Wimberly michael (30 Ergebnisse)

Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

paperback. Zustand: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Pamphlet. Zustand: Very Good. Vol 14, No 1, pp. 167-180, Illus, 4to, Extracted from orig vol, begins with title page, trimmed & stapled, thus is like a pamphlet else VG.

paperback. Zustand: Fair. Ships Out Tomorrow.

Zustand: New. Brand New, This is an audio book.

Paperback. Zustand: Brand New. paperback/dvd edition. 32 pages. 11.50x3.54x0.47 inches. In Stock.

Hardcover. Zustand: Excellent condition. 199 pp. Volume Two: Exodus - Joshua. LCC: 9026289.

Paperback. Zustand: Brand New. paperback/dvd edition. 32 pages. 11.60x9.00x0.50 inches. In Stock.

Softcover. Zustand: Very Good. Clean pages except for an ink stamp on the first (blank) page and some dust staining along top edges; glued binding is secure, soft cover showing short surface ripples at spine ends as well as mild toning and light surface wear along spine and edges, otherwise well-kept. xii, [264]pp. Errata sheets, folded and laid in, show tiny tears and age-toning along edges.…

Soft cover. Zustand: Good. 1st Edition. Stiff tan wraps, lettered/illus. in brown. Only minor handling wear, but moisture contact has resulted in dampstaining to text block fore-edge, wrinkling and scattered dampstaining through latter half of contents. Useful reference copy. Former owner's signature inked along top edge of front cover. xii,255 pp., illus., maps, folding plot plan at rear. Size: 4to - over 9" - 12" tall. Book.…

Paperback. Zustand: New. In shrink wrap. Looks like an interesting title.

Taschenbuch. Zustand: Neu. Getting Started on Cajon | Michael Wimberly | Taschenbuch | Buch + Medien Online | Englisch | 2012 | Hudson Music | EAN 9781476812144 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Hardcover. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New.

Hardback. Zustand: New. New copy - Usually dispatched within 4 working days.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Hardback. Zustand: New. The burgeoning field of data science has provided a wealth of techniques for analysing large and complex geospatial datasets, including descriptive, explanatory, and predictive analytics. However, applying these methods is just one part of the overall process of geographic data science. Other critical steps include screening for suspect data values, handling missing data, harmonizing data from multiple sources, summarizing the data, and visualizing data and analysis results. Although there are many books available on statistical and machine learning methods, few encompass the broader topic of scientific workflows for geospatial data processing and analysis. The purpose of Geographic Data Science with R is to fill this gap by providing a series of tutorials aimed at teaching good practices for using geospatial data to address problems in environmental geography. It is based on the R language and environment, which currently provides the best option for working with diverse spatial and non-spatial data in a single platform. Fundamental techniques for processing and visualizing tabular, vector, and raster data are introduced through a series of practical examples followed by case studies that combine multiple types of data to address more complex problems. The book will have a broad audience. Both students and professionals can use it as a workbook to learn high-level techniques for geospatial data processing and analysis with R. It is also suitable as a textbook. Although not intended to provide a comprehensive introduction to R, it is designed to be accessible to readers who have at least some knowledge of coding but little to no experience with R. Key Features: Focus on developing practical workflows for processing and integrating multiple sources of geospatial data in R Example-based approach that teaches R programming and data science concepts through real-world applications related to climate, land cover and land use, and natural hazards. Consistent use of tidyverse packages for tabular data manipulation and visualization. Strong focus on analysing continuous and categorical raster datasets using the new terra package Organized so that each chapter builds on the topics and techniques covered in the preceding chapters Can be used for self-study or as the textbook for a geospatial science course.…

Hardcover. Zustand: Brand New. 336 pages. 9.19x6.13x0.79 inches. In Stock.

Hardback. Zustand: New. The burgeoning field of data science has provided a wealth of techniques for analysing large and complex geospatial datasets, including descriptive, explanatory, and predictive analytics. However, applying these methods is just one part of the overall process of geographic data science. Other critical steps include screening for suspect data values, handling missing data, harmonizing data from multiple sources, summarizing the data, and visualizing data and analysis results. Although there are many books available on statistical and machine learning methods, few encompass the broader topic of scientific workflows for geospatial data processing and analysis. The purpose of Geographic Data Science with R is to fill this gap by providing a series of tutorials aimed at teaching good practices for using geospatial data to address problems in environmental geography. It is based on the R language and environment, which currently provides the best option for working with diverse spatial and non-spatial data in a single platform. Fundamental techniques for processing and visualizing tabular, vector, and raster data are introduced through a series of practical examples followed by case studies that combine multiple types of data to address more complex problems. The book will have a broad audience. Both students and professionals can use it as a workbook to learn high-level techniques for geospatial data processing and analysis with R. It is also suitable as a textbook. Although not intended to provide a comprehensive introduction to R, it is designed to be accessible to readers who have at least some knowledge of coding but little to no experience with R. Key Features: Focus on developing practical workflows for processing and integrating multiple sources of geospatial data in R Example-based approach that teaches R programming and data science concepts through real-world applications related to climate, land cover and land use, and natural hazards. Consistent use of tidyverse packages for tabular data manipulation and visualization. Strong focus on analysing continuous and categorical raster datasets using the new terra package Organized so that each chapter builds on the topics and techniques covered in the preceding chapters Can be used for self-study or as the textbook for a geospatial science course.…

Zustand: New. . .

Hardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

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

Zustand: New. PRINT ON DEMAND.

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - There is a lack of books on the broader topic of scientific workflows for geospatial data processing and analysis. This book aims to fill this gap by providing a series of tutorials aimed at teaching good practices for using geospatial data to address problems in environmental geography.…