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The Rise of Big Spatial Data

Overview of attention for book
Cover of 'The Rise of Big Spatial Data'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Application of Web-GIS for Dissemination and 3D Visualization of Large-Volume LiDAR Data
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    Chapter 2 Design and Evaluation of WebGL-Based Heat Map Visualization for Big Point Data
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    Chapter 3 Open Source First Person View 3D Point Cloud Visualizer for Large Data Sets
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    Chapter 4 Web-Based GIS Through a Big Data Open Source Computer Architecture for Real Time Monitoring Sensors of a Seaport
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    Chapter 5 Deriving Traffic-Related CO2 Emission Factors with High Spatiotemporal Resolution from Extended Floating Car Data
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    Chapter 6 Combining Different Data Types for Evaluation of the Soils Passability
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    Chapter 7 Sparse Big Data Problem. A Case Study of Czech Graffiti Crimes
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    Chapter 8 Towards Better 3D Model Accuracy with Spherical Photogrammetry
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    Chapter 9 Surveying of Open Pit Mine Using Low-Cost Aerial Photogrammetry
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    Chapter 10 Sentinel-1 Interferometry System in the High-Performance Computing Environment
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    Chapter 11 Modelling Karst Landscape with Massive Airborne and Terrestrial Laser Scanning Data
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    Chapter 12 Errors in the Short-Term Forest Resource Information Update
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    Chapter 13 Accuracy of High-Altitude Photogrammetric Point Clouds in Mapping
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    Chapter 14 Outlook for the Single-Tree-Level Forest Inventory in Nordic Countries
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    Chapter 15 Proximity-Driven Motives in the Evolution of an Online Social Network
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    Chapter 16 Mapping Emotions: Spatial Distribution of Safety Perception in the City of Olomouc
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    Chapter 17 Models for Relocation of Emergency Medical Stations
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    Chapter 18 Spatio-Temporal Variation of Accessibility by Public Transport—The Equity Perspective
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    Chapter 19 MapReduce Based Scalable Range Query Architecture for Big Spatial Data
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    Chapter 20 The Possibilities of Big GIS Data Processing on the Desktop Computers
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    Chapter 21 Utilization of the Geoinfomatics and Mathematical Modelling Tools for the Analyses of Importance and Risks of the Historic Water Works
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    Chapter 22 Creating Large Size of Data with Apache Hadoop
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    Chapter 23 Datasets of Basic Spatial Data in Chosen Countries of the European Union
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    Chapter 24 Spatial Data Analysis with the Use of ArcGIS and Tableau Systems
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    Chapter 25 Processing LIDAR Data with Apache Hadoop
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    Chapter 26 Compression of 3D Geographical Objects at Various Level of Detail
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    Chapter 27 Applicability of Support Vector Machines in Landslide Susceptibility Mapping
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    Chapter 28 Integration of Heterogeneous Data in the Support of the Forest Protection: Structural Concept
Overall attention for this book and its chapters
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Title
The Rise of Big Spatial Data
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-45123-7
ISBNs
978-3-31-945122-0, 978-3-31-945123-7
Editors

Igor Ivan, Alex Singleton, Jiří Horák, Tomáš Inspektor

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 6%
Other 3 5%
Student > Master 3 5%
Student > Doctoral Student 2 3%
Researcher 2 3%
Other 1 2%
Unknown 50 77%
Readers by discipline Count As %
Engineering 7 11%
Computer Science 2 3%
Agricultural and Biological Sciences 2 3%
Earth and Planetary Sciences 2 3%
Social Sciences 1 2%
Other 0 0%
Unknown 51 78%