date: 2019-10-18T10:42:39Z pdf:PDFVersion: 1.6 pdf:docinfo:title: Extreme anomaly event detection in biosphere using linear regression and a spatiotemporal MRF model xmp:CreatorTool: Springer access_permission:can_print_degraded: true subject: Natural Hazards, https://doi.org/10.1007/s11069-018-3415-8 pdfa:PDFVersion: A-2b xmpMM:History:Action: converted language: EN dc:format: application/pdf; version=1.6 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Springer access_permission:fill_in_form: true xmpMM:History:When: 2019-09-20T19:57:50Z pdf:encrypted: false dc:title: Extreme anomaly event detection in biosphere using linear regression and a spatiotemporal MRF model modified: 2019-10-18T10:42:39Z cp:subject: Natural Hazards, https://doi.org/10.1007/s11069-018-3415-8 xmpMM:History:SoftwareAgent: pdfToolbox pdf:docinfo:custom:CrossMarkDomains[1]: springer.com robots: noindex pdf:docinfo:subject: Natural Hazards, https://doi.org/10.1007/s11069-018-3415-8 xmpMM:History:InstanceID: uuid:5bb1666c-2a06-4a35-85e7-6082e4fa58cb pdf:docinfo:creator: Yanira Guanche García meta:author: Maha Shadaydeh meta:creation-date: 2018-07-26T00:59:31Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: 2018-07-26T00:59:31Z access_permission:extract_for_accessibility: true Creation-Date: 2018-07-26T00:59:31Z pdfaid:part: 2 pdf:docinfo:custom:CrossMarkDomains[2]: springerlink.com pdf:docinfo:custom:doi: 10.1007/s11069-018-3415-8 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Maha Shadaydeh producer: Acrobat Distiller 10.1.8 (Windows) CrossmarkDomainExclusive: true pdf:docinfo:producer: Acrobat Distiller 10.1.8 (Windows) doi: 10.1007/s11069-018-3415-8 pdf:unmappedUnicodeCharsPerPage: 5 dc:description: Natural Hazards, https://doi.org/10.1007/s11069-018-3415-8 Keywords: Autoregressive models,Mahalanobis distance,Markov random field model,Spatiotemporal event detection access_permission:modify_annotations: true dc:creator: Maha Shadaydeh description: Natural Hazards, https://doi.org/10.1007/s11069-018-3415-8 dcterms:created: 2018-07-26T00:59:31Z Last-Modified: 2019-10-18T10:42:39Z dcterms:modified: 2019-10-18T10:42:39Z title: Extreme anomaly event detection in biosphere using linear regression and a spatiotemporal MRF model xmpMM:DocumentID: uuid:6b4b6db0-d903-43eb-ae0b-39cc49b27aa0 Last-Save-Date: 2019-10-18T10:42:39Z CrossMarkDomains[1]: springer.com pdf:docinfo:keywords: Autoregressive models,Mahalanobis distance,Markov random field model,Spatiotemporal event detection pdf:docinfo:modified: 2019-10-18T10:42:39Z meta:save-date: 2019-10-18T10:42:39Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Maha Shadaydeh pdfaid:conformance: B dc:language: EN dc:subject: Autoregressive models,Mahalanobis distance,Markov random field model,Spatiotemporal event detection access_permission:assemble_document: true xmpTPg:NPages: 19 pdf:charsPerPage: 2289 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: springerlink.com meta:keyword: Autoregressive models,Mahalanobis distance,Markov random field model,Spatiotemporal event detection access_permission:can_modify: true pdf:docinfo:created: 2018-07-26T00:59:31Z CrossmarkMajorVersionDate: 2010-04-23