1 / 6

Geospatial and Geotemporal Informatics

Geospatial and Geotemporal Informatics. Monika Sester Institute of Cartography and Geoinformatics Leibniz Universität Hannover. What is solved ?. Topological data structures LBS: “Where is next restaurant ?” Industry has taken over Earth Viewers Industry has taken over .

avon
Download Presentation

Geospatial and Geotemporal Informatics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Geospatial and Geotemporal Informatics Monika Sester Institute of Cartography and Geoinformatics Leibniz Universität Hannover

  2. What is solved ? • Topological data structures • LBS: “Where is next restaurant ?” • Industry has taken over • Earth Viewers • Industry has taken over

  3. What has failed ? • Quality / uncertainty handling: • Beyond Epsilon-band ?? • No solutions for • Mix of nominal and geometric quality measures • Propagation of quality in analysis processes • Communication / visualization of quality parameters • Surprisingly (yet) low success: • Use of AI-techniques • E.g. ML for knowledge acquisition

  4. What is missing ? • Geosensor networks: • Where are the real applications ? • Methods for structure recognition in spatial data sets • Detect higher level structures in geodata • Use of techniques from image analysis, e.g. • Implicit shape models • Symmetry detection • Structural learning

  5. What is next ? Hot Topics • Semantics • Temporal data – moving objects • Spatial data interpretation / data mining • Fusion of geodata, especially image and vector, but also data from different ontologies • Multiscale issues • Ubiquitous computing • Neo-Geography • Geosensor networks • Applications: • Traffic • epidemiology

  6. Hot Topics • Geosensor networks • User-generated geospatial content • New representations: • integrate low and high level data (e.g. raw image data and interpreted GIS-data) • On-the-fly interpretation and integration facilities • Quality management • Storage concepts, aggregation concepts

More Related