• Contact

  • Newsletter

  • About us

  • Delivery options

  • Prospero Book Market Podcast

  • Spatial Analysis Using Big Data: Methods and Urban Applications

    Spatial Analysis Using Big Data by Yamagata, Yoshiki; Seya, Hajime;

    Methods and Urban Applications

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 132.00
      • 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.

        54 747 Ft (52 140 Ft + 5% VAT)
      • Discount 20% (cc. 10 949 Ft off)
      • Discounted price 43 798 Ft (41 712 Ft + 5% VAT)
      • Discount is valid until: 31 December 2025

    54 747 Ft

    db

    Availability

    printed on demand

    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.

    Product details:

    • Publisher Elsevier Science
    • Date of Publication 2 November 2019

    • ISBN 9780128131275
    • Binding Paperback
    • No. of pages302 pages
    • Size 228x152 mm
    • Weight 520 g
    • Language English
    • 8

    Categories

    Long description:

    Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools that allow researchers to capture real-time and high-resolution information to potentially reveal new socioeconomic dynamics within urban populations. Each method, written by leading exponents of the discipline, uses real-time urban big data to solve research problems in spatial science. Urban applications of these methods are provided in unsurpassed depth, with chapters on surface temperature mapping, view value analysis, community clustering and spatial-social networks, among many others.

    More

    Table of Contents:

    Part 1. Introduction

    Part 2. Methods for big spatial data analysis
    1. Spatial statistics and data assimilation
    2. Spatial and temporal statistical models
    3. Spatial econometrics and social interaction models
    4. Spatial clustering models
    5. Complex network models
    6. Spatial mobility data models
    7. Land use and transport models
    8. Land use scenario visualization tools

    Part 3. Urban applications of big spatial data analysis
    9. Surface temperature mapping for heat wave risk management
    10. Spatial heat-wave assessments using Geo-tagged Twitter data
    11. Assimilation of cell phone mobility data for agent based simulation
    12. Spatial-social network analysis of the patent data
    13. CO2 emission mapping using human sensor data
    14. Optimal community clustering for sharing economy
    15. View value analysis using 3D urban structure data
    16. Big Spatial Data Analysis: case studies in New York
    17. Big Spatial Data Analysis: case studies in London

    More
    0