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    Spatiotemporal Analytics

    Spatiotemporal Analytics by Lee, Jay;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 89.99
      • 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.

        45 543 Ft (43 375 Ft + 5% VAT)
      • Discount 20% (cc. 9 109 Ft off)
      • Discounted price 36 435 Ft (34 700 Ft + 5% VAT)

    45 543 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 explains in very simple terms the concepts of spatiotemporal analytics and statistics, theories, and methods used. Each chapter introduces a case study as an example application for an in-depth learning process. The software used and the codes provided enable readers to learn statistics and use them effectively in their projects.

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    Long description:

    This book introduces readers to spatiotemporal analytics that are extended from spatial statistics. Spatiotemporal analytics help analysts to quantitatively recognize and evaluate the spatial patterns and their temporal trends of a set of geographic events or objects. Spatiotemporal analyses are very important in geography, environmental sciences, economy, and many other domains. Spatiotemporal Analytics explains in very simple terms the concepts of spatiotemporal data and statistics, theories, and methods used. Each chapter introduces a case study as an example application for an in-depth learning process. The software used and the codes provided enable readers not only to learn statistics but also to use them effectively in their projects.



    ? Provides a comprehensive understanding of spatiotemporal analytics to readers with minimum knowledge in statistics.


    ? Written in simple, understandable language with step-by-step instructions.


    ? Includes numerous examples for all theories and methods explained in the book covering a wide range of applications from different disciplines.


    ? Each application includes a software code needed to follow the instructions.


    ? Each chapter also has a set of prepared PowerPoint slides to help spatiotemporal analytics instructors explain the content.


    Undergraduate and graduate students who use Geographic Information Systems or study Geographical Information Science will find this book useful. The subject matter is also pertinent to an array of disciplines such as agriculture, anthropology, archaeology, architecture, biology, business administration and management, civic engineering, criminal justice, epidemiology, geography, geology, marketing, political science, and public health.

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    Table of Contents:

    1. Introduction to Spatiotemporal Analytics.  2. Spatiotemporal Centrography and Dispersion.  3. Spatiotemporal Quadrat Analytics.  4. Spatiotemporal Nearest Neighbor Analytics.  5. Spatiotemporal Ripley?s K and L Functions.  6. Spatiotemporal Autocorrelation Analytics.  7. Spatiotemporal G Statistical Analytics.  8. Spatiotemporal Kernel Density Estimation.  9. Spatiotemporally Weighted Regression.  10. Spatiotemporal Bayesian Regression.  11. Spatiotemporal Process Analytics and Simulations.  12. Spatiotemporal Analytical Unit Problems.     
       

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    Spatiotemporal Analytics

    Spatiotemporal Analytics

    Lee, Jay;

    45 543 HUF

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