Quantifying Spatial Uncertainty in Natural Resources: Theory and Applications for GIS and Remote Sensing,New

Quantifying Spatial Uncertainty in Natural Resources: Theory and Applications for GIS and Remote Sensing,New

Out of Stock
SKU: DADAX1575041316
Brand: CRC Press
Condition: New
Regular price$329.03
Sold out
Quantity
Add to wishlist
Add to compare

Sold by Ergodebooks, an authorized reseller.

Returns accepted within 30 days | support@ergodebooks.com

Verified
Shipping Information
  • Free Standard Shipping — United States only
  • Processing Time: 1–3 business days
  • Estimated Delivery: 3–5 business days after dispatch
  • Double-boxed, fully insured & discreetly packaged
  • Tracking number sent via email once dispatched
  • Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund

Returns accepted within 30 days of delivery.

Damaged or Defective Item

Free return shipping + replacement or full refund

Wrong Item Received

Free return shipping + replacement or full refund

Change of Mind

Return shipping at customer's expense · 25% restocking fee applies

All returns require a Return Authorization (RA) number before sending.

To initiate a return, contact us:

support@ergodebooks.com +1 (281) 738-1050
View Full Return & Refund Policy
Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

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.

For more information, please visit www.P65Warnings.ca.gov.

  • 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.

Recently Viewed