Advances In Geospatial Data Science

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Geospatial Data Analytics and Urban Applications

Sandeep Narayan Kundu
Geospatial Data Analytics and Urban Applications Book PDF

Author : Sandeep Narayan Kundu
Publisher : Springer Nature
Page : 197 pages
File Size : 42,6 Mb
Release : 2022-01-03
Category : Computers
ISBN : 9789811676499

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Geospatial Data Analytics and Urban Applications by Sandeep Narayan Kundu Pdf

This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. With a connected world, we are generating spatial at unprecedented rates which can be harnessed for insightful analytics which define the way we analyze past events and define the future directions. This book is an anthology of applications of spatial data and analytics performed on them for gaining insights which can be used for problem solving in an urban setting. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data. The book shall benefit mature researchers and student alike to discourse a variety of urban applications which display the use of machine learning algorithms on spatial big data for real-world problem solving.

Geospatial Data Science Techniques and Applications

Hassan A. Karimi,Bobak Karimi
Geospatial Data Science Techniques and Applications Book PDF

Author : Hassan A. Karimi,Bobak Karimi
Publisher : CRC Press
Page : 375 pages
File Size : 54,5 Mb
Release : 2017-10-24
Category : Computers
ISBN : 9781351855983

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Geospatial Data Science Techniques and Applications by Hassan A. Karimi,Bobak Karimi Pdf

Data science has recently gained much attention for a number of reasons, and among them is Big Data. Scientists (from almost all disciplines including physics, chemistry, biology, sociology, among others) and engineers (from all fields including civil, environmental, chemical, mechanical, among others) are faced with challenges posed by data volume, variety, and velocity, or Big Data. This book is designed to highlight the unique characteristics of geospatial data, demonstrate the need to different approaches and techniques for obtaining new knowledge from raw geospatial data, and present select state-of-the-art geospatial data science techniques and how they are applied to various geoscience problems.

Advances in Geospatial Data Science

Rodrigo Tapia-McClung,Oscar Sánchez-Siordia,Karime González-Zuccolotto,Hugo Carlos-Martínez
Advances in Geospatial Data Science Book PDF

Author : Rodrigo Tapia-McClung,Oscar Sánchez-Siordia,Karime González-Zuccolotto,Hugo Carlos-Martínez
Publisher : Springer Nature
Page : 205 pages
File Size : 52,8 Mb
Release : 2022-05-17
Category : Computers
ISBN : 9783030980962

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Advances in Geospatial Data Science by Rodrigo Tapia-McClung,Oscar Sánchez-Siordia,Karime González-Zuccolotto,Hugo Carlos-Martínez Pdf

This book presents a selection of manuscripts submitted to the 2nd International Conference on Geospatial Information Sciences 2021, a virtual conference held on November 3-5, 2021. These papers were selected by the Scientific Program Committee of the Conference after a rigorous peer-review process. They represent the vast scope of the interdisciplinary research areas that characterize the Geospatial Information Sciences that is done in the discipline. It especially represents a fabulous opportunity to showcase research carried out by young Mexican researchers and showcase it to the rest of the world and enhance the growth of the sciences in the country while, at the same time, enforces them to level up with other research at the international level.

Emerging Trends, Techniques, and Applications in Geospatial Data Science

Loveleen Gaur,P. K. Garg
Emerging Trends Techniques and Applications in Geospatial Data Science Book PDF

Author : Loveleen Gaur,P. K. Garg
Publisher : Unknown
Page : 0 pages
File Size : 48,7 Mb
Release : 2023
Category : Big data
ISBN : 1668473194

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Emerging Trends, Techniques, and Applications in Geospatial Data Science by Loveleen Gaur,P. K. Garg Pdf

"This book provides an overview of basic concepts of data science, related tools & technologies, and algorithms for handling the relevant challenges in real-time applications domains. The book covers a detailed description to the readers with practical ideas of using AI, IoT, machine learning to deal with the analysis, modeling and predications from big data. This book comprises of topics which provide in depth understanding of various latest tools and techniques used in the analysis of geospatial big data for real-time applications, as well as to deal with the relevant challenges for future applications. Overall this publication 'The Geospatial Data Science: Emerging Trends, Techniques and Applications', would help the readers to understand the value and importance of big data to individuals as well as homes and organizations. In addition, it will provide insights to undertake research work in future challenging areas"--

Geospatial Data Science Quick Start Guide

Abdishakur Hassan,Jayakrishnan Vijayaraghavan
Geospatial Data Science Quick Start Guide Book PDF

Author : Abdishakur Hassan,Jayakrishnan Vijayaraghavan
Publisher : Packt Publishing Ltd
Page : 165 pages
File Size : 49,6 Mb
Release : 2019-05-31
Category : Computers
ISBN : 9781789809336

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Geospatial Data Science Quick Start Guide by Abdishakur Hassan,Jayakrishnan Vijayaraghavan Pdf

Discover the power of location data to build effective, intelligent data models with Geospatial ecosystems Key FeaturesManipulate location-based data and create intelligent geospatial data modelsBuild effective location recommendation systems used by popular companies such as UberA hands-on guide to help you consume spatial data and parallelize GIS operations effectivelyBook Description Data scientists, who have access to vast data streams, are a bit myopic when it comes to intrinsic and extrinsic location-based data and are missing out on the intelligence it can provide to their models. This book demonstrates effective techniques for using the power of data science and geospatial intelligence to build effective, intelligent data models that make use of location-based data to give useful predictions and analyses. This book begins with a quick overview of the fundamentals of location-based data and how techniques such as Exploratory Data Analysis can be applied to it. We then delve into spatial operations such as computing distances, areas, extents, centroids, buffer polygons, intersecting geometries, geocoding, and more, which adds additional context to location data. Moving ahead, you will learn how to quickly build and deploy a geo-fencing system using Python. Lastly, you will learn how to leverage geospatial analysis techniques in popular recommendation systems such as collaborative filtering and location-based recommendations, and more. By the end of the book, you will be a rockstar when it comes to performing geospatial analysis with ease. What you will learnLearn how companies now use location dataSet up your Python environment and install Python geospatial packagesVisualize spatial data as graphsExtract geometry from spatial dataPerform spatial regression from scratchBuild web applications which dynamically references geospatial dataWho this book is for Data Scientists who would like to leverage location-based data and want to use location-based intelligence in their data models will find this book useful. This book is also for GIS developers who wish to incorporate data analysis in their projects. Knowledge of Python programming and some basic understanding of data analysis are all you need to get the most out of this book.

Advances in Geo-Spatial Information Science

Wenzhong Shi,Michael Goodchild,Brian Lees,Yee Leung
Advances in Geo Spatial Information Science Book PDF

Author : Wenzhong Shi,Michael Goodchild,Brian Lees,Yee Leung
Publisher : CRC Press
Page : 338 pages
File Size : 53,5 Mb
Release : 2012-06-12
Category : Technology & Engineering
ISBN : 9780415620932

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Advances in Geo-Spatial Information Science by Wenzhong Shi,Michael Goodchild,Brian Lees,Yee Leung Pdf

Advances in Geo-Spatial Information Science presents recent advances regarding fundamental issues of geo-spatial information science (space and time, spatial analysis, uncertainty modeling and geo-visualization), and new scientific and technological research initiatives for geo-spatial information science (such as spatial data mining, mobile data modeling, and location-based services). The book contains selected and revised papers presented at the joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science (Hong Kong, 26–28 May 2010), and brings together three related international academic communities: spatial information science, spatial data handling, and modeling geographic systems. Advances in Geo-Spatial Information Science will be of interest for academics and professionals interested in spatial information science, spatial data handling, and modeling of geographic systems.

Applied Geospatial Data Science with Python

David S. Jordan
Applied Geospatial Data Science with Python Book PDF

Author : David S. Jordan
Publisher : Packt Publishing Ltd
Page : 308 pages
File Size : 45,5 Mb
Release : 2023-02-28
Category : Computers
ISBN : 9781803240343

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Applied Geospatial Data Science with Python by David S. Jordan Pdf

Intelligently connect data points and gain a deeper understanding of environmental problems through hands-on Geospatial Data Science case studies written in Python The book includes colored images of important concepts Key Features Learn how to integrate spatial data and spatial thinking into traditional data science workflows Develop a spatial perspective and learn to avoid common pitfalls along the way Gain expertise through practical case studies applicable in a variety of industries with code samples that can be reproduced and expanded Book DescriptionData scientists, when presented with a myriad of data, can often lose sight of how to present geospatial analyses in a meaningful way so that it makes sense to everyone. Using Python to visualize data helps stakeholders in less technical roles to understand the problem and seek solutions. The goal of this book is to help data scientists and GIS professionals learn and implement geospatial data science workflows using Python. Throughout this book, you’ll uncover numerous geospatial Python libraries with which you can develop end-to-end spatial data science workflows. You’ll learn how to read, process, and manipulate spatial data effectively. With data in hand, you’ll move on to crafting spatial data visualizations to better understand and tell the story of your data through static and dynamic mapping applications. As you progress through the book, you’ll find yourself developing geospatial AI and ML models focused on clustering, regression, and optimization. The use cases can be leveraged as building blocks for more advanced work in a variety of industries. By the end of the book, you’ll be able to tackle random data, find meaningful correlations, and make geospatial data models.What you will learn Understand the fundamentals needed to work with geospatial data Transition from tabular to geo-enabled data in your workflows Develop an introductory portfolio of spatial data science work using Python Gain hands-on skills with case studies relevant to different industries Discover best practices focusing on geospatial data to bring a positive change in your environment Explore solving use cases, such as traveling salesperson and vehicle routing problems Who this book is for This book is for you if you are a data scientist seeking to incorporate geospatial thinking into your workflows or a GIS professional seeking to incorporate data science methods into yours. You’ll need to have a foundational knowledge of Python for data analysis and/or data science.

Advances in Spatial Data Handling and GIS

Anthony G.O. Yeh,Wenzhong Shi,Yee Leung,Chenghu Zhou
Advances in Spatial Data Handling and GIS Book PDF

Author : Anthony G.O. Yeh,Wenzhong Shi,Yee Leung,Chenghu Zhou
Publisher : Springer Science & Business Media
Page : 250 pages
File Size : 55,6 Mb
Release : 2012-06-06
Category : Science
ISBN : 9783642259265

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Advances in Spatial Data Handling and GIS by Anthony G.O. Yeh,Wenzhong Shi,Yee Leung,Chenghu Zhou Pdf

This book provides a cross-section of cutting-edge research areas being pursued by researchers in spatial data handling and geographic information science (GIS). It presents selected papers on the advancement of spatial data handling and GIS in digital cartography, geospatial data integration, geospatial database and data infrastructures, geospatial data modeling, GIS for sustainable development, the interoperability of heterogeneous spatial data systems, location-based services, spatial knowledge discovery and data mining, spatial decision support systems, spatial data structures and algorithms, spatial statistics, spatial data quality and uncertainty, the visualization of spatial data, and web and wireless applications in GIS.

Advances in Scalable and Intelligent Geospatial Analytics

Surya S Durbha,Jibonananda Sanyal,Lexie Yang,Sangita S Chaudhari,Ujwala Bhangale,Ujwala Bharambe,Kuldeep Kurte
Advances in Scalable and Intelligent Geospatial Analytics Book PDF

Author : Surya S Durbha,Jibonananda Sanyal,Lexie Yang,Sangita S Chaudhari,Ujwala Bhangale,Ujwala Bharambe,Kuldeep Kurte
Publisher : CRC Press
Page : 423 pages
File Size : 47,8 Mb
Release : 2023-05-12
Category : Technology & Engineering
ISBN : 9781000877489

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Advances in Scalable and Intelligent Geospatial Analytics by Surya S Durbha,Jibonananda Sanyal,Lexie Yang,Sangita S Chaudhari,Ujwala Bhangale,Ujwala Bharambe,Kuldeep Kurte Pdf

Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental- and natural resource-related problems. However, a variety of challenges are encountered in processing the highly voluminous geospatial data in a scalable and efficient manner. Technological advancements in high-performance computing, computer vision, and big data analytics are enabling the processing of big geospatial data in an efficient and timely manner. Many geospatial communities have already adopted these techniques in multidisciplinary geospatial applications around the world. This book is a single source that offers a comprehensive overview of the state of the art and future developments in this domain. FEATURES Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatial analytics Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial data This book is beneficial to graduate and postgraduate students, academicians, research scholars, working professionals, industry experts, and government research agencies working in the geospatial domain, where GIS and remote sensing are used for a variety of purposes. Readers will gain insights into the emerging trends on scalable geospatial data analytics.

Emerging Trends, Techniques, and Applications in Geospatial Data Science

Gaur, Loveleen,Garg, P.K.
Emerging Trends Techniques and Applications in Geospatial Data Science Book PDF

Author : Gaur, Loveleen,Garg, P.K.
Publisher : IGI Global
Page : 324 pages
File Size : 47,9 Mb
Release : 2023-04-24
Category : Technology & Engineering
ISBN : 9781668473214

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Emerging Trends, Techniques, and Applications in Geospatial Data Science by Gaur, Loveleen,Garg, P.K. Pdf

With the emergence of smart technology and automated systems in today’s world, big data is being incorporated into many applications. Trends in data can be detected and objects can be tracked based on the real-time data that is utilized in everyday life. These connected sensor devices and objects will provide a large amount of data that is to be analyzed quickly, as it can accelerate the transformation of smart technology. The accuracy of prediction of artificial intelligence (AI) systems is drastically increasing by using machine learning and other probability and statistical approaches. Big data and geospatial data help to solve complex issues and play a vital role in future applications. Emerging Trends, Techniques, and Applications in Geospatial Data Science provides an overview of the basic concepts of data science, related tools and technologies, and algorithms for managing the relevant challenges in real-time application domains. The book covers a detailed description for readers with practical ideas using AI, the internet of things (IoT), and machine learning to deal with the analysis, modeling, and predictions from big data. Covering topics such as field spectra, high-resolution sensing imagery, and spatiotemporal data engineering, this premier reference source is an excellent resource for data scientists, computer and IT professionals, managers, mathematicians and statisticians, health professionals, technology developers, students and educators of higher education, librarians, researchers, and academicians.

Advances in Web-based GIS, Mapping Services and Applications

Songnian Li,Suzana Dragicevic,Bert Veenendaal
Advances in Web based GIS Mapping Services and Applications Book PDF

Author : Songnian Li,Suzana Dragicevic,Bert Veenendaal
Publisher : CRC Press
Page : 398 pages
File Size : 45,6 Mb
Release : 2011-05-09
Category : Technology & Engineering
ISBN : 9781000006803

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Advances in Web-based GIS, Mapping Services and Applications by Songnian Li,Suzana Dragicevic,Bert Veenendaal Pdf

Advances in Web-based GIS, Mapping Services and Applications is published as part of ISPRS WG IV/5 effort, and aims at presenting (1) Recent technological advancements, e.g., new developments under Web 2.0, map mashups, neogeography and the like; (2) Balanced theoretical discussions and technical implementations; (3) Commentary on the current stage

Open Source Approaches in Spatial Data Handling

Brent Hall,Michael G. Leahy
Open Source Approaches in Spatial Data Handling Book PDF

Author : Brent Hall,Michael G. Leahy
Publisher : Springer Science & Business Media
Page : 285 pages
File Size : 45,8 Mb
Release : 2008-09-27
Category : Science
ISBN : 9783540748311

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Open Source Approaches in Spatial Data Handling by Brent Hall,Michael G. Leahy Pdf

The role open-source geospatial software plays in data handling within the spatial information technology industry is the overarching theme of the book. It also examines new tools and applications for those already using OS approaches to software development.

CyberGIS for Geospatial Discovery and Innovation

Shaowen Wang,Michael F. Goodchild
CyberGIS for Geospatial Discovery and Innovation Book PDF

Author : Shaowen Wang,Michael F. Goodchild
Publisher : Springer
Page : 298 pages
File Size : 53,9 Mb
Release : 2018-06-26
Category : Science
ISBN : 9789402415315

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CyberGIS for Geospatial Discovery and Innovation by Shaowen Wang,Michael F. Goodchild Pdf

This book elucidates how cyberGIS (that is, new-generation geographic information science and systems (GIS) based on advanced computing and cyberinfrastructure) transforms computation- and data-intensive geospatial discovery and innovation. It comprehensively addresses opportunities and challenges, roadmaps for research and development, and major progress, trends, and impacts of cyberGIS in the era of big data. The book serves as an authoritative source of information to fill the void of introducing this exciting and growing field. By providing a set of representative applications and science drivers of cyberGIS, this book demonstrates how cyberGIS has been advanced to enable cutting-edge scientific research and innovative geospatial application development. Such cyberGIS advances are contextualized as diverse but interrelated science and technology frontiers. The book also emphasizes several important social dimensions of cyberGIS such as for empowering deliberative civic engagement and enabling collaborative problem solving through structured participation. In sum, this book will be a great resource to students, academics, and geospatial professionals for leaning cutting-edge cyberGIS, geospatial data science, high-performance computing, and related applications and sciences.

Advanced Big Data Analytics Professional Level

CPA John Kimani ,Dr. James Scott
Advanced Big Data Analytics Professional Level Book PDF

Author : CPA John Kimani ,Dr. James Scott
Publisher : Finstock Evarsity Publishers
Page : 77 pages
File Size : 48,7 Mb
Release : 2023-08-28
Category : Computers
ISBN : 9789914753882

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Advanced Big Data Analytics Professional Level by CPA John Kimani ,Dr. James Scott Pdf

BOOK SUMMARY The main topics in this book are; • Machine Learning Algorithms for Predictive Analysis • Natural Language Processing in Text Analytics • Graph Analytics and Network Analysis • Time Series Analysis and Forecasting • Deep Learning in Image and Video Analytics • Streaming Data Analytics • Spatial Data Analysis and Geospatial Analytics • Big Data Ethics and Privacy Considerations “Advanced Big Data Analytics” offers a comprehensive exploration of cutting-edge techniques and methodologies in the realm of big data analysis. Through a blend of theoretical insights, practical examples and real-world case studies, the book guides readers in harnessing the power of vast datasets to uncover valuable insights, make informed decisions and address contemporary data-driven challenges.

Cloud Computing for Geospatial Big Data Analytics

Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy
Cloud Computing for Geospatial Big Data Analytics Book PDF

Author : Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy
Publisher : Springer
Page : 289 pages
File Size : 46,9 Mb
Release : 2018-12-11
Category : Technology & Engineering
ISBN : 9783030033590

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Cloud Computing for Geospatial Big Data Analytics by Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy Pdf

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 been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.