Spatial Analysis Using Big Data

Produk Detail:
  • Author : Yoshiki Yamagata
  • Publisher : Academic Press
  • Pages : 302 pages
  • ISBN : 0128131322
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Spatial Analysis Using Big Data

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

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 : 09 January 2021
GET THIS BOOK Geographical Data Science and Spatial Data Analytics in R

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 describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (ie the location attached to data), or that consider

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 : 10 December 2018
GET THIS BOOK An Introduction to R for Spatial Analysis and Mapping

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 applications in GIS, spatial analyses, spatial statistics, web-scraping and more. Revised and updated, each chapter includes: example data and commands to explore hands-on; scripts and coding to exemplify specific functionality;

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 Analytics for Sustainable Computing

Big Data Analytics for Sustainable Computing
  • Author : Haldorai, Anandakumar,Ramu, Arulmurugan
  • Publisher : IGI Global
  • Release : 20 September 2019
GET THIS BOOK Big Data Analytics for Sustainable Computing

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

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 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 Data Handling in Big Data Era

Spatial Data Handling in Big Data Era
  • Author : Chenghu Zhou,Fenzhen Su,Francis Harvey,Jun Xu
  • Publisher : Springer
  • Release : 04 May 2017
GET THIS BOOK Spatial Data Handling in Big Data Era

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 the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In

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,

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 : 14 December 2017
GET THIS BOOK Big Data and Computational Intelligence in Networking

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 data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence.

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

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

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.

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

Advanced Research in Technologies Information Innovation and Sustainability

Advanced Research in Technologies  Information  Innovation and Sustainability
  • Author : Teresa Guarda,Filipe Portela,Manuel Filipe Santos
  • Publisher : Springer Nature
  • Release : 17 November 2021
GET THIS BOOK Advanced Research in Technologies Information Innovation and Sustainability

This book constitutes the refereed proceedings of the First International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2021, held in La Libertad, Ecuador, in November 2021. The 53 full papers and 2 short contributions were carefully reviewed and selected from 155 submissions. The volume covers a variety of topics, such as computer systems organization, software engineering, information storage and retrieval, computing methodologies, artificial intelligence, and others. The papers are logically organized in the following thematic blocks: ​Computing Solutions; Data Intelligence; Ethics,