Spatiotemporal data analysis:
"A severe thunderstorm morphs into a tornado that cuts a swath of destruction through Oklahoma. How do we study the storm's mutation into a deadly twister? Avian flu cases are reported in China. How do we characterize the spread of the flu, potentially preventing an epidemic? The way to an...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Princeton
Princeton University Press
[2012]
|
| Schlagworte: | |
| Zusammenfassung: | "A severe thunderstorm morphs into a tornado that cuts a swath of destruction through Oklahoma. How do we study the storm's mutation into a deadly twister? Avian flu cases are reported in China. How do we characterize the spread of the flu, potentially preventing an epidemic? The way to answer important questions like these is to analyze the spatial and temporal characteristics--origin, rates, and frequencies--of these phenomena. This comprehensive text introduces advanced undergraduate students, graduate students, and researchers to the statistical and algebraic methods used to analyze spatiotemporal data in a range of fields, including climate science, geophysics, ecology, astrophysics, and medicine. Gidon Eshel begins with a concise yet detailed primer on linear algebra, providing readers with the mathematical foundations needed for data analysis. He then fully explains the theory and methods for analyzing spatiotemporal data, guiding readers from the basics to the most advanced applications. This self-contained, practical guide to the analysis of multidimensional data sets features a wealth of real-world examples as well as sample homework exercises and suggested exams"-- |
| Beschreibung: | Description based on print version record |
| Beschreibung: | 1 online resource (336 pages) illustrations |
| ISBN: | 9780691128917 9781400840632 |
Internformat
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| 520 | |a "A severe thunderstorm morphs into a tornado that cuts a swath of destruction through Oklahoma. How do we study the storm's mutation into a deadly twister? Avian flu cases are reported in China. How do we characterize the spread of the flu, potentially preventing an epidemic? The way to answer important questions like these is to analyze the spatial and temporal characteristics--origin, rates, and frequencies--of these phenomena. This comprehensive text introduces advanced undergraduate students, graduate students, and researchers to the statistical and algebraic methods used to analyze spatiotemporal data in a range of fields, including climate science, geophysics, ecology, astrophysics, and medicine. Gidon Eshel begins with a concise yet detailed primer on linear algebra, providing readers with the mathematical foundations needed for data analysis. He then fully explains the theory and methods for analyzing spatiotemporal data, guiding readers from the basics to the most advanced applications. This self-contained, practical guide to the analysis of multidimensional data sets features a wealth of real-world examples as well as sample homework exercises and suggested exams"-- | ||
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Datensatz im Suchindex
| _version_ | 1804177089134329856 |
|---|---|
| any_adam_object | |
| author | Eshel, Gidon 1958- |
| author_facet | Eshel, Gidon 1958- |
| author_role | aut |
| author_sort | Eshel, Gidon 1958- |
| author_variant | g e ge |
| building | Verbundindex |
| bvnumber | BV044062149 |
| collection | ZDB-30-PAD ZDB-38-ESG |
| ctrlnum | (ZDB-30-PAD)EBC832068 (ZDB-89-EBL)EBL832068 (ZDB-38-EBR)ebr10862955 (OCoLC)909829310 (DE-599)BVBBV044062149 |
| dewey-full | 519.5/36 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5/36 |
| dewey-search | 519.5/36 |
| dewey-sort | 3519.5 236 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | DE-604.BV044062149 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:42:32Z |
| institution | BVB |
| isbn | 9780691128917 9781400840632 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029468994 |
| oclc_num | 909829310 |
| open_access_boolean | |
| physical | 1 online resource (336 pages) illustrations |
| psigel | ZDB-30-PAD ZDB-38-ESG |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Princeton University Press |
| record_format | marc |
| spelling | Eshel, Gidon 1958- aut Spatiotemporal data analysis Gidon Eshel Princeton Princeton University Press [2012] © 2012 1 online resource (336 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Description based on print version record "A severe thunderstorm morphs into a tornado that cuts a swath of destruction through Oklahoma. How do we study the storm's mutation into a deadly twister? Avian flu cases are reported in China. How do we characterize the spread of the flu, potentially preventing an epidemic? The way to answer important questions like these is to analyze the spatial and temporal characteristics--origin, rates, and frequencies--of these phenomena. This comprehensive text introduces advanced undergraduate students, graduate students, and researchers to the statistical and algebraic methods used to analyze spatiotemporal data in a range of fields, including climate science, geophysics, ecology, astrophysics, and medicine. Gidon Eshel begins with a concise yet detailed primer on linear algebra, providing readers with the mathematical foundations needed for data analysis. He then fully explains the theory and methods for analyzing spatiotemporal data, guiding readers from the basics to the most advanced applications. This self-contained, practical guide to the analysis of multidimensional data sets features a wealth of real-world examples as well as sample homework exercises and suggested exams"-- Spatial analysis (Statistics) Dimension 4 (DE-588)4338676-3 gnd rswk-swf Zeitliches Datenbanksystem (DE-588)4407818-3 gnd rswk-swf Raum-Zeit-System (DE-588)4127858-6 gnd rswk-swf Datenintegration (DE-588)4197730-0 gnd rswk-swf Raumdaten (DE-588)4206012-6 gnd rswk-swf Geoinformationssystem (DE-588)4261642-6 gnd rswk-swf Raum-Zeit-System (DE-588)4127858-6 s Raumdaten (DE-588)4206012-6 s Zeitliches Datenbanksystem (DE-588)4407818-3 s Dimension 4 (DE-588)4338676-3 s Datenintegration (DE-588)4197730-0 s 1\p DE-604 Geoinformationssystem (DE-588)4261642-6 s 2\p DE-604 Erscheint auch als Druck-Ausgabe Eshel, Gidon Spatiotemporal data analysis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Eshel, Gidon 1958- Spatiotemporal data analysis Spatial analysis (Statistics) Dimension 4 (DE-588)4338676-3 gnd Zeitliches Datenbanksystem (DE-588)4407818-3 gnd Raum-Zeit-System (DE-588)4127858-6 gnd Datenintegration (DE-588)4197730-0 gnd Raumdaten (DE-588)4206012-6 gnd Geoinformationssystem (DE-588)4261642-6 gnd |
| subject_GND | (DE-588)4338676-3 (DE-588)4407818-3 (DE-588)4127858-6 (DE-588)4197730-0 (DE-588)4206012-6 (DE-588)4261642-6 |
| title | Spatiotemporal data analysis |
| title_auth | Spatiotemporal data analysis |
| title_exact_search | Spatiotemporal data analysis |
| title_full | Spatiotemporal data analysis Gidon Eshel |
| title_fullStr | Spatiotemporal data analysis Gidon Eshel |
| title_full_unstemmed | Spatiotemporal data analysis Gidon Eshel |
| title_short | Spatiotemporal data analysis |
| title_sort | spatiotemporal data analysis |
| topic | Spatial analysis (Statistics) Dimension 4 (DE-588)4338676-3 gnd Zeitliches Datenbanksystem (DE-588)4407818-3 gnd Raum-Zeit-System (DE-588)4127858-6 gnd Datenintegration (DE-588)4197730-0 gnd Raumdaten (DE-588)4206012-6 gnd Geoinformationssystem (DE-588)4261642-6 gnd |
| topic_facet | Spatial analysis (Statistics) Dimension 4 Zeitliches Datenbanksystem Raum-Zeit-System Datenintegration Raumdaten Geoinformationssystem |
| work_keys_str_mv | AT eshelgidon spatiotemporaldataanalysis |