Keynote: Algorithms for Large Geospatial Data Sets

Funke, Stefan

doi:10.22032/dbt.66095

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JOURNAL ARTICLE

Keynote: Algorithms for Large Geospatial Data Sets

Funke, Stefan

Year: 2025 Journal: Thüringer Universitäts- und Landesbibliothek

DOI: 10.22032/dbt.66095

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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.

Keywords:

Geospatial analysis Context (archaeology) Field (mathematics) Efficient algorithm Data collection

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Topics

Geographic Information Systems Studies

Social Sciences → Social Sciences → Geography, Planning and Development

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Data-Driven Disease Surveillance

Health Sciences → Medicine → Epidemiology

Keynote: Algorithms for Large Geospatial Data Sets

Abstract

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