Interactive web-based Geospatial eXplainable Artificial Intelligence for AI model output exploration
Qasem Safariallahkheili
Lab for Geoinformatics and Geovisualization (g2lab), HafenCity University, Hamburg, Germany
Interaction Design Lab, University of Applied Sciences, Potsdam, Germany
Jochen Schiewe
Lab for Geoinformatics and Geovisualization (g2lab), HafenCity University, Hamburg, Germany
Sebastian Meier
Interaction Design Lab, University of Applied Sciences, Potsdam, Germany
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Proc. Int. Cartogr. Assoc., 4, 60, https://doi.org/10.5194/ica-proc-4-60-2021, https://doi.org/10.5194/ica-proc-4-60-2021, 2021
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Proc. Int. Cartogr. Assoc., 4, 69, https://doi.org/10.5194/ica-proc-4-69-2021, https://doi.org/10.5194/ica-proc-4-69-2021, 2021
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Proc. Int. Cartogr. Assoc., 4, 95, https://doi.org/10.5194/ica-proc-4-95-2021, https://doi.org/10.5194/ica-proc-4-95-2021, 2021
Christopher W. Frank, Frank Kaspar, Jan D. Keller, Till Adams, Miriam Felkers, Bernd Fischer, Marcus Handte, Pedro José Marrón, Hinrich Paulsen, Markus Neteler, Jochen Schiewe, Marvin Schuchert, Christian Nickel, Richard Wacker, and Richard Figura
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Short summary
Short summary
Access to high quality weather and climate data is crucial for a wide range of societal and economic issues. It allows optimising industrial processes with respect to efficiency. The goal of the research project FAIR is to simplify the information exchange between the DWD and economical players. This paper summarizes the results of the requirement analysis of three use cases and presents the deduced technical architecture and FAIR services aiming at a user-friendly exchange of weather data.
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J. Schiewe
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 551–558, https://doi.org/10.5194/isprs-archives-XLII-4-551-2018, https://doi.org/10.5194/isprs-archives-XLII-4-551-2018, 2018
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Proc. Int. Cartogr. Assoc., 1, 15, https://doi.org/10.5194/ica-proc-1-15-2018, https://doi.org/10.5194/ica-proc-1-15-2018, 2018