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Spatial Analysis Using Big Data

Spatial Analysis Using Big Data Book
Author : Yoshiki Yamagata,Hajime Seya
Publisher : Academic Press
Release : 2019-11-03
ISBN : 0128131322
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Yoshiki Yamagata,Hajime Seya
Publisher : Academic Press
Release : 2019-10
ISBN : 9780128131275
Language : En, Es, Fr & De

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Book Description :

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 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

Big Data Applications in Geography and Planning

Big Data Applications in Geography and Planning Book
Author : Mark Birkin,Graham Clarke,Jonathan Corcoran,Robert Stimson
Publisher : Edward Elgar Publishing
Release : 2021-05-28
ISBN : 1789909791
Language : En, Es, Fr & De

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Book Description :

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.

Big Data Analytics for Sustainable Computing

Big Data Analytics for Sustainable Computing Book
Author : Haldorai, Anandakumar,Ramu, Arulmurugan
Publisher : IGI Global
Release : 2019-09-20
ISBN : 1522597522
Language : En, Es, Fr & De

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Book Description :

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 Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Distributed and Parallel Architectures for Spatial Data

Distributed and Parallel Architectures for Spatial Data Book
Author : Alberto Belussi,Sara Migliorini
Publisher : MDPI
Release : 2021-01-20
ISBN : 3039367501
Language : En, Es, Fr & De

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Book Description :

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.

Spatial Analysis with R

Spatial Analysis with R Book
Author : Tonny J. Oyana
Publisher : CRC Press
Release : 2020-08-31
ISBN : 1000173453
Language : En, Es, Fr & De

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Book Description :

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 problem-solving learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes. New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data mining This second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.

Spatial Analysis

Spatial Analysis Book
Author : Tonny J. Oyana,Florence Margai
Publisher : CRC Press
Release : 2015-07-28
ISBN : 1498707645
Language : En, Es, Fr & De

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Book Description :

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 practical applications of geospatial data tools, techniques, and strategies in geographic studies. They offer a problem-based learning (PBL) approach to spatial analysis—containing hands-on problem-sets that can be worked out in MS Excel or ArcGIS—as well as detailed illustrations and numerous case studies. The book enables readers to: Identify types and characterize non-spatial and spatial data Demonstrate their competence to explore, visualize, summarize, analyze, optimize, and clearly present statistical data and results Construct testable hypotheses that require inferential statistical analysis Process spatial data, extract explanatory variables, conduct statistical tests, and explain results Understand and interpret spatial data summaries and statistical tests Spatial Analysis: Statistics, Visualization, and Computational Methods incorporates traditional statistical methods, spatial statistics, visualization, and computational methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Topics covered include: spatial descriptive methods, hypothesis testing, spatial regression, hot spot analysis, geostatistics, spatial modeling, and data science.

Big Data Computing for Geospatial Applications

Big Data Computing for Geospatial Applications Book
Author : Zhenlong Li,Wenwu Tang,Qunying Huang,Eric Shook,Qingfeng Guan
Publisher : MDPI
Release : 2020-11-23
ISBN : 3039432443
Language : En, Es, Fr & De

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Book Description :

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 the transformation of abstract ideas and models to concrete data structures and algorithms.

Spatial Analysis Modelling and Planning

Spatial Analysis  Modelling and Planning Book
Author : Jorge Rocha,José António Tenedório
Publisher : BoD – Books on Demand
Release : 2018-11-28
ISBN : 1789842395
Language : En, Es, Fr & De

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Book Description :

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 analysis and modeling, integrated in a GIS environment, can be used to better understand reality and give rise to more informed and, thus, improved planning. It provides a comprehensive discussion of spatial analysis, methods, and approaches related to planning.

Big Data and Internet of Things A Roadmap for Smart Environments

Big Data and Internet of Things  A Roadmap for Smart Environments Book
Author : Nik Bessis,Ciprian Dobre
Publisher : Springer
Release : 2014-03-11
ISBN : 331905029X
Language : En, Es, Fr & De

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Book Description :

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, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications. The book contains 19 self-contained chapters that were very carefully selected based on peer review by at least two expert and independent reviewers and is organized into the three sections reflecting the general themes of interest to the IoT and Big Data communities: Section I: Foundations and Principles Section II: Advanced Models and Architectures Section III: Advanced Applications and Future Trends The book is intended for researchers interested in joining interdisciplinary and transdisciplinary works in the areas of Smart Environments, Internet of Things and various computational technologies for the purpose of an integrated collective computational intelligence approach into the Big Data era.

Big Data for Regional Science

Big Data for Regional Science Book
Author : Laurie A Schintler,Zhenhua Chen
Publisher : Routledge
Release : 2017-08-07
ISBN : 1351983261
Language : En, Es, Fr & De

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Book Description :

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 action-oriented platform for research and practice in the urban and regional community. This book provides a comprehensive, multidisciplinary and cutting-edge perspective on big data for regional science. Chapters contain a collection of research notes contributed by experts from all over the world with a wide array of disciplinary backgrounds. The content is organized along four themes: sources of big data; integration, processing and management of big data; analytics for big data; and, higher level policy and programmatic considerations. As well as concisely and comprehensively synthesising work done to date, the book also considers future challenges and prospects for the use of big data in regional science. Big Data for Regional Science provides a seminal contribution to the field of regional science and will appeal to a broad audience, including those at all levels of academia, industry, and government.

Spatial Big Data BIM and advanced GIS for Smart Transformation

Spatial Big Data  BIM and advanced GIS for Smart Transformation Book
Author : Sara Shirowzhan,Willie Tan,Samad M. E. Sepasgozar
Publisher : MDPI
Release : 2020-12-02
ISBN : 3039360302
Language : En, Es, Fr & De

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Book Description :

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, Geospatial Artificial Intelligence, Unmanned Aerial Vehicles, Geospatial Augmented Reality apps, Light Detection, and Ranging in smart cities. Some of selected specific tools presented in this book are as a simulator for improving the smart parking practices by modelling drivers with activity plans, a bike optimization algorithm to increase the efficiency of bike stations, an agent-based model simulation of human mobility with the use of mobile phone datasets. In addition, this book describes the use of numerical methods to match the network demand and supply of bicycles, investigate the distribution of railways using different indicators, presents a novel algorithm of direction-aware continuous moving K-nearest neighbor queries in road networks, and presents an efficient staged evacuation planning algorithm for multi-exit buildings.

Archaeological Spatial Analysis

Archaeological Spatial Analysis Book
Author : Mark Gillings,Piraye Hacıgüzeller,Gary Lock
Publisher : Routledge
Release : 2020-01-16
ISBN : 1351243845
Language : En, Es, Fr & De

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Book Description :

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 is a richly referenced introduction to the particular technique, followed by a detailed description of the methodology, then an archaeological case study to illustrate the application of the technique, and conclusions that point to the implications and potential of the technique within archaeology. The book is designed to function as the main textbook for archaeological spatial analysis courses at undergraduate and post-graduate level, while its user-friendly structure makes it also suitable for self-learning by archaeology students as well as researchers and professionals.

Data centric Regenerative Built Environment

Data centric Regenerative Built Environment Book
Author : Saeed Banihashemi,Sepideh Zarepour Sohi
Publisher : Routledge
Release : 2022-03-18
ISBN : 1000593193
Language : En, Es, Fr & De

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Book Description :

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 explain how the power of big data can achieve the systematic integration of urban design solutions. It then applies an in-depth case study method on Asian metropolises including Beijing and Tehran to bring the developed innovation into a research-led practical context. This book is a useful reference for anyone interested in driving sustainable regeneration of our urban environments through big data-centric design solutions.

COVID 19 Pandemic Geospatial Information and Community Resilience

COVID 19 Pandemic  Geospatial Information  and Community Resilience Book
Author : Abbas Rajabifard,Daniel Paez,Greg Foliente
Publisher : CRC Press
Release : 2021-06-07
ISBN : 1000402924
Language : En, Es, Fr & De

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Book Description :

"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 are addressed for all populations in different locations. This book, with worldwide contributions focused on COVID-19 pandemic, provides interdisciplinary analysis and multi-sectoral expertise on the use of geospatial information and location intelligence to support community resilience and authorities to manage pandemics.

Advanced Research in Technologies Information Innovation and Sustainability

Advanced Research in Technologies  Information  Innovation and Sustainability Book
Author : Teresa Guarda,Filipe Portela,Manuel Filipe Santos
Publisher : Springer Nature
Release : 2021-11-17
ISBN : 3030902412
Language : En, Es, Fr & De

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Book Description :

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, Security, and Privacy; Sustainability.

Advanced Multimedia and Ubiquitous Engineering

Advanced Multimedia and Ubiquitous Engineering Book
Author : James J. (Jong Hyuk) Park,Shu-Ching Chen,Kim-Kwang Raymond Choo
Publisher : Springer
Release : 2017-05-11
ISBN : 9811050414
Language : En, Es, Fr & De

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Book Description :

This book presents the proceedings of the 11th International Conference on Multimedia and Ubiquitous Engineering (MUE2017) and the 12th International Conference on Future Information Technology (FutureTech2017), held in Seoul, South Korea on May 22–24, 2017. These two conferences provided an opportunity for academic and industrial professionals to discuss recent advances in the area of multimedia and ubiquitous environments including models and systems, new directions, and novel applications associated with the utilization and acceptance of ubiquitous computing devices and systems. The resulting papers address the latest technological innovations in the fields of digital convergence, multimedia convergence, intelligent applications, embedded systems, mobile and wireless communications, bio-inspired computing, grid and cloud computing, semantic web, user experience, HCI, and security and trust computing. The book offers a valuable resource for a broad readership, including students, academic researchers, and professionals. Further, it provides an overview of current research and a “snapshot” for those new to the field.

Business Intelligence and Big Data

Business Intelligence and Big Data Book
Author : Celina M. Olszak
Publisher : CRC Press
Release : 2020-11-17
ISBN : 1000218287
Language : En, Es, Fr & De

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Book Description :

The twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported? Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization. The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as: Analysis and interpretation of the essence of BI and BD Decision support Potential areas of BI and BD utilization in organizations Factors determining success with using BI and BD The role of BI and BD in value creation for organizations Identifying barriers and constraints related to BI and BD design and implementation The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success.

Development Studies in Regional Science

Development Studies in Regional Science Book
Author : Zhenhua Chen,William M. Bowen,Dale Whittington
Publisher : Springer Nature
Release : 2020-02-21
ISBN : 9811514356
Language : En, Es, Fr & De

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Book Description :

This book examines major policy and planning issues in development studies from the regional science perspective. It investigates questions such as: “How are communities able to deal with uncertainties raised by conflicts, technology, and external shocks in the process of development?”; “How can nations achieve sustainable development in terms of resource allocation and management?”; and “How can developing countries improve their economic competitiveness while maintaining the objectives of equitable and coordinated growth among different regions?” using case studies that focus on different subfields, like infrastructure, environment, data science, sustainability and resilience. The book is organized in three parts. Part I clarifies fundamental issues regarding development studies and regional science in general, while Part II includes several case studies that address development-related opportunities and challenges with a focus on Asian countries. Lastly, Part III offers a global perspective and explores development experiences from countries throughout the world. Featuring contributions by leading academics and practitioners working at various organizations linked to international development, and including multidisciplinary analyses, the book appeals to students who are interested in development studies and regional science. It also offers planners and policymakers fresh insights into regional economic development.

Assessing COVID 19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis

Assessing COVID 19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis Book
Author : Subhendu Kumar Pani
Publisher : Springer Nature
Release : 2022-07-01
ISBN : 3030797538
Language : En, Es, Fr & De

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Book Description :

Download Assessing COVID 19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis book written by Subhendu Kumar Pani, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.