Statistics of Earth Science Data: Their Distribution in Time, Space, and Orientation
The Goals of Data Collection and Its Statistical Treatment in the Earth Sciences The earth sciences are characterised by loose and complex relationships between variables, and the necessity to understand the geographical dis tribution of observations as well as their frequency distribution. Our fre...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2003
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| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext Inhaltsverzeichnis |
| Zusammenfassung: | The Goals of Data Collection and Its Statistical Treatment in the Earth Sciences The earth sciences are characterised by loose and complex relationships between variables, and the necessity to understand the geographical dis tribution of observations as well as their frequency distribution. Our fre quency distributions and the looseness of relationships reflect the com plexity and intrinsic natural variation in nature, more than measurement error. Furthermore, earth scientists cannot design experiments according to statistical recommendation because the availability and complexity of data are beyond our control. Usually, the system we are studying cannot be isolated into discrete independent variables. These factors influence the first steps of research, how and where to collect specimens or observations. Some issues are particularly troublesome and common in earth science, but are rarely handled in an undergraduate statistics course. These include spatial-sampling methods, orientation data, regionalised variables, time se ries, identification of cyclicity and pattern, discrimination, multivariate systems, lurking variables and constant-sum data. It is remarkable that most earth-science students confront these issues without formal training or focused consideration |
| Beschreibung: | 1 Online-Ressource (XXVII, 351 p) |
| ISBN: | 9783662052235 |
| DOI: | 10.1007/978-3-662-05223-5 |
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| spelling | Borradaile, Graham Verfasser aut Statistics of Earth Science Data Their Distribution in Time, Space, and Orientation by Graham Borradaile Berlin, Heidelberg Springer Berlin Heidelberg 2003 1 Online-Ressource (XXVII, 351 p) txt rdacontent c rdamedia cr rdacarrier The Goals of Data Collection and Its Statistical Treatment in the Earth Sciences The earth sciences are characterised by loose and complex relationships between variables, and the necessity to understand the geographical dis tribution of observations as well as their frequency distribution. Our fre quency distributions and the looseness of relationships reflect the com plexity and intrinsic natural variation in nature, more than measurement error. Furthermore, earth scientists cannot design experiments according to statistical recommendation because the availability and complexity of data are beyond our control. Usually, the system we are studying cannot be isolated into discrete independent variables. These factors influence the first steps of research, how and where to collect specimens or observations. Some issues are particularly troublesome and common in earth science, but are rarely handled in an undergraduate statistics course. These include spatial-sampling methods, orientation data, regionalised variables, time se ries, identification of cyclicity and pattern, discrimination, multivariate systems, lurking variables and constant-sum data. It is remarkable that most earth-science students confront these issues without formal training or focused consideration Engineering Appl.Mathematics/Computational Methods of Engineering Applications of Mathematics Geology Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Sedimentology Mineralogy Applied mathematics Engineering mathematics Statistics Geostatistik (DE-588)4020279-3 gnd rswk-swf Geostatistik (DE-588)4020279-3 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9783642078156 https://doi.org/10.1007/978-3-662-05223-5 Verlag URL des Erstveröffentlichers Volltext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030539108&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Borradaile, Graham Statistics of Earth Science Data Their Distribution in Time, Space, and Orientation Engineering Appl.Mathematics/Computational Methods of Engineering Applications of Mathematics Geology Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Sedimentology Mineralogy Applied mathematics Engineering mathematics Statistics Geostatistik (DE-588)4020279-3 gnd |
| subject_GND | (DE-588)4020279-3 |
| title | Statistics of Earth Science Data Their Distribution in Time, Space, and Orientation |
| title_auth | Statistics of Earth Science Data Their Distribution in Time, Space, and Orientation |
| title_exact_search | Statistics of Earth Science Data Their Distribution in Time, Space, and Orientation |
| title_full | Statistics of Earth Science Data Their Distribution in Time, Space, and Orientation by Graham Borradaile |
| title_fullStr | Statistics of Earth Science Data Their Distribution in Time, Space, and Orientation by Graham Borradaile |
| title_full_unstemmed | Statistics of Earth Science Data Their Distribution in Time, Space, and Orientation by Graham Borradaile |
| title_short | Statistics of Earth Science Data |
| title_sort | statistics of earth science data their distribution in time space and orientation |
| title_sub | Their Distribution in Time, Space, and Orientation |
| topic | Engineering Appl.Mathematics/Computational Methods of Engineering Applications of Mathematics Geology Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Sedimentology Mineralogy Applied mathematics Engineering mathematics Statistics Geostatistik (DE-588)4020279-3 gnd |
| topic_facet | Engineering Appl.Mathematics/Computational Methods of Engineering Applications of Mathematics Geology Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Sedimentology Mineralogy Applied mathematics Engineering mathematics Statistics Geostatistik |
| url | https://doi.org/10.1007/978-3-662-05223-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030539108&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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