Spatial Analysis Using Big Data

Written By Yoshiki Yamagata
Spatial Analysis Using Big Data
  • Publsiher : Academic Press
  • Release : 03 November 2019
  • ISBN : 0128131322
  • Pages : 302 pages
  • Rating : /5 from reviews
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Download or read book entitled Spatial Analysis Using Big Data by author: Yoshiki Yamagata which was release on 03 November 2019 and published by Academic Press with total page 302 pages . This book available in PDF, EPUB and Kindle Format. 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

Spatial Analysis Using Big Data

Spatial Analysis Using Big Data
  • 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 ...

Spatial Analysis Using Big Data

Spatial Analysis Using Big Data
  • Author : Yoshiki Yamagata,Hajime Seya
  • Publisher : Academic Press
  • Release Date : 2019-10
  • Total pages : 300
  • ISBN : 0128131322
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Summary : Spatial Analysis using Big Data: Econometrical Methods and 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 ...

Geographical Data Science and Spatial Data Analytics in R

Geographical Data Science and Spatial Data Analytics in R
  • Author : Lex Comber,Chris Brunsdon
  • Publisher : Spatial Analytics and GIS
  • Release Date : 2021-01-09
  • Total pages : 336
  • 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 ...

Big Data for Remote Sensing Visualization Analysis and Interpretation

Big Data for Remote Sensing  Visualization  Analysis and Interpretation
  • Author : Nilanjan Dey,Chintan Bhatt,Amira S. Ashour
  • Publisher : Springer
  • Release Date : 2018-05-23
  • Total pages : 154
  • ISBN : 0128131322
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Summary : This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book ...

Spatial Planning in the Big Data Revolution

Spatial Planning in the Big Data Revolution
  • 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, ...

An Introduction to R for Spatial Analysis and Mapping

An Introduction to R for Spatial Analysis and Mapping
  • 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 ...

Distributed and Parallel Architectures for Spatial Data

Distributed and Parallel Architectures for Spatial Data
  • 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....

R Mining spatial text web and social media data

R  Mining spatial  text  web  and social media data
  • Author : Bater Makhabel,Pradeepta Mishra,Nathan Danneman,Richard Heimann
  • Publisher : Packt Publishing Ltd
  • Release Date : 2017-06-19
  • Total pages : 651
  • ISBN : 0128131322
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Summary : Create data mining algorithms About This Book Develop a strong strategy to solve predictive modeling problems using the most popular data mining algorithms Real-world case studies will take you from novice to intermediate to apply data mining techniques Deploy cutting-edge sentiment analysis techniques to real-world social media data using R ...

Spatial Big Data Science

Spatial Big Data Science
  • Author : Zhe Jiang,Shashi Shekhar
  • Publisher : Springer
  • Release Date : 2017-07-13
  • Total pages : 131
  • ISBN : 0128131322
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Summary : Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challenges such as water resource management, food security, disaster response, and transportation. However, significant computational challenges exist in analyzing SBD due to the unique spatial characteristics including spatial autocorrelation, anisotropy, heterogeneity, multiple scales and resolutions which is ...

Big Data Analytics for Sustainable Computing

Big Data Analytics for Sustainable Computing
  • Author : Haldorai, Anandakumar,Ramu, Arulmurugan
  • Publisher : IGI Global
  • Release Date : 2019-09-20
  • Total pages : 263
  • ISBN : 0128131322
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Summary : Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study ...

Spatial Analysis with R

Spatial Analysis with R
  • 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 ...

Spatial Analysis Modelling and Planning

Spatial Analysis  Modelling and Planning
  • 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 ...

Big Data Computing for Geospatial Applications

Big Data Computing for Geospatial Applications
  • Author : Zhenlong Li,Wenwu Tang,Qunying Huang,Eric Shook,Qingfeng Guan
  • Publisher : MDPI
  • Release Date : 2020-11-23
  • Total pages : 222
  • ISBN : 0128131322
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Summary : The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data ...

Big Data and Internet of Things A Roadmap for Smart Environments

Big Data and Internet of Things  A Roadmap for Smart Environments
  • Author : Nik Bessis,Ciprian Dobre
  • Publisher : Springer
  • Release Date : 2014-03-11
  • Total pages : 470
  • ISBN : 0128131322
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Summary : This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related ...

Big Data and Computational Intelligence in Networking

Big Data and Computational Intelligence in Networking
  • Author : Yulei Wu,Fei Hu,Geyong Min,Albert Y. Zomaya
  • Publisher : CRC Press
  • Release Date : 2017-12-14
  • Total pages : 530
  • ISBN : 0128131322
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Summary : This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big ...