Keynote: Algorithms for Large Geospatial Data Sets

In recent years, there has been a dramatic growth of geospatial data collected by companies like Apple or Google but also in the course of collaborative projects like OpenStreetMap (OSM). In this talk I will touch upon some algorithmic challenges (and solutions) in the context of such large data sets.

Publication Details

Journal
Thüringer Universitäts- und Landesbibliothek
Published
2025-05-14
DOI
https://doi.org/10.22032/dbt.66095
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
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article

Keynote: Algorithms for Large Geospatial Data Sets

Thüringer Universitäts- und Landesbibliothek
Geographic Information Systems Studies
article

Keynote: Algorithms for Large Geospatial Data Sets

article en

Abstract

In recent years, there has been a dramatic growth of geospatial data collected by companies like Apple or Google but also in the course of collaborative projects like OpenStreetMap (OSM). In this talk I will touch upon some algorithmic challenges (and solutions) in the context of such large data sets.

Thüringer Universitäts- und Landesbibliothek
Industry, innovation and infrastructure
Openalex Percentile: Top 45%
Geographic Information Systems Studies
DOIOpen Access PDFOpenAlex
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Keynote: Algorithms for Large Geospatial Data Sets · Thüringer Universitäts- und Landesbibliothek (2025) | TGRS Research Map | TGRS