Spatial Analysis Using Big Data

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  • Author : Yoshiki Yamagata
  • Publisher : Academic Press
  • Pages : 302 pages
  • ISBN : 0128131322
  • Rating : /5 from reviews
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Download or Read online Spatial Analysis Using Big Data full in PDF, ePub and kindle. this book written by Yoshiki Yamagata and published by Academic Press which was released on 03 November 2019 with total page 302 pages. We cannot guarantee that Spatial Analysis Using Big Data book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 : 03 November 2019
GET THIS BOOK Spatial Analysis Using Big Data

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

Spatial Analysis Using Big Data

Spatial Analysis Using Big Data
  • Author : Yoshiki Yamagata,Hajime Seya
  • Publisher : Academic Press
  • Release : 01 October 2019
GET THIS BOOK Spatial Analysis Using Big Data

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 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

Big Data Analytics for Sustainable Computing

Big Data Analytics for Sustainable Computing
  • Author : Haldorai, Anandakumar,Ramu, Arulmurugan
  • Publisher : IGI Global
  • Release : 20 September 2019
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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 of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data

Distributed and Parallel Architectures for Spatial Data

Distributed and Parallel Architectures for Spatial Data
  • Author : Alberto Belussi,Sara Migliorini
  • Publisher : MDPI
  • Release : 20 January 2021
GET THIS BOOK Distributed and Parallel Architectures for Spatial Data

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.

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 : 23 November 2020
GET THIS BOOK Big Data Computing for Geospatial Applications

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 challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and

Spatial Analysis with R

Spatial Analysis with R
  • Author : Tonny J. Oyana
  • Publisher : CRC Press
  • Release : 31 August 2020
GET THIS BOOK Spatial Analysis with R

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 algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based

Spatial Analysis

Spatial Analysis
  • Author : Tonny J. Oyana,Florence Margai
  • Publisher : CRC Press
  • Release : 28 July 2015
GET THIS BOOK Spatial Analysis

An introductory text for the next generation of geospatial analysts and data scientists, Spatial Analysis: Statistics, Visualization, and Computational Methods focuses on the fundamentals of spatial analysis using traditional, contemporary, and computational methods. Outlining both non-spatial and spatial statistical concepts, the authors present p

Spatial Analysis Modelling and Planning

Spatial Analysis  Modelling and Planning
  • Author : Jorge Rocha,José António Tenedório
  • Publisher : BoD – Books on Demand
  • Release : 28 November 2018
GET THIS BOOK Spatial Analysis Modelling and Planning

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 locational information is provided, spatial analysis researchers can use it to calculate statistical and mathematical relationships through time and space. This book aims to demonstrate how computer methods of spatial

Big Data for Regional Science

Big Data for Regional Science
  • Author : Laurie A Schintler,Zhenhua Chen
  • Publisher : Routledge
  • Release : 07 August 2017
GET THIS BOOK Big Data for Regional Science

Recent technological advancements and other related factors and trends are contributing to the production of an astoundingly large and rapidly accelerating collection of data, or ‘Big Data’. This data now allows us to examine urban and regional phenomena in ways that were previously not possible. Despite the tremendous potential of big data for regional science, its use and application in this context is fraught with issues and challenges. This book brings together leading contributors to present an interdisciplinary, agenda-setting and

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 : 11 March 2014
GET THIS BOOK Big Data and Internet of Things A Roadmap for Smart Environments

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 to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects,

Spatial Big Data BIM and advanced GIS for Smart Transformation

Spatial Big Data  BIM and advanced GIS for Smart Transformation
  • Author : Sara Shirowzhan,Willie Tan,Samad M. E. Sepasgozar
  • Publisher : MDPI
  • Release : 02 December 2020
GET THIS BOOK Spatial Big Data BIM and advanced GIS for Smart Transformation

This book covers a range of topics including selective technologies and algorithms that can potentially contribute to developing an intelligent environment and smarter cities. While the connectivity and efficiency of smart cities is important, the analysis of the impact of construction development and large projects in the city is crucial to decision and policy makers, before the project is approved. This book also presents an agenda for future investigations to address the need for advanced tools such as mobile scanners,

Archaeological Spatial Analysis

Archaeological Spatial Analysis
  • Author : Mark Gillings,Piraye Hacıgüzeller,Gary Lock
  • Publisher : Routledge
  • Release : 16 January 2020
GET THIS BOOK Archaeological Spatial Analysis

Effective spatial analysis is an essential element of archaeological research; this book is a unique guide to choosing the appropriate technique, applying it correctly and understanding its implications both theoretically and practically. Focusing upon the key techniques used in archaeological spatial analysis, this book provides the authoritative, yet accessible, methodological guide to the subject which has thus far been missing from the corpus. Each chapter tackles a specific technique or application area and follows a clear and coherent structure. First

Big Data Applications in Geography and Planning

Big Data Applications in Geography and Planning
  • Author : Mark Birkin,Graham Clarke,Jonathan Corcoran,Robert Stimson
  • Publisher : Edward Elgar Publishing
  • Release : 28 May 2021
GET THIS BOOK Big Data Applications in Geography and Planning

This unique book demonstrates the utility of big data approaches in human geography and planning. Offering a carefully curated selection of case studies, it reveals how researchers are accessing big data, what this data looks like and how such data can offer new and important insights and knowledge.

Data centric Regenerative Built Environment

Data centric Regenerative Built Environment
  • Author : Saeed Banihashemi,Sepideh Zarepour Sohi
  • Publisher : Routledge
  • Release : 18 March 2022
GET THIS BOOK Data centric Regenerative Built Environment

This book examines the use of big data in regenerative urban environment and how data helps in functional planning and design solutions. This book is one of the first endeavors to present the data-driven methods for regenerative built environments and integrate it with the novel design solutions. It looks at four specific areas in which data is used – urban land use, transportation and traffic, environmental concerns and social issues – and draws on the theoretical literature concerning regenerative built environments to

COVID 19 Pandemic Geospatial Information and Community Resilience

COVID 19 Pandemic  Geospatial Information  and Community Resilience
  • Author : Abbas Rajabifard,Daniel Paez,Greg Foliente
  • Publisher : CRC Press
  • Release : 07 June 2021
GET THIS BOOK COVID 19 Pandemic Geospatial Information and Community Resilience

"The Open Access version of this book, available at https://www.taylorfrancis.com/books/oa-edit/10.1201/9781003181590, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license." Geospatial information plays an important role in managing location dependent pandemic situations across different communities and domains. Geospatial information and technologies are particularly critical to strengthening urban and rural resilience, where economic, agricultural, and various social sectors all intersect. Examining the United Nations' SDGs from a geospatial lens will ensure that the challenges