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The Rise of Big Spatial Data

This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical;

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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;

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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;

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Spatial Big Data Science

observation imagery big data. Specifically, the authors introduce several recent spatial classification techniques, such as spatial decision trees and;

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Geographical Data Science and Spatial Data Analysis

consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and;

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Handbook of Big Geospatial Data

introduction and overview of the rich field of spatial information science and big geospatial data. It introduces three different perspectives;

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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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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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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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Spatial Synthesis

This book describes how powerful computing technology, emerging big and open data sources, and theoretical perspectives on spatial;

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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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Thinking Big Data in Geography

contributors raise caution regarding the use of spatial big data, citing issues of accuracy, surveillance, and privacy.;

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Thinking Big Data in Geography

contributors raise caution regarding the use of spatial big data, citing issues of accuracy, surveillance, and privacy.;

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Big Data

, were carefully reviewed and selected from 42 submissions. Special focus of the conference has been Big Data and so the papers cover a wide;

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Spatial Big Data, BIM and advanced GIS for Smart Transformation

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Big Data

Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the;

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Big Data

Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the;

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Spatial Analysis with R

understand spatial data, analyze spatial relationships and patterns, and predict spatial processes. New in the Second Edition;

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Spatial Planning in the Big Data Revolution

allow more appropriate and complete analysis, descriptions, and elaborations. Spatial Planning in the Big Data Revolution is a critical;

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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;

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Spatial Data Management

Spatial database management deals with the storage, indexing, and querying of data with spatial features, such as location and geometric;

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Computational and Statistical Methods for Analysing Big Data with Applications

, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data;

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Geographic Data Mining and Knowledge Discovery

), GDW research, map cubes, spatial dependency, spatial clustering methods, clustering techniques for trajectory data, the INGENS 2.0 software;

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Web and Big Data

demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data;

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Web and Big Data

demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data;

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Web Information Systems Engineering - WISE 2016

carefully reviewed and selected from 233 submissions. The papers cover a wide range of topics such as Social Network Data Analysis; Recommender;

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