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Urban Analytics

2017-11-27 Social Science
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Release : 2017-11-27
Genre : Social Science
Kind : eBook
Book Rating : 592/5 ( reviews)

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Book Synopsis Urban Analytics by : Alex D. Singleton

Download or read book Urban Analytics written by Alex D. Singleton. This book was released on 2017-11-27. Available in PDF, EPUB and Kindle. Book excerpt: The economic and political situation of cities has shifted in recent years in light of rapid growth amidst infrastructure decline, the suburbanization of poverty and inner city revitalization. At the same time, the way that data are used to understand urban systems has changed dramatically. Urban Analytics offers a field-defining look at the challenges and opportunities of using new and emerging data to study contemporary and future cities through methods including GIS, Remote Sensing, Big Data and Geodemographics. Written in an accessible style and packed with illustrations and interviews from key urban analysts, this is a groundbreaking new textbook for students of urban planning, urban design, geography, and the information sciences.

Urban Analytics with Social Media Data

2022-07-20 Computers
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Release : 2022-07-20
Genre : Computers
Kind : eBook
Book Rating : 663/5 ( reviews)

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Book Synopsis Urban Analytics with Social Media Data by : Tan Yigitcanlar

Download or read book Urban Analytics with Social Media Data written by Tan Yigitcanlar. This book was released on 2022-07-20. Available in PDF, EPUB and Kindle. Book excerpt: The use of data science and urban analytics has become a defining feature of smart cities. This timely book is a clear guide to the use of social media data for urban analytics. The book presents the foundations of urban analytics with social media data, along with real-world applications and insights on the platforms we use today. It looks at social media analytics platforms, cyberphysical data analytics platforms, crowd detection platforms, City-as-a-Platform, and city-as-a-sensor for platform urbanism. The book provides examples to illustrate how we apply and analyse social media data to determine disaster severity, assist authorities with pandemic policy, and capture public perception of smart cities. This will be a useful reference for those involved with and researching social, data, and urban analytics and informatics.

Public Policy Analytics

2021-08-18 Business & Economics
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Release : 2021-08-18
Genre : Business & Economics
Kind : eBook
Book Rating : 57X/5 ( reviews)

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Book Synopsis Public Policy Analytics by : Ken Steif

Download or read book Public Policy Analytics written by Ken Steif. This book was released on 2021-08-18. Available in PDF, EPUB and Kindle. Book excerpt: Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.

Urban Informatics

2021-04-06 Social Science
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Release : 2021-04-06
Genre : Social Science
Kind : eBook
Book Rating : 836/5 ( reviews)

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Book Synopsis Urban Informatics by : Wenzhong Shi

Download or read book Urban Informatics written by Wenzhong Shi. This book was released on 2021-04-06. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.

Geospatial Data Analytics and Urban Applications

2022-01-03 Computers
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Release : 2022-01-03
Genre : Computers
Kind : eBook
Book Rating : 496/5 ( reviews)

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Book Synopsis Geospatial Data Analytics and Urban Applications by : Sandeep Narayan Kundu

Download or read book Geospatial Data Analytics and Urban Applications written by Sandeep Narayan Kundu. This book was released on 2022-01-03. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. With a connected world, we are generating spatial at unprecedented rates which can be harnessed for insightful analytics which define the way we analyze past events and define the future directions. This book is an anthology of applications of spatial data and analytics performed on them for gaining insights which can be used for problem solving in an urban setting. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data. The book shall benefit mature researchers and student alike to discourse a variety of urban applications which display the use of machine learning algorithms on spatial big data for real-world problem solving.

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