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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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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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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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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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Spatial Synthesis

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

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Advances in Geo-Spatial Information Science

-spatial information science (such as spatial data mining, mobile data modeling, and location-based services). The book contains selected and;

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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 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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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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Advancing Strategic Science

Science is increasingly driven by data, and spatial data underpin the science directions laid out in the 2007 U.S. Geological Survey (USGS;

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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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Handbook on Entropy, Complexity and Spatial Dynamics

shaped by their structure and dynamics. Moreover, considering current concerns that big data and related data-driven methods may signal an end to;

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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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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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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and Spatial;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and 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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Spatial Data Mining

edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science;

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Big Data und Data Science in der strategischen Beschaffung

Big Data und Data Science sind Trends, die sowohl in der Wissenschaft als auch in Unternehmen auf grosses Interesse stossen. Dieses;

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Geographic Information Science

organized in topical sections such as spatial algorithms; network analysis; spatial analysis; spatial methods; user-generated data and linked data;

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Big Data Meets Survey Science

Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection;

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Computational and Statistical Methods for Analysing Big Data with Applications

statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours;

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Big Data for Regional Science

rapidly accelerating collection of data, or 'Big Data'. This data now allows us to examine urban and regional phenomena in ways that were;

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