Urban Analytics With Social Media Data

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Urban Analytics with Social Media Data

Author : Tan Yigitcanlar,Nayomi Kankanamge
Publisher : CRC Press
Page : 416 pages
File Size : 48,9 Mb
Release : 2022-07-20
Category : Computers
ISBN : 9781000599688

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Urban Analytics with Social Media Data by Tan Yigitcanlar,Nayomi Kankanamge Pdf

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.

Urban Analytics with Social Media Data

Author : Tan Yigitcanlar,Nayomi Kankanamge
Publisher : CRC Press
Page : 437 pages
File Size : 46,5 Mb
Release : 2022-07-20
Category : Computers
ISBN : 9781000599664

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Urban Analytics with Social Media Data by Tan Yigitcanlar,Nayomi Kankanamge Pdf

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.

Visualizing the Data City

Author : Paolo Ciuccarelli,Giorgia Lupi,Luca Simeone
Publisher : Springer Science & Business Media
Page : 79 pages
File Size : 54,6 Mb
Release : 2014-02-17
Category : Computers
ISBN : 9783319021959

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Visualizing the Data City by Paolo Ciuccarelli,Giorgia Lupi,Luca Simeone Pdf

This book investigates novel methods and technologies for the collection, analysis and representation of real-time user-generated data at the urban scale in order to explore potential scenarios for more participatory design, planning and management processes. For this purpose, the authors present a set of experiments conducted in collaboration with urban stakeholders at various levels (including citizens, city administrators, urban planners, local industries and NGOs) in Milan and New York in 2012. It is examined whether geo-tagged and user-generated content can be of value in the creation of meaningful, real-time indicators of urban quality, as it is perceived and communicated by the citizens. The meanings that people attach to places are also explored to discover what such an urban semantic layer looks like and how it unfolds over time. As a conclusion, recommendations are proposed for the exploitation of user-generated content in order to answer hitherto unsolved urban questions. Readers will find in this book a fascinating exploration of techniques for mining the social web that can be applied to procure user-generated content as a means of investigating urban dynamics.

Urban Analytics

Author : Alex D. Singleton,Seth Spielman,David Folch
Publisher : SAGE
Page : 223 pages
File Size : 48,8 Mb
Release : 2017-11-27
Category : Social Science
ISBN : 9781526418593

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Urban Analytics by Alex D. Singleton,Seth Spielman,David Folch Pdf

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.

Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics

Author : Atsushi Nara,Ming-Hsiang Tsou
Publisher : Springer Nature
Page : 295 pages
File Size : 41,9 Mb
Release : 2021-09-20
Category : Social Science
ISBN : 9783030830106

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Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics by Atsushi Nara,Ming-Hsiang Tsou Pdf

This book discusses theoretical backgrounds, techniques and methodologies, and applications of the current state-of-the-art human dynamics research utilizing social media and geospatial big data. It describes various forms of social media and big data with location information, theory development, data collection and management techniques, and analytical methodologies to conduct human dynamics research including geographic information systems (GIS), spatiotemporal data analytics, text mining and semantic analysis, machine learning, trajectory data analysis, and geovisualization. The book also covers applied interdisciplinary research examples ranging from disaster management, public health, urban geography, and spatiotemporal information diffusion. By providing theoretical foundations, solid empirical research backgrounds, techniques, and methodologies as well as application examples from diverse interdisciplinary fields, this book will be a valuable resource to students, researchers and practitioners who utilize or plan to employ social media and big data in their work.

Seeing Cities Through Big Data

Author : Piyushimita (Vonu) Thakuriah,Nebiyou Tilahun,Moira Zellner
Publisher : Springer
Page : 559 pages
File Size : 50,5 Mb
Release : 2016-10-07
Category : Science
ISBN : 9783319409023

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Seeing Cities Through Big Data by Piyushimita (Vonu) Thakuriah,Nebiyou Tilahun,Moira Zellner Pdf

This book introduces the latest thinking on the use of Big Data in the context of urban systems, including research and insights on human behavior, urban dynamics, resource use, sustainability and spatial disparities, where it promises improved planning, management and governance in the urban sectors (e.g., transportation, energy, smart cities, crime, housing, urban and regional economies, public health, public engagement, urban governance and political systems), as well as Big Data’s utility in decision-making, and development of indicators to monitor economic and social activity, and for urban sustainability, transparency, livability, social inclusion, place-making, accessibility and resilience.

Big Data Science and Analytics for Smart Sustainable Urbanism

Author : Simon Elias Bibri
Publisher : Springer
Page : 337 pages
File Size : 55,6 Mb
Release : 2019-05-30
Category : Political Science
ISBN : 9783030173128

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Big Data Science and Analytics for Smart Sustainable Urbanism by Simon Elias Bibri Pdf

We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

Implementing Data-Driven Strategies in Smart Cities

Author : Didier Grimaldi,Carlos Carrasco-Farré
Publisher : Elsevier
Page : 258 pages
File Size : 42,9 Mb
Release : 2021-09-18
Category : Social Science
ISBN : 9780128211236

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Implementing Data-Driven Strategies in Smart Cities by Didier Grimaldi,Carlos Carrasco-Farré Pdf

Implementing Data-Driven Strategies in Smart Cities is a guidebook and roadmap for practitioners seeking to operationalize data-driven urban interventions. The book opens by exploring the revolution that big data, data science, and the Internet of Things are making feasible for the city. It explores alternate topologies, typologies, and approaches to operationalize data science in cities, drawn from global examples including top-down, bottom-up, greenfield, brownfield, issue-based, and data-driven. It channels and expands on the classic data science model for data-driven urban interventions – data capture, data quality, cleansing and curation, data analysis, visualization and modeling, and data governance, privacy, and confidentiality. Throughout, illustrative case studies demonstrate successes realized in such diverse cities as Barcelona, Cologne, Manila, Miami, New York, Nancy, Nice, São Paulo, Seoul, Singapore, Stockholm, and Zurich. Given the heavy emphasis on global case studies, this work is particularly suitable for any urban manager, policymaker, or practitioner responsible for delivering technological services for the public sector from sectors as diverse as energy, transportation, pollution, and waste management. Explores numerous specific urban interventions drawn from global case studies, helping readers understand real urban challenges and create data-driven solutions Provides a step-by-step and applied holistic guide and methodology for immediate application in the reader’s own business agenda Presents cutting edge technology presentation with coverage of innovations such as the Internet of Things, robotics, 5G, edge/fog computing, blockchain, intelligent transport systems, and connected-automated mobility

Applied Data Analysis for Urban Planning and Management

Author : Alasdair Rae,Cecilia Wong
Publisher : SAGE
Page : 123 pages
File Size : 44,8 Mb
Release : 2021-09-08
Category : Political Science
ISBN : 9781529737240

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Applied Data Analysis for Urban Planning and Management by Alasdair Rae,Cecilia Wong Pdf

This book showcases the different ways in which contemporary forms of data analysis are being used in urban planning and management. It highlights the emerging possibilities that city-regional governance, technology and data have for better planning and urban management - and discusses how you can apply them to your research. Including perspectives from across the globe, it’s packed with examples of good practice and helps to demystify the process of using big and open data. Learn about different kinds of emergent data sources and how they are processed, visualised and presented. Understand how spatial analysis and GIS are used in city planning. See examples of how contemporary data analytics methods are being applied in a variety of contexts, such as ‘smart’ city management and megacities. Aimed at upper undergraduate and postgraduate students studying spatial analysis and planning, this timely text is the perfect companion to enable you to apply data analytics approaches in your research.

Human Dynamics Research in Smart and Connected Communities

Author : Shih-Lung Shaw,Daniel Sui
Publisher : Springer
Page : 245 pages
File Size : 41,9 Mb
Release : 2018-02-13
Category : Social Science
ISBN : 9783319732473

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Human Dynamics Research in Smart and Connected Communities by Shih-Lung Shaw,Daniel Sui Pdf

This book addresses how accelerating advances in information and communication technology, mobile technology, and location-aware technology have fundamentally changed the ways how social, political, economic and transportation systems work in today’s globally connected world. It delivers on many exciting research questions related to human dynamics at both disaggregate and aggregate levels that attract the attention of researchers from a wide range of disciplines. Human Dynamics Research involves theoretical perspectives, space-time analytics, modeling human dynamics, urban analytics, social media and big data, travel dynamics, privacy issues, development of smart cities, and problems and prospects of human dynamics research. This book includes contributions on theoretical, technical, or application aspects of human dynamics research from different disciplines. Appealing to researchers, scholars and students across a wide range of topics and disciplines including: urban studies, space-time, mobility and the internet, social media, big data, behavioral geography and spatio-temporal-network visualization, this book offers a glimpse at the cutting edge of research on human dynamics.

Urban Analytics

Author : Alexander D. Singleton,Seth E. Spielman,David Folch
Publisher : Unknown
Page : 182 pages
File Size : 40,6 Mb
Release : 2018
Category : Cities and towns
ISBN : 152979370X

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Urban Analytics by Alexander D. Singleton,Seth E. Spielman,David Folch Pdf

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.

Social Media Analytics

Author : Matthew Ganis,Avinash Kohirkar
Publisher : IBM Press
Page : 308 pages
File Size : 53,7 Mb
Release : 2015-12-14
Category : Business & Economics
ISBN : 9780133892949

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Social Media Analytics by Matthew Ganis,Avinash Kohirkar Pdf

Transform Raw Social Media Data into Real Competitive Advantage There’s real competitive advantage buried in today’s deluge of social media data. If you know how to analyze it, you can increase your relevance to customers, establishing yourself as a trusted supplier in a cutthroat environment where consumers rely more than ever on “public opinion” about your products, services, and experiences. Social Media Analytics is the complete insider’s guide for all executives and marketing analysts who want to answer mission-critical questions and maximize the business value of their social media data. Two leaders of IBM’s pioneering Social Media Analysis Initiative offer thorough and practical coverage of the entire process: identifying the right unstructured data, analyzing it, and interpreting and acting on the knowledge you gain. Their expert guidance, practical tools, and detailed examples will help you learn more from all your social media conversations, and avoid pitfalls that can lead to costly mistakes. You’ll learn how to: Focus on the questions that social media data can realistically answer Determine which information is actually useful to you—and which isn’t Cleanse data to find and remove inaccuracies Create data models that accurately represent your data and lead to more useful answers Use historical data to validate hypotheses faster, so you don’t waste time Identify trends and use them to improve predictions Drive value “on-the-fly” from real-time/ near-real-time and ad hoc analyses Analyze text, a.k.a. “data at rest” Recognize subtle interrelationships that impact business performance Improve the accuracy of your sentiment analyses Determine eminence, and distinguish “talkers” from true influencers Optimize decisions about marketing and advertising spend Whether you’re a marketer, analyst, manager, or technologist, you’ll learn how to use social media data to compete more effectively, respond more rapidly, predict more successfully...grow profits, and keep them growing.

Data Action

Author : Sarah Williams
Publisher : MIT Press
Page : 309 pages
File Size : 50,5 Mb
Release : 2022-09-20
Category : Computers
ISBN : 9780262545310

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Data Action by Sarah Williams Pdf

How to use data as a tool for empowerment rather than oppression. Big data can be used for good, from tracking disease to exposing human rights violations, and for bad, implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. The approach generates policy debates, influences civic decisions, and informs design to help ensure that the voices of people represented in the data are neither marginalized nor left unheard.

Big Data Analytics

Author : Mrutyunjaya Panda,Ajith Abraham,Aboul Ella Hassanien
Publisher : CRC Press
Page : 255 pages
File Size : 54,7 Mb
Release : 2018-12-12
Category : Business & Economics
ISBN : 9781351622585

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Big Data Analytics by Mrutyunjaya Panda,Ajith Abraham,Aboul Ella Hassanien Pdf

Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the development of novel analytic approaches and tools. This reference work deals with social network aspects of big data analytics. It covers theory, practices and challenges in social networking. The book spans numerous disciplines like neural networking, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and intrusion detection.

Spatial Analysis Using Big Data

Author : Yoshiki Yamagata,Hajime Seya
Publisher : Academic Press
Page : 302 pages
File Size : 53,9 Mb
Release : 2019-11-03
Category : Business & Economics
ISBN : 9780128131329

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

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. Reviews some of the most powerful and challenging modern methods to study big data problems in spatial science Provides computer codes written in R, MATLAB and Python to help implement methods Applies these methods to common problems observed in urban and regional economics