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- Spatial Analysis Using Big Data
- Author : Yoshiki Yamagata
- Publsiher : Academic Press
- Release : 03 November 2019
- ISBN : 0128131322
- Pages : 302 pages
- Rating : 4/5 from 21 reviews
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Read or download book entitled Spatial Analysis Using Big Data written by Yoshiki Yamagata which was release on 03 November 2019, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: 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
- Author : Yoshiki Yamagata,Hajime Seya
- Publisher : Academic Press
- Release Date : 2019-11-03
- Total pages : 302
- ISBN : 0128131322
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Summary : 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 ...
- Author : Miltiadis Lytras,Anna Visvizi
- Publisher : Elsevier
- Release Date : 2019-06-15
- Total pages : 288
- ISBN : 0128131322
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Summary : In 15 similarly structured chapters, Transitioning to Smart Cities: Mapping Political, Economic, and Social Risks and Threats serves as a primer on smart cities, providing readers with no prior knowledge on smart cities with an understanding of the current smart cities debates. Gathering cutting-edge research and insights from academics, practitioners and ...
- Author : Lex Comber,Chris Brunsdon
- Publisher : SAGE
- Release Date : 2020-12-02
- Total pages : 360
- ISBN : 0128131322
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Summary : We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges. Whilst other books ...
- Author : Chris Brunsdon,Lex Comber
- Publisher : SAGE
- Release Date : 2018-12-10
- Total pages : 336
- ISBN : 0128131322
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Summary : This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from ‘zero to hero’, updating the now standard text to further enable practical R ...
- Author : Petr Skoda,Fathalrahman Adam
- Publisher : Unknown
- Release Date : 2020-03
- Total pages : 400
- ISBN : 0128131322
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Summary : Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This ...
- Author : Alberto Belussi,Sara Migliorini
- Publisher : MDPI
- Release Date : 2021-01-20
- Total pages : 170
- ISBN : 0128131322
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Summary : This book aims at promoting new and innovative studies, proposing new architectures or innovative evolutions of existing ones, and illustrating experiments on current technologies in order to improve the efficiency and effectiveness of distributed and cluster systems when they deal with spatiotemporal data....
- Author : Jorge Rocha,José António Tenedório
- Publisher : BoD – Books on Demand
- Release Date : 2018-11-28
- Total pages : 268
- ISBN : 0128131322
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Summary : New powerful technologies, such as geographic information systems (GIS), have been evolving and are quickly becoming part of a worldwide emergent digital infrastructure. Spatial analysis is becoming more important than ever because enormous volumes of spatial data are available from different sources, such as social media and mobile phones. When ...
- Author : Chenghu Zhou,Fenzhen Su,Francis Harvey,Jun Xu
- Publisher : Springer
- Release Date : 2017-05-04
- Total pages : 237
- ISBN : 0128131322
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Summary : This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications. Spatial analysis and data mining are increasingly facing ...
- Author : Voghera, Angioletta,La Riccia, Luigi
- Publisher : IGI Global
- Release Date : 2019-03-15
- Total pages : 359
- ISBN : 0128131322
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Summary : Through interaction with other databases such as social media, geographic information systems have the ability to build and obtain not only statistics defined on the flows of people, things, and information but also on perceptions, impressions, and opinions about specific places, territories, and landscapes. It is thus necessary to systematize, ...
- Author : Tonny J. Oyana
- Publisher : CRC Press
- Release Date : 2020-08-31
- Total pages : 334
- ISBN : 0128131322
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Summary : In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning and deep learning ...
- Author : Pinto, Nuno Norte
- Publisher : IGI Global
- Release Date : 2013-07-31
- Total pages : 349
- ISBN : 0128131322
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Summary : "This book covers a multitude of newly developed hardware and software technology advancements in urban and spatial planning and architecture, drawing on the most current research and studies of field practitioners who offer solutions and recommendations for further growth, specifically in urban and spatial developments"--...
- Author : Sudipto Banerjee,Bradley P. Carlin,Alan E. Gelfand
- Publisher : CRC Press
- Release Date : 2014-09-12
- Total pages : 584
- ISBN : 0128131322
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Summary : Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling and Analysis for Spatial Data, ...
- Author : Adam Jorgensen,James Rowland-Jones,John Welch,Dan Clark,Christopher Price,Brian Mitchell
- Publisher : John Wiley & Sons
- Release Date : 2014-02-24
- Total pages : 408
- ISBN : 0128131322
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Summary : Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows ...
- Author : Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy
- Publisher : Springer
- Release Date : 2018-12-11
- Total pages : 289
- ISBN : 0128131322
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Summary : This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have ...
- Author : Swarnalatha, P.,Sevugan, Prabu
- Publisher : IGI Global
- Release Date : 2018-03-09
- Total pages : 253
- ISBN : 0128131322
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Summary : The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines ...