umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The second-order statistical analysis of marked inhomogeneous spatio-temporal point processes
University of Valencia, Spain. (Department of Statistics and Operations Research)ORCID iD: 0000-0001-8117-3461
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.ORCID iD: 0000-0002-6721-8608
University of Valencia, Spain. (Department of Statistics and Operations Research)
2016 (English)In: METMA VIII: Proceedings of the 8th International Workshop on Spatio-Temporal Modelling / [ed] A. Iftimi, J. Mateu, F. Montes, 2016, p. 89-93Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

An earthquake is characterised by the shaking of the surface of the Earth, and can range from being imperceptible to causing huge damage and killing thousands of people. Magnitude is a measure of the size of an earthquake source, and does not depend on the spatio-temporal location of the event. The data in this study includes all earthquakes with magnitude larger than or equal to 5, with a total of 1248 earthquakes registered from 2004 to 2008, in the area of Sumatra (Indonesia). We analyse the interaction between different types of earthquakes, classified according to their magnitude, at different space-time scales. We want to identify spatio-temporal interaction between high magnitude earthquakes (magnitude larger than 5:5) and smaller magnitude earthquakes ( 5:5). The analysis shows a strong relation between big earthquakes and aftershocks. We observe that aftershocks could span their power as far as 3,000 km and 400 days. Random labelling testing shows, as expected, that we do not have random labelling.

Place, publisher, year, edition, pages
2016. p. 89-93
Keywords [en]
Second-order analysis, Marked inhomogeneous point pattern, Earthquake data, Marked inhomogeneous spatio-temporal K-function
National Category
Probability Theory and Statistics
Research subject
Mathematical Statistics; Statistics
Identifiers
URN: urn:nbn:se:umu:diva-145041ISBN: 978-84-608-8468-2 (print)OAI: oai:DiVA.org:umu-145041DiVA, id: diva2:1183608
Conference
8th International Workshop on Spatio-Temporal Modelling (METMA VIII), Valencia (Spain), 1–3 June 2016
Available from: 2018-02-18 Created: 2018-02-18 Last updated: 2018-06-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

URL

Authority records BETA

Iftimi, AdinaCronie, Ottmar

Search in DiVA

By author/editor
Iftimi, AdinaCronie, Ottmar
By organisation
Department of Mathematics and Mathematical Statistics
Probability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 33 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf