Gonschorek, Julia (2020) Geoprofiling in the Context of Civil Security: KDE Process Optimisation for Hotspot Analysis of massive Emergency Location Data. In: 20th International Conference on Computational Science and Its Applications, ICCSA 2020. Springer International Publishing. The International Conference on Computational Science and its Applications (ICCSA 2020), 2020-07-01 - 2020-07-04, Cagliary, Italien. doi: 10.1007/978-3-030-58811-3_42. ISBN 978-3-030-58811-3. ISSN 0302-9743. (im Druck)
Dieses Archiv kann nicht den Volltext zur Verfügung stellen.
Kurzfassung
In the performance of their duties, authorities and organisations with safety and security tasks face major challenges. As a result, the need to expand the knowledge and skills of security forces in a targeted manner through knowledge, systemic and technological solutions is increasing. Of particular importance for this inhomogeneous end user group is the time factor and thus in general also space, distance, and velocity. Authorities focus on people, goods, and infrastructure in the field of prevention, protection, and rescue. For purposive tactical, strategic, and operational planning, geodata and information about past and ongoing operations dispatched and archived at control centers can be used. For that reason, a rule-based process for the geovisual evaluation of massive spatio-tempotal data is developed using geoinformation methods, techniques, and technologies by the example of operational emergency data of fire brigade and rescue services. This contribution to the extension of the KDE for hotspot analysis has the goal to put the professional and managerial personnel in a position to create well-founded geoprofiles based on the spatial-temporal location, distribution, and typology of emergency mission hotspots. In doing so, significant data is generated for the neighborhood of the operations in abstract spatial segments, and is used to calculate distance measures for the Kernel Den-sity Estimation (KDE) process. At the end there is a completely derived rule-based kde process for the geovisual analysis of massive spatio-tempotal mass data for hotspot geoprofiling.
elib-URL des Eintrags: | https://elib.dlr.de/135987/ | ||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||||||||||||||||||||||||||
Titel: | Geoprofiling in the Context of Civil Security: KDE Process Optimisation for Hotspot Analysis of massive Emergency Location Data | ||||||||||||||||||||||||||||||||||||||||||||||||
Autoren: |
| ||||||||||||||||||||||||||||||||||||||||||||||||
Datum: | 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||
Erschienen in: | 20th International Conference on Computational Science and Its Applications, ICCSA 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||||||||||||||||||||||||||
DOI: | 10.1007/978-3-030-58811-3_42 | ||||||||||||||||||||||||||||||||||||||||||||||||
Herausgeber: |
| ||||||||||||||||||||||||||||||||||||||||||||||||
Verlag: | Springer International Publishing | ||||||||||||||||||||||||||||||||||||||||||||||||
Name der Reihe: | Computational Science and Its Applications – ICCSA 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||
ISSN: | 0302-9743 | ||||||||||||||||||||||||||||||||||||||||||||||||
ISBN: | 978-3-030-58811-3 | ||||||||||||||||||||||||||||||||||||||||||||||||
Status: | im Druck | ||||||||||||||||||||||||||||||||||||||||||||||||
Stichwörter: | Civil Security, KDE, Geoprofiling, Hotspots, Geovisual Analytics | ||||||||||||||||||||||||||||||||||||||||||||||||
Veranstaltungstitel: | The International Conference on Computational Science and its Applications (ICCSA 2020) | ||||||||||||||||||||||||||||||||||||||||||||||||
Veranstaltungsort: | Cagliary, Italien | ||||||||||||||||||||||||||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||||||||||||||||||||||
Veranstaltungsbeginn: | 1 Juli 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||
Veranstaltungsende: | 4 Juli 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||||||||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Optische Fernerkundung für sicherheitsrelevante Anwendungen | ||||||||||||||||||||||||||||||||||||||||||||||||
Standort: | Berlin-Adlershof | ||||||||||||||||||||||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Optische Sensorsysteme > Sicherheitsforschung und Anwendungen | ||||||||||||||||||||||||||||||||||||||||||||||||
Hinterlegt von: | Gonschorek, Dr. Julia | ||||||||||||||||||||||||||||||||||||||||||||||||
Hinterlegt am: | 21 Sep 2020 11:39 | ||||||||||||||||||||||||||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:38 |
Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags