2014 Fifth International Conference on Computing for Geospatial Research and Application

4-6 Aug. 2014

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  • [Front cover]

    Publication Year: 2014, Page(s): C4
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  • [Title page i]

    Publication Year: 2014, Page(s): i
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  • [Title page iii]

    Publication Year: 2014, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2014, Page(s): iv
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  • Table of contents

    Publication Year: 2014, Page(s):v - viii
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  • Message from General Chair and Program Chair

    Publication Year: 2014, Page(s):ix - xi
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  • Conference Committee

    Publication Year: 2014, Page(s): xii
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  • Keynotes

    Publication Year: 2014, Page(s):xiii - xvi
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (203 KB) | HTML iconHTML

    These keynote speeches discuss the following: On the Interrelation between Big Data, Driverless Cars, Geospatial Computing, and Visual Computing; Big Data - A System Integrator's Perspective; The Federal Big Data Initiative: Where it has been and where it is going; Oracle Keynote; Extreme Computing and Data Challenges; How Talking Cars Will Transform the Way We Travel; and NVIDIA Keynote. View full abstract»

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  • Emerging Tech Panels+ [3 panel abstracts]

    Publication Year: 2014, Page(s):xvii - xxii
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  • Workshops

    Publication Year: 2014, Page(s):xxiii - xxvi
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  • Leading-edge tech shows [4 tech show abstracts]

    Publication Year: 2014, Page(s):xxvii - xxix
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  • Sponsors and partners

    Publication Year: 2014, Page(s): xxx
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  • Large Scale Indexing of Geofences

    Publication Year: 2014, Page(s):1 - 8
    Cited by:  Papers (2)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (208 KB) | HTML iconHTML

    The modern smart phone and car concepts provide a fertile ground for new location-aware applications, ranging from traffic management to social services. While the functionality is partly implemented at the mobile terminal, there is a rising need for efficient backend processing of high-volume, high update rate location streams. It is in this environment that geofencing, the detection of objects t... View full abstract»

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  • HydroCloud: A Cloud-Based System for Hydrologic Data Integration and Analysis

    Publication Year: 2014, Page(s):9 - 16
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1105 KB) | HTML iconHTML

    The analysis of rainfall and runoff to characterize watershed response to storm events is a critical area of hydrologic research. A wealth of data exists to perform this analysis, but it is not easily accessible in a central location. The United States Geological Survey currently collects stream flow data for approximately 12,000 watersheds in the United States. The National Oceanic and Atmospheri... View full abstract»

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  • A Spatiotemporal Interpolation Method Using Radial Basis Functions for Geospatiotemporal Big Data

    Publication Year: 2014, Page(s):17 - 24
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB) | HTML iconHTML

    This research designs and implements the Radial Basis Function (RBF) spatiotemporal interpolation method to assess the trend of daily PM2.5 concentration for the contiguous United States over the year of 2009, at both the census block group level and county level. This research also compares the performance of the RBF spatiotemporal interpolation with the Inverse Distance Weighting (IDW... View full abstract»

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  • GLOBE: Analytics for Assessing Global Representativeness

    Publication Year: 2014, Page(s):25 - 32
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (541 KB) | HTML iconHTML

    The goal of meta-analysis is to synthesize results from a collection of studies in order to identify patterns that have broader applicability. In many of the global change sciences, these synthesis studies attempt to bring together results of local case studies to make claims about global patterns. In order to substantiate claims of generality, it is crucial to establish that the collected case st... View full abstract»

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  • A Hybrid Cloud Computing Approach for Managing Spatial Data: A Case Study for Water Resources in Greece

    Publication Year: 2014, Page(s):33 - 37
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (436 KB) | HTML iconHTML

    Global challenges and technology advancements have driven researchers and professionals to demand new tools for solving complex problems in terms of massive data exploitation. This paper describes a system that offers 3D visualisation of data with spatial interest regarding the management of water resources. The Software as a Service (SaaS) delivery is instrumented by a hybrid cloud implementation... View full abstract»

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  • An Efficient Architecture for Automatic Shaders Management on Virtual Globes

    Publication Year: 2014, Page(s):38 - 42
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (561 KB) | HTML iconHTML

    This paper presents the last advances in Glob3 Mobile, a multi-platform graphics engine for Virtual Globes oriented to any kind of user. More specifically, the document focuses on the possibilities that programmable graphic pipelines have to offer regarding the rendering of many kinds of geospatial symbology. This paper explains a few key aspects about what shading programs are, and their benefits... View full abstract»

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  • Reproducible, Automated and Objective Stream Threshold Selection and Upstream Riparian Corridor Delineation from Digital Elevation Models

    Publication Year: 2014, Page(s):43 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1242 KB) | HTML iconHTML

    Selection of accumulation thresholds for automated stream network extraction from digital elevation models (DEM) and delineation of upstream riparian corridors for given stream sampling points are important in water resources research. Accumulation threshold selection is often done by subjective comparison to a surveyed stream network and upstream riparian corridors are delineated manually. In thi... View full abstract»

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  • Digital Earth in a User-Centric Perspective

    Publication Year: 2014, Page(s):47 - 48
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (285 KB) | HTML iconHTML

    At the present, we are in the midst of another major societal shift that is leading to a hyper-connected society. In this hyper-connected society, the convergence of mobile technology, online access and global media is connecting masses of people without precedents, with resulting impacts on communication, content creation and social engagement. In this manuscript, we propose a conceptual framewor... View full abstract»

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  • The Implementation of Geo-Cloud SaaS System for Supporting the Civil Engineering Design Using BRMS Open Software

    Publication Year: 2014, Page(s):49 - 50
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (321 KB) | HTML iconHTML

    This project developed the civil computational design supporting platform and mobile application software which will be used in civil engineering area. This system was developed based on geographic information system (GIS), global position system technology, OGC software technology and expert software system. These kinds of software will be uploaded to private cloud system. This system, called CED... View full abstract»

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  • Geo-Data Fusion Integrator for Object-Oriented Spatiotemporal OLAP Cubes

    Publication Year: 2014, Page(s):51 - 53
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (144 KB) | HTML iconHTML

    We first propose a Geo-Data Fusion Integrator. Specifically, we design a sequential-parallel-modularized (SPM) approach to integrate different datasets into a geo-data object, i.e., a multidimensional unified-OLAP cube, archived in a geo-data warehouse for decision-making analysis. Different datasets of geo-data objects are processed in parallel across multi-stages in sequence, and then integrated... View full abstract»

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  • rasdaman: Array Databases Boost Spatio-Temporal Analytics

    Publication Year: 2014, Page(s): 54
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (398 KB) | HTML iconHTML

    Rasdaman (raster data manager") is the pioneer in Array Database Systems, the next generation in scalable scientific data services: it provides agile analytics on massive multidimensional raster data ("arrays"), such as regular and irregular spatio-temporal grids. An SQL-style query language allows users to flexibly build their own product in a "mix and match" style. The underlying engine boosts p... View full abstract»

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  • On the Organization of Cluster Voting with Massive Distributed Streams

    Publication Year: 2014, Page(s):55 - 62
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (355 KB) | HTML iconHTML

    Data processing is one of the important challenges on Big Data. In this paper we investigate optimal processing algorithm for massive data streams, propose a new processing algorithm called multi-buffer based majority algorithm. The algorithm maintains time complexity of O(n) and selects prevalent elements of frequencies as low as 1%. Our experiments indicate that multi-buffer based majority algor... View full abstract»

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  • Organization of Knowledge Extraction from Big Data Systems

    Publication Year: 2014, Page(s):63 - 69
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (573 KB) | HTML iconHTML

    Even though some of the present-day technologies provide a number of solutions for handling large amounts of data, the increasing accumulation of data -- also termed as Big Data -- from the Internet such as emails, videos, images, and text as well as the digital data in medicine, genetics, and sensors and wireless devices is demanding efficient organizational and engineering designs. Many forms of... View full abstract»

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