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Spatial Analysis Using Big Data

Methods and Urban Applications

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Paperback, blz. | Engels
Elsevier Science | e druk, 2019
ISBN13: 9780128131275
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Elsevier Science e druk, 2019 9780128131275
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Samenvatting

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.

Specificaties

ISBN13:9780128131275
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

<p>Part 1. Introduction</p> <p>Part 2. Methods for big spatial data analysis<br>1. Spatial statistics and data assimilation<br>2. Spatial and temporal statistical models<br>3. Spatial econometrics and social interaction models<br>4. Spatial clustering models<br>5. Complex network models<br>6. Spatial mobility data models<br>7. Land use and transport models<br>8. Land use scenario visualization tools</p> <p>Part 3. Urban applications of big spatial data analysis<br>9. Surface temperature mapping for heat wave risk management<br>10. Spatial heat-wave assessments using Geo-tagged Twitter data<br>11. Assimilation of cell phone mobility data for agent based simulation<br>12. Spatial-social network analysis of the patent data<br>13. CO2 emission mapping using human sensor data<br>14. Optimal community clustering for sharing economy<br>15. View value analysis using 3D urban structure data<br>16. Big Spatial Data Analysis: case studies in New York<br>17. Big Spatial Data Analysis: case studies in London </p>

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        Spatial Analysis Using Big Data