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Seeing Cities Through Big Data: Research, Methods and Applications in Urban Informatics, Thakuriah Piyushimita (Vonu), Tilahun Nebiyou, Zellner Moira


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Автор: Thakuriah Piyushimita (Vonu), Tilahun Nebiyou, Zellner Moira
Название:  Seeing Cities Through Big Data: Research, Methods and Applications in Urban Informatics
ISBN: 9783319822136
Издательство: Springer
Классификация:





ISBN-10: 3319822136
Обложка/Формат: Paperback
Страницы: 559
Вес: 0.80 кг.
Дата издания: 16.06.2018
Серия: Springer geography
Язык: English
Издание: Softcover reprint of
Иллюстрации: 93 tables, color; 122 illustrations, color; 17 illustrations, black and white; xvii, 559 p. 139 illus., 122 illus. in color.
Размер: 23.39 x 15.60 x 2.97 cm
Читательская аудитория: General (us: trade)
Подзаголовок: Research, methods and applications in urban informatics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Introduction to Seeing Cities Through Big Data - Research, Methods, and Applications in Urban Informatics.- Big Data and Urban Informatics: Innovations and Challenges to Urban Planning and Knowledge Discovery.- Analytics of user-generated content.- Using User-Generated Content to Understand Cities.- Developing an Interactive Mobile Volunteered Geographic Information Platform to Integrate Environmental Big Data and Citizen Science in Urban Management.- CyberGIS-enabled Urban Sensing from Volunteered Citizen Participation Using Mobile Devices.- Challenges and opportunities of urban Big Data.- The Potential for Big Data to Improve Neighborhood-Level Census Data.- Big Data and Survey Research: Supplement or Substitute?.- Big Spatio-temporal Network Data Analytics for Smart Cities: Research Needs.- A review of heteroscedasticity treatment with Gaussian Processes and Quantile Regression meta-models.- Changing organizational and educational perspectives with urban Big Data.- Urban Informatics: Critical Data and Technology Considerations.- Emerging Urban Digital Infomediaries and Civic Hacking in an Era of Big Data and Open Data Initiatives.- How Should Urban Planners Be Trained to Handle Big Data?.- Energy Planning in Big data Era: A Theme Study of the Residential Sector.- Urban data management.- Using an online spatial analytics workbench for understanding housing affordability in Sydney.- A Big Data Mashing Tool for Measuring Transit System Performance.- Developing a Comprehensive U.S. Transit Accessibility Database.- Seeing Chinese Cities through Big Data and Statistics.- Urban knowledge discovery applied to different urban contexts.- Planning for the Change: Mapping Sea Level Rise and Storm Inundation in Sherman Island Using 3Di Hydrodynamic Model and LiDAR.- The Impact of Land-Use Variables on Free-floating Carsharing Vehicle Rental Choice and Parking Duration.- Dynamic Agent Based Simulation of an Urban Disaster Using Synthetic Big Data.- Estimation of Urban Transport Accessibility at the Spatial Resolution of an Individual Traveler.- Modeling Taxi Demand and Supply in New York City Using Large-Scale Taxi GPS Data.- Detecting stop episodes from GPS trajectories with gaps.- Emergencies and Crisis.- Using Social Media and Satellite Data for Damage Assessment in Urban Areas During Emergencies.- Health and well-being.- Big Data: Pedestrian Volume Using Google Street View Images.- Learning from Outdoor Webcams: Surveillance of Physical Activity Across Environments.- Mapping Urban Soundscapes via Citygram.- Social equity and data democracy.- Big Data and Smart (Equitable) Cities.- Big Data, Small Apps: Premises and Products of the Civic Hackathon.




Qualitative Data Analysis with NVivo

Автор: Kristi Jackson, Patricia Bazeley
Название: Qualitative Data Analysis with NVivo
ISBN: 1526449935 ISBN-13(EAN): 9781526449931
Издательство: Sage Publications
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Цена: 17424.00 р.
Наличие на складе: Поставка под заказ.

Описание: Practical, focused and jargon-free this book shows you the power and potential of NVivo software across a wide range of research questions, data types, perspectives and methodologies.

Propensity score methods and applications

Автор: Bai, Haiyan Clark, M. H.
Название: Propensity score methods and applications
ISBN: 1506378056 ISBN-13(EAN): 9781506378053
Издательство: Sage Publications
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Цена: 5859.00 р.
Наличие на складе: Поставка под заказ.

Описание: A concise, introductory text on propensity score methods that is easy to comprehend by those who have a limited background in statistics, and is practical enough for researchers to quickly generalize and apply the methods.

Qualitative Data Collection Tools: Design, Development, and Applications

Автор: Felice D. Billups
Название: Qualitative Data Collection Tools: Design, Development, and Applications
ISBN: 1544334826 ISBN-13(EAN): 9781544334820
Издательство: Sage Publications
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Цена: 5859.00 р.
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Описание: Qualitative Data Collection Tools by Felice D. Billups is a new and unique supplementary text that will guide students and new researchers to design, develop, pilot, and employ qualitative tools in order to collect qualitative data.

Handbook of Research on Big Data Management and Applications

Автор: Manoj Kumar Singh
Название: Handbook of Research on Big Data Management and Applications
ISBN: 1522501827 ISBN-13(EAN): 9781522501824
Издательство: Mare Nostrum (Eurospan)
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Цена: 51005.00 р.
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Описание: Explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fuelled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students.

Seeing Cities Through Big Data

Автор: Thakuriah
Название: Seeing Cities Through Big Data
ISBN: 331940900X ISBN-13(EAN): 9783319409009
Издательство: Springer
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Цена: 30745.00 р.
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Описание: 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.

Materials Informatics: Methods, Tools, and Applications

Автор: Isayev O
Название: Materials Informatics: Methods, Tools, and Applications
ISBN: 3527341218 ISBN-13(EAN): 9783527341214
Издательство: Wiley
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Цена: 15357.00 р.
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Описание: Provides everything readers need to know for applying the power of informatics to materials science

There is a tremendous interest in materials informatics and application of data mining to materials science. This book is a one-stop guide to the latest advances in these emerging fields. Bridging the gap between materials science and informatics, it introduces readers to up-to-date data mining and machine learning methods. It also provides an overview of state-of-the-art software and tools. Case studies illustrate the power of materials informatics in guiding the experimental discovery of new materials.

Materials Informatics: Methods, Tools and Applications is presented in two parts?Methodological Aspects of Materials Informatics and Practical Aspects and Applications. The first part focuses on developments in software, databases, and high-throughput computational activities. Chapter topics include open quantum materials databases; the ICSD database; open crystallography databases; and more. The second addresses the latest developments in data mining and machine learning for materials science. Its chapters cover genetic algorithms and crystal structure prediction; MQSPR modeling in materials informatics; prediction of materials properties; amongst others.

-Bridges the gap between materials science and informatics
-Covers all the known methodologies and applications of materials informatics
-Presents case studies that illustrate the power of materials informatics in guiding the experimental quest for new materials
-Examines the state-of-the-art software and tools being used today

Materials Informatics: Methods, Tools and Applications is a must-have resource for materials scientists, chemists, and engineers interested in the methods of materials informatics.

Classic Grounded Theory: Applications with Qualitative and Quantitative Data

Автор: Holton Judith A., Walsh Isabelle
Название: Classic Grounded Theory: Applications with Qualitative and Quantitative Data
ISBN: 1483372545 ISBN-13(EAN): 9781483372549
Издательство: Sage Publications
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Цена: 9504.00 р.
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Описание: This book provides practical step-by-step guidance for doing grounded theory (GT) using the classic approach articulated by Barney Glaser.

Conversations about Group Concept Mapping: Applications, Examples, and Enhancements

Автор: Kane Mary, Rosas Scott R.
Название: Conversations about Group Concept Mapping: Applications, Examples, and Enhancements
ISBN: 1506329187 ISBN-13(EAN): 9781506329185
Издательство: Sage Publications
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Цена: 9504.00 р.
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Описание: Conversations About Group Concept Mapping: Applications, Examples, & Enhancements takes a concise, practice-based approach to concept mapping. After defining the method, demonstrating how to design a project, and providing guidelines to analyse the results, the book then dives into real research exemplars.

Analyzing the Role of Citizen Science in Modern Research

Автор: Ceccaroni Luigi, Piera Jaume
Название: Analyzing the Role of Citizen Science in Modern Research
ISBN: 1522509623 ISBN-13(EAN): 9781522509622
Издательство: Mare Nostrum (Eurospan)
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Цена: 27027.00 р.
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Описание: As the need for sustainable development practices around the world continues to grow, it has become imperative for citizens to become actively engaged in the global transition. By evaluating data collected from various global programs, researchers are able to identify strategies and challenges in implementing civic engagement initiatives.Analyzing the Role of Citizen Science in Modern Research focuses on analyzing data on current initiatives and best practices in citizen engagement and education programs across various disciplines. Highlighting emergent research and application techniques within citizen science initiatives, this publication appeals to academicians, researchers, policy makers, government officials, technology developers, advanced-level students and program developers interested in launching or improving citizen science programs across the globe.

Walking through social research

Название: Walking through social research
ISBN: 1138393142 ISBN-13(EAN): 9781138393141
Издательство: Taylor&Francis
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Цена: 6736.00 р.
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Описание:

As an ethnographic method walking has a long history, but it has only recently begun to attract focused attention. By walking alongside participants, researchers have been able to observe, experience, and make sense of a broad range of everyday practices. At the same time, the idea of talking and walking with participants has enabled research to be informed by the landscapes in which it takes place. By sharing conversations in place, and at the participants' pace, sociologists are beginning to develop both a feel for, and a theoretical understanding of, the transient, embodied and multisensual aspects of walking. The result, as this collection demonstrates, is an understanding of the social world evermore congruent with people's lived experiences of it.  

This interdisciplinary collection comprises a unique journey through a variety of walking methodologies. The collection highlights a range of possibilities for enfolding sound, smell, emotion, movement and memory into our accounts, illustrating the sensuousness, skill, pitfalls and rewards of walking as a research practice. Each chapter draws on original empirical research to present ways of walking and to discuss the conceptual, practical and technical issues that walking entails. Alongside feet on the ground, the devices and technologies that make up hybrid research mobilities are brought to attention. The collection is bookended by two short pedestrian essays that take the reader on illustrative urban walks, suggesting routes through the city, as well as ways in which the reader might make their own path through walking methods.

An innovative title, Walking Through Social Research will be of interest to undergraduate and postgraduate students, researchers and academics who are interested in Sociology, Geography, Cultural Studies, Urban Studies and Qualitative Research Methods.

Integrated Urban Models Volume 2: New Research and Applications of Optimization and Dynamics (Routledge Revivals)

Автор: Putman Stephen H.
Название: Integrated Urban Models Volume 2: New Research and Applications of Optimization and Dynamics (Routledge Revivals)
ISBN: 0415750342 ISBN-13(EAN): 9780415750349
Издательство: Taylor&Francis
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Цена: 5205.00 р.
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Описание: Following on from Integrated Models Volume 1: Policy Analysis of Transportation and Lane Use (Routledge Library Editions, 2006), this book bridges the gap between the scholars and the practitioners of transportation and land-use modelling. First published in 1991, chapters discuss model-calibration and model-solution problems, describe a series of numerical and policy analyses, and propose potential directions for location and land-use research. This reissue will be of particular value to undergraduate and postgraduate geography students with an interest in integrated urban modelling; in particular, the research conducted in the field over the past two decades.

Challenges in Social Network Research: Methods and Applications

Автор: Ragozini Giancarlo, Vitale Maria Prosperina
Название: Challenges in Social Network Research: Methods and Applications
ISBN: 3030314650 ISBN-13(EAN): 9783030314651
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis.


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