Interpolation of Spatial Data: Some Theory for Kriging
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
1999
|
| Series: | Springer Series in Statistics
|
| Subjects: | |
| Online Access: | Volltext |
| Item Description: | Prediction of a random field based on observations of the random field at some set of locations arises in mining, hydrology, atmospheric sciences, and geography. Kriging, a prediction scheme defined as any prediction scheme that minimizes mean squared prediction error among some class of predictors under a particular model for the field, is commonly used in all these areas of prediction. This book summarizes past work and describes new approaches to thinking about kriging |
| Physical Description: | 1 Online-Ressource (XVII, 249 p) |
| ISBN: | 9781461214946 9781461271666 |
| ISSN: | 0172-7397 |
| DOI: | 10.1007/978-1-4612-1494-6 |
Staff View
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:05Z |
| institution | BVB |
| isbn | 9781461214946 9781461271666 |
| issn | 0172-7397 |
| language | English |
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| spelling | Stein, Michael L. Verfasser aut Interpolation of Spatial Data Some Theory for Kriging by Michael L. Stein New York, NY Springer New York 1999 1 Online-Ressource (XVII, 249 p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 Prediction of a random field based on observations of the random field at some set of locations arises in mining, hydrology, atmospheric sciences, and geography. Kriging, a prediction scheme defined as any prediction scheme that minimizes mean squared prediction error among some class of predictors under a particular model for the field, is commonly used in all these areas of prediction. This book summarizes past work and describes new approaches to thinking about kriging Statistics Geography Geology Mathematical statistics Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Geography (general) Earth Sciences, general Geografie Geologie Statistik Kriging (DE-588)4339232-5 gnd rswk-swf Kriging (DE-588)4339232-5 s 1\p DE-604 https://doi.org/10.1007/978-1-4612-1494-6 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Stein, Michael L. Interpolation of Spatial Data Some Theory for Kriging Statistics Geography Geology Mathematical statistics Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Geography (general) Earth Sciences, general Geografie Geologie Statistik Kriging (DE-588)4339232-5 gnd |
| subject_GND | (DE-588)4339232-5 |
| title | Interpolation of Spatial Data Some Theory for Kriging |
| title_auth | Interpolation of Spatial Data Some Theory for Kriging |
| title_exact_search | Interpolation of Spatial Data Some Theory for Kriging |
| title_full | Interpolation of Spatial Data Some Theory for Kriging by Michael L. Stein |
| title_fullStr | Interpolation of Spatial Data Some Theory for Kriging by Michael L. Stein |
| title_full_unstemmed | Interpolation of Spatial Data Some Theory for Kriging by Michael L. Stein |
| title_short | Interpolation of Spatial Data |
| title_sort | interpolation of spatial data some theory for kriging |
| title_sub | Some Theory for Kriging |
| topic | Statistics Geography Geology Mathematical statistics Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Geography (general) Earth Sciences, general Geografie Geologie Statistik Kriging (DE-588)4339232-5 gnd |
| topic_facet | Statistics Geography Geology Mathematical statistics Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Geography (general) Earth Sciences, general Geografie Geologie Statistik Kriging |
| url | https://doi.org/10.1007/978-1-4612-1494-6 |
| work_keys_str_mv | AT steinmichaell interpolationofspatialdatasometheoryforkriging |