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

    Quantifying Spatial Uncertainty in Natural Resources by Mowrer, H. Todd; Congalton, Russell G.;

    Theory and Applications for GIS and Remote Sensing

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 175.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        88 567 Ft (84 350 Ft + 5% VAT)
      • Discount 20% (cc. 17 713 Ft off)
      • Discounted price 70 854 Ft (67 480 Ft + 5% VAT)

    88 567 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Short description:

    This book will be useful both to those new to spatial uncertainty assessment and to experienced practitioners.

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    Long description:

    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 state-of-the-art of uncertainty assessment, providing theoretical chapters based in classical and spatial statistics.

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    Table of Contents:

    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 state-of-the-art of uncertainty assessment, providing theoretical chapters based in classical and spatial statistics.

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