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Spatial Data Handling in Big Data Era

-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for;

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Spatial Data Handling in Big Data Era

-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for;

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The 3-D Global Spatial Data Model

Traditional methods for handling spatial data are encumbered by the assumption of separate origins for horizontal and vertical measurements;

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The 3D Global Spatial Data Model Principles and Applications, Second Edition

Traditional methods for handling spatial data are encumbered by the assumption of separate origins for horizontal and vertical measurements;

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The Rise of Big Spatial Data

era: though it's in sight, it isn't quite here yet. Big spatial data is characterised by three main features: volume beyond the limit of usual;

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Advances in Geo-Spatial Information Science

, 26-28 May 2010), and brings together three related international academic communities: spatial information science, spatial data handling;

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Spatial Big Data Science

Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challenges such as water resource management;

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Geographical Data Science and Spatial Data Analysis

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;

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Hierarchical Modeling and Analysis for Spatial Data

chapter on big data that shows how the predictive process handles reasonably large datasets New chapter on spatial and spatiotemporal gradient;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

, Systematic Review of Methods for Handling Uncertainties The book summarizes the principles of modeling uncertainty of spatial data and spatial;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

, Systematic Review of Methods for Handling Uncertainties The book summarizes the principles of modeling uncertainty of spatial data and spatial;

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Advances in Spatial Data Handling

This volume is based on the reviewed and edited proceedings of the International Symposium on Spatial Data Handling 2012, held in Bonn. The;

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Spatial Information Theory

following topics are addressed: spatial change, wayfinding and assistance, representing spatial data, handling language data, spatial language and;

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Handbook of Big Geospatial Data

forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real;

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Big Data in ehealthcare

This book focuses on the different aspects of handling big data in healthcare. It showcases the current state-of-the-art technology used;

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Big Data

big data, they often fall short of handling geospatial big data efficiently and effectively. Big Data: Techniques and Technologies;

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Big Data

big data, they often fall short of handling geospatial big data efficiently and effectively. Big Data: Techniques and Technologies;

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Big Data Application in Power Systems

distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning;

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Big Data Analytics (Database Management Systems)

. It elucidates the handling and storing of data through database management systems. It examines the challenges involved in big data analysis;

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Management in the Era of Big Data

This book is a wonderful collection of chapters that posits how managers need to cope in the Big Data era. It highlights many of the;

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Introduction to Spatial Data Analysis

Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be;

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An Introduction to Spatial Data Analysis

Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be;

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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;

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Advances in Big Data Analytics

Tools Algorithms for Big Data Big Data Management and Frameworks Big Data Search and Mining Methods Security and Privacy in the Era of Big;

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Computational and Statistical Methods for Analysing Big Data with Applications

with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which;

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Time In Geographic Information Systems

A study into the consideration of the temporal dimension of computerized spatial data handling using GIS. The book describes the use;

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Web and Big Data: APWeb-WAIM 2017 International Workshops

tools from all aspects of web data management with the focus on mobile web data analytics; big spatial data and urban computing; graph data;

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