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Handbook of Big Geospatial Data

BuchGebunden
641 Seiten
Englisch
Springererschienen am08.05.20211st ed. 2021
A third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data.mehr
Verfügbare Formate
BuchGebunden
EUR246,09
BuchKartoniert, Paperback
EUR246,09
E-BookPDF1 - PDF WatermarkE-Book
EUR234,33

Produkt

KlappentextA third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data.
Details
ISBN/GTIN978-3-030-55461-3
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2021
Erscheinungsdatum08.05.2021
Auflage1st ed. 2021
Seiten641 Seiten
SpracheEnglisch
Gewicht1200 g
IllustrationenXI, 641 p. 222 illus., 148 illus. in color.
Artikel-Nr.48791431

Inhalt/Kritik

Inhaltsverzeichnis
I Introduction.- II Spatial Big Data Platforms & Infrastructures.- III Spatial Data Acquisition.- IV Indexing and Retrieval of Spatial Big Data.- V Scalable Algorithms for Spatial Analytics.- VI Data Mining, Machine Learning and Artificial Intelligence.- VII Visualization & Interaction.- VIII Applications.mehr

Schlagworte

Autor

Martin Werner: The research area of Prof. Werner (1984) includes methodological research around topics of acquisition, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. He puts emphasis on methods of distributed computing, machine learning, image and text analysis, randomized data structures, high performance computing and quantum algorithms.

Martin Werner studied mathematics at University Bonn, did a doctorate at the intersection of geometry and applications related to indoor navigation at LMU Munich. In his time as a postdoctoral researcher, junior professor, and senior researcher he completed his view on the processing of spatial data to a comprehensive perspective with stations at LMU Munich, Leibniz-University Hannover, German Aerospace Center (DLR), and UniBW Munich. In April 2020 he joined the faculty of aerospace and geodesy with a professorship for Big Geospatial Data Management.
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