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Spatial uncertainty analysis has become a recognized discipline that integrates expertise from geographic information science, remote sensing, spatial and classical statistics and many others. This book will be useful to those new to spatial uncertainty assessment and to experienced practitioners. Those interested in the application of appropriate uncertainty assessment techniques are provided with examples of many applications based in remote sensing and geographic information systems (GIS). For researchers, this book presents a snapshot of the stateoftheart of uncertainty assessment, providing theoretical chapters based in classical and spatial statistics.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
Q: What is the main topic of the book 'Quantifying Spatial Uncertainty in Natural Resources'?A: The book focuses on spatial uncertainty analysis, integrating geographic information science, remote sensing, and statistics to assess and apply uncertainty in natural resource management.
Q: Who is the author of this book?A: The author of 'Quantifying Spatial Uncertainty in Natural Resources' is Russell Congalton.
Q: How many pages does the book contain?A: The book contains 350 pages.
Q: What type of binding does this book have?A: This book is available in hardcover binding.
Q: When was the book published?A: The book was published on March 1, 2000.
Q: Is this book suitable for beginners in spatial uncertainty assessment?A: Yes, the book is designed to be useful for both newcomers and experienced practitioners in spatial uncertainty assessment.
Q: What kind of applications does the book provide examples for?A: The book provides examples of uncertainty assessment techniques in remote sensing and geographic information systems (GIS).
Q: What edition is this book?A: This is the first edition of the book.
Q: Can this book help researchers in the field?A: Yes, the book presents a snapshot of the state-of-the-art in uncertainty assessment, which can be beneficial for researchers.
Q: What category does this book fall under?A: The book is categorized under Environmental.
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