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Geographic Information Science at the Heart of Europe

Part of the series Lecture Notes in Geoinformation and Cartography pp 207-224

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Error-Aware Spatio-Temporal Aggregation in the Model Web

  • Christoph StaschAffiliated withInstitute for Geoinformatics, University of Münster Email author 
  • , Edzer PebesmaAffiliated withInstitute for Geoinformatics, University of Münster
  • , Benedikt GraelerAffiliated withInstitute for Geoinformatics, University of Münster
  • , Lydia GerharzAffiliated withInstitute for Geoinformatics, University of Münster

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Abstract

Spatio-temporal aggregation of observed or predicted values for environmental phenomena is needed for fusing sensor data or coupling sensors and environmental models. However, estimates from sensors or environmental models can never represent our world precisely and are subject to errors. Hence, there is uncertainty in the estimates that needs to be considered in environmental model workflows. This chapter presents an approach for an error-aware spatio-temporal aggregation in the Web, where probabilistic uncertainties are used within a Monte Carlo simulation. The approach is applied in a Web-based model chain that provides uncertain crop yield predictions on field parcel level that are aggregated to larger regions.