Sprache: Englisch
Verlag: Dover Publications (edition Illustrated), 2012
ISBN 10: 0486488187 ISBN 13: 9780486488189
Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: Very Good. Illustrated. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Sprache: Englisch
Verlag: Dover Publications, Incorporated, 2012
ISBN 10: 0486488187 ISBN 13: 9780486488189
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
EUR 27,04
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. InhaltsverzeichnisrnrnPrefacen 1. Spatiotemporal Mapping in Natural Sciencesn 2. Spatiotemporal Geometryn 3. Physical knowledgrn 4. The Epistemic Paradigmn 5. Mathematical Formulation of the BME Methodn 6. Analytical Expressions of the Pos.
Sprache: Englisch
Verlag: Dover Publications Jul 2012, 2012
ISBN 10: 0486488187 ISBN 13: 9780486488189
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Scholarly introductory treatment explores the role of modern geostatistics in improved mathematical models of scientific mapping, focusing on the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables. 2000 edition.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | Scholarly introductory treatment explores the role of modern geostatistics in improved mathematical models of scientific mapping, focusing on the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables. 2000 edition.
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | Scholarly introductory treatment explores the role of modern geostatistics in improved mathematical models of scientific mapping, focusing on the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables. 2000 edition.