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Spatial Data Handling in Big Data Era

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Cover of 'Spatial Data Handling in Big Data Era'

Table of Contents

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    Book Overview
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    Chapter 1 Using T-Drive and BerlinMod in Parallel SECONDO for Performance Evaluation of Geospatial Big Data Processing
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    Chapter 2 Integrated Geo-information Database for Geological Disposal of High-Level Radioactive Waste in China
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    Chapter 3 Analyzing the Uncertainties of Ground Validation for Remote Sensing Land Cover Mapping in the Era of Big Geographic Data
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    Chapter 4 Error in Spatial Ecology (PVM)
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    Chapter 5 A Framework for Event Information Extraction from Chinese News Online
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    Chapter 6 Evaluating Neighborhood Environment and Utilitarian Walking Behavior with Big Data: A Case Study in Tokyo Metropolitan Area
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    Chapter 7 A Space-Time GIS for Visualizing and Analyzing Clusters in Large Tracking Datasets
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    Chapter 8 An Extended Community Detection Algorithm to Compare Human Mobility Flow Based on Urban Polycentric Cluster Boundaries: A Case Study of Shenzhen City
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    Chapter 9 Improving GIScience Visualization: Ideas for a New Methodology
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    Chapter 10 Leveraging Big (Geo) Data with (Geo) Visual Analytics: Place as the Next Frontier
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    Chapter 11 A Comparative Study of Various Properties to Measure the Road Hierarchy in Road Networks
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    Chapter 12 Detail Resolution: A New Model to Describe Level of Detail Information of Vector Line Data
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    Chapter 13 Urban Growth Evaluation: A New Approach Using Neighborhood Characteristics of Remotely Sensed Land Use Data
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    Chapter 14 Influential Factors of Building Footprint Location and Prediction of Office Shape in City Blocks in Tokyo’s Commercial Zones
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    Chapter 15 Modelling Urban Growth Evolution Using SLEUTH Model: A Case Study in Wuhan City, China
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