Yarus jeffrey (18 risultati)

Hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

hardcover. Condizione: Very Good. Stochastic Modeling and Geostatistics: Principles, Methods and Case Studies: No. 3 (Computer Applications in Geology) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .…

hardcover. Condizione: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Condizione: as new. Appears unread. May have a retail sticker on back cover or remainder mark on the text block.

Condizione: Good. Volume 4. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. Dust jacket in good condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1500grams, ISBN:9780891817031.…

Hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condizione: New. Satisfaction Guaranteed or your money back.

hardcover. Condizione: Fine. Hardback with dust jacket. Dust jacket is in good condition. Cover edges and corners in good shape. Spine is tight. Pages are clean, no markings, notes or stains. Ships from Friends bookstore to benefit Beaverton (Oregon) library.

hardcover. Condizione: Gut. 315 Seiten; 9780891817031.3 Gewicht in Gramm: 3.

Condizione: New.

Audio Book (CD). Condizione: New. CD reprint of AAPG Computer Applications in Geology No. 4. This publication takes an informative look at the use of computer-based Geographic Information Systems (GIS) in the energy industry. This excellent volume is particularly timely in light of the rapidly growing numbers and types of applications of GIS technology. The book's thoroughly illustrated chapters address the full range of GIS topics, approaches, and philosophies, with special emphasis on the petroleum industry; there is a good mix of theory, applications, resources, and practical advice. Case studies include a regional study, conceptual geological modeling, a field study, reservoir characterization, and more. A general historical overview of GIS technology, trends, and predictions is included. This book will be an invaluable guide to GIS resources and applications for individuals and companies, beginners and specialists. Properly used and integrated, Geographic Information Systems technology can help geoscientists achieve greater success in all aspects of petroleum exploration and development.…

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 504 pp. Englisch.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is an edited volume presenting current principles, methods, and case studies in spatiotemporal data analytics for beginning to intermediate practitioners. It emphasizes practical workflows drawn from multiple disciplines and is intended as a guide for readers seeking to better understand the tools, technologies, and decision-making processes involved in building spatial and spatiotemporal models that incorporate both statistical and machine-learning approaches.The volume is not a textbook on the mathematical foundations of spatial or temporal modeling, nor does it attempt a comprehensive review of theoretical development. Instead, it focuses on practical insight-explaining and demonstrating why particular approaches are used, how they are implemented, and where their limitations lie. Contributions span petroleum and mining, environmental geoscience, tectonics, geothermal systems, forestry, and power-grid analysis, reflecting the broad applicability of spatiotemporal analytics across scientific and engineering domains.A dedicated section of the book addresses geoinformatics and the integrated use of widely adopted scripting languages, such as Python and R, in modern spatiotemporal and geostatistical workflows. System configurations and code examples illustrate data aggregation, analysis, simulation, and management in reproducible, transparent environments. Most chapters intentionally rely on open-source tools, with workflows shown in full to encourage accessibility and to promote a 'check-the-code' approach to skill development.Readers should be able to follow the examples and adapt the demonstrated workflows to their own projects. The aim of the book is not to produce experts, but to provide an introduction-or a practical boost-to the concepts, language, and coding practices that support effective collaboration with computer scientists, data scientists, and fellow modelers. While additional material could have been included, the chapters are deliberately concise, encouraging readers to engage more deeply with the extensive literature cited throughout the volume.…

Hardcover. Condizione: new. Hardcover. This book is an edited volume presenting current principles, methods, and case studies in spatiotemporal data analytics for beginning to intermediate practitioners. It emphasizes practical workflows drawn from multiple disciplines and is intended as a guide for readers seeking to better understand the tools, technologies, and decision-making processes involved in building spatial and spatiotemporal models that incorporate both statistical and machine-learning approaches.The volume is not a textbook on the mathematical foundations of spatial or temporal modeling, nor does it attempt a comprehensive review of theoretical development. Instead, it focuses on practical insightexplaining and demonstrating why particular approaches are used, how they are implemented, and where their limitations lie. Contributions span petroleum and mining, environmental geoscience, tectonics, geothermal systems, forestry, and power-grid analysis, reflecting the broad applicability of spatiotemporal analytics across scientific and engineering domains.A dedicated section of the book addresses geoinformatics and the integrated use of widely adopted scripting languages, such as Python and R, in modern spatiotemporal and geostatistical workflows. System configurations and code examples illustrate data aggregation, analysis, simulation, and management in reproducible, transparent environments. Most chapters intentionally rely on open-source tools, with workflows shown in full to encourage accessibility and to promote a 'check-the-code approach to skill development.Readers should be able to follow the examples and adapt the demonstrated workflows to their own projects. The aim of the book is not to produce experts, but to provide an introductionor a practical boostto the concepts, language, and coding practices that support effective collaboration with computer scientists, data scientists, and fellow modelers. While additional material could have been included, the chapters are deliberately concise, encouraging readers to engage more deeply with the extensive literature cited throughout the volume. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware Books on Demand GmbH, Überseering 33, 22297 Hamburg 504 pp. Englisch.

Buch. Condizione: Neu. Applied Spatiotemporal Data Analytics and Machine Learning | Marko Maucec (u. a.) | Buch | Englisch | 2026 | IntechOpen | EAN 9781839685019 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …