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Geostatistics Community

52°North has yet another emerging community - the Geostatistics Community!

This new community focusses on the modelling and statistical analysis of spatio-temporal data, and on the quantitative expression and visualisation of data accuracy, control of data quality, and error propagation.


We develop software for the modelling and statistical analysis of geospatial and spatio-temporal data. We do this by connecting the 52°North SWE and Geoprocessing communities with analysis and modelling communities, including the community involved in the open source statistical computing environment R, and e.g. atmospheric dispersion modelling communities. One of our immediate goals is to interface the comprehensive statistical functionality of the popular open source R environment to the geospatial user world through open standards, such as those endorsed by the OGC.

Core aims of this community include:

  • the integration of in situ sensing data from fixed or mobile sensors with earth observation (remote sensing) data,
  • the integration of stochastic, statistics-based modelling with physics-based modelling (e.g. transport or diffusion modelling),
  • the analysis of value of information and information deficit, to find out where additional data collection (or modelling) is most effective and needed,
  • exploration and application of GRID, cloud and GPGPU computer infrastructures for high-performance and high-availability geospatial computing.
A strong partner of the geostatistics community is the spatio-temporal modelling lab at the Institute for Geoinformatics (ifgi) of the University of Muenster. The researchers of this group contribute their public work to the 52°North open source initiative to ensure a wide distribution of their work, and to benefit from the partner network and dissemination activities.

Current projects:
  • gstat, one of the leading open source projects for geostatistical modelling, prediction and simulation
  • aguila, a project for the interactive visualisation of spatial and spatio-temporal information that comes as probability distribution functions
  • intamap, a project that has created a web processing service for the automatic interpolation of sensor observation data
  • UncertWeb, an FP7 project that will realize the uncertainty-enabled model web.
Community Leader: Edzer Pebesma



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