in this spring school, and are looking forward to welcoming you in Jena this spring!