TOWARDS THE DEVELOPMENT OF A TAXONOMY FOR VISUALISATION OF STREAMED GEOSPATIAL DATA

2016 ◽

Vol III-2 ◽

pp. 129-136

Author(s):

B. H. Sibolla ◽

T. Van Zyl ◽

S. Coetzee

Keyword(s):

Open Source ◽

Data Streams ◽

Information Model ◽

Streaming Data ◽

Geospatial Data ◽

Human Interaction ◽

Two Dimensional ◽

Design Phase ◽

Data Visualisation ◽

Library Development

Geospatial data has very specific characteristics that need to be carefully captured in its visualisation, in order for the user and the viewer to gain knowledge from it. The science of visualisation has gained much traction over the last decade as a response to various visualisation challenges. During the development of an open source based, dynamic two-dimensional visualisation library, that caters for geospatial streaming data, it was found necessary to conduct a review of existing geospatial visualisation taxonomies. The review was done in order to inform the design phase of the library development, such that either an existing taxonomy can be adopted or extended to fit the needs at hand. The major challenge in this case is to develop dynamic two dimensional visualisations that enable human interaction in order to assist the user to understand the data streams that are continuously being updated. This paper reviews the existing geospatial data visualisation taxonomies that have been developed over the years. Based on the review, an adopted taxonomy for visualisation of geospatial streaming data is presented. Example applications of this taxonomy are also provided. The adopted taxonomy will then be used to develop the information model for the visualisation library in a further study.

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Web Based GIS Application using Open Source Software for Sharing Geospatial Data

International Journal of Advanced Remote Sensing and GIS ◽

10.23953/cloud.ijarsg.109 ◽

2015 ◽

Vol 4 (1) ◽

pp. 1224-1228 ◽

Cited By ~ 9

Author(s):

Debasish Chakraborty ◽

◽

Debanjan Sarkar ◽

Shubham Agarwal ◽

Dibyendu Dutta ◽

...

Keyword(s):

Open Source ◽

Open Source Software ◽

Geospatial Data ◽

Web Based ◽

Gis Application

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Open Source Architecture for "Nuovo CEP"

Advanced Engineering Forum ◽

10.4028/www.scientific.net/aef.11.171 ◽

2014 ◽

Vol 11 ◽

pp. 171-176

Author(s):

Gabriele Di Quarto ◽

Antonino Labate ◽

Maurizio Malaspina

Keyword(s):

Open Source ◽

Design Phase ◽

Design Paradigm ◽

Technological Level ◽

Constructive Criticism ◽

Suburban Neighbourhood

The Open Source Architecture (OSArc) is a new collaborative way to design common and shared areas at an architectural level, but also at an urban and technological level, etc.. It allows you to participate in the design phase both practically, with your technical contributions, and actively, with constructive criticism and intelligent and innovative suggestions. We thought of using this new design paradigm to make the Nuovo CEP project feasible and economically sustainable through the cooperation of both professionals and non-professionals (i.e. inhabitants, students, etc.). Nuovo CEP is a project, which aims to redevelop a suburban neighbourhood and transform it into a mini smart solar city. The OSArc for Nuovo CEP is realized by means of a wiki website where all interested users can register and insert their contributions together with others members of the community. In this paper, we are going to explain the Nuovo CEP project and its objectives, which will be a guideline and an inspiring source for users contributions. Then we will explain the wiki website structure used to implement the platform for the OSArc.

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PARTIcle Shape ANalyzer PARTISAN – an open source tool for multi-standard two-dimensional particle morphometry analysis

Annals of Geophysics ◽

10.4401/ag-7865 ◽

2018 ◽

Vol 61 (Vol 61 (2018)) ◽

Cited By ~ 5

Author(s):

Tobias Dürig ◽

M. Bowman ◽

James White ◽

Arran Murch ◽

Daniela Mele ◽

...

Keyword(s):

Open Source ◽

Particle Shape ◽

Two Dimensional ◽

Open Source Tool ◽

Morphometry Analysis

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WPS ENABLED SDI: AN OPEN SOURCE APPROACH TO PROVIDE GEOPROCESSING IN WEB ENVIRONMENT

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-iv-5-w2-119-2019 ◽

2019 ◽

Vol IV-5/W2 ◽

pp. 119-126

Author(s):

A. K. Tripathi ◽

S. Agrawal ◽

R. D. Gupta

Keyword(s):

Open Source ◽

Spatial Data ◽

Geospatial Data ◽

Distributed Data ◽

Data Infrastructure ◽

Web Environment ◽

Local Resources ◽

Processing Service ◽

Server Architecture ◽

The Web

Abstract. Sharing and management of geospatial data among different communities and users is a challenge which is suitably addressed by Spatial Data Infrastructure (SDI). SDI helps people in the discovery, editing, processing and visualization of spatial data. The user can download the data from SDI and process it using the local resources. However, large volume and heterogeneity of data make this processing difficult at the client end. This problem can be resolved by orchestrating the Web Processing Service (WPS) with SDI. WPS is a service interface through which geoprocessing can be done over the internet. In this paper, a WPS enabled SDI framework with OGC compliant services is conceptualized and developed. It is based on the three tier client server architecture. OGC services are provided through GeoServer. WPS extension of GeoServer is used to perform geospatial data processing and analysis. The developed framework is utilized to create a public health SDI prototype using Open Source Software (OSS). The integration of WPS with SDI demonstrates how the various data analysis operations of WPS can be performed over the web on distributed data sources provided by SDI.

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Visualizing the Bug Distribution Information Available in Software Bug Repositories

Data Mining and Analysis in the Engineering Field - Advances in Data Mining and Database Management ◽

10.4018/978-1-4666-6086-1.ch003 ◽

2014 ◽

pp. 48-66

Author(s):

N. K. Nagwani ◽

S. Verma

Keyword(s):

Open Source ◽

Three Dimensional ◽

Distribution Patterns ◽

Two Dimensional ◽

Software Bugs ◽

Process Visualization ◽

Software Information ◽

Visualization Techniques ◽

Software Bug ◽

Bug Repositories

Software repositories contain a wealth of information that can be analyzed for knowledge extraction. Software bug repositories are one such repository that stores the information about the defects identified during the development of software. Information available in software bug repositories like number of bugs priority-wise, component-wise, status-wise, developers-wise, module-wise, summary-terms-wise, can be visualized with the help of two- or three-dimensional graphs. These visualizations help in understanding the bug distribution patterns, software matrices related to the software bugs, and developer information in the bug-fixing process. Visualization techniques are exploited with the help of open source technologies in this chapter to visualize the bug distribution information available in the software bug repositories. Two-dimensional and three-dimensional graphs are generated using java-based open source APIs, namely Jzy3d (Java Easy 3d) and JFreeChart. Android software bug repository is selected for the experimental demonstrations of graphs. The textual bug attribute information is also visualized using frequencies of frequent terms present in it.

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Deterministic real-time analytics of geospatial data streams through ScaleGate objects

Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems - DEBS '15 ◽

10.1145/2675743.2776758 ◽

2015 ◽

Cited By ~ 13

Author(s):

Vincenzo Gulisano ◽

Yiannis Nikolakopoulos ◽

Ivan Walulya ◽

Marina Papatriantafilou ◽

Philippas Tsigas

Keyword(s):

Real Time ◽

Data Streams ◽

Geospatial Data

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Two Dimensional Numerical Study of the Flow over a Bridge Deck with the Open Source CFD Tool OpenFOAM

43rd Fluid Dynamics Conference ◽

10.2514/6.2013-3212 ◽

2013 ◽

Cited By ~ 2

Author(s):

Gennaro Campitelli ◽

Vesselin K. Krastev ◽

Wade W. Huebsch ◽

Mridul Gautam

Keyword(s):

Open Source ◽

Bridge Deck ◽

Numerical Study ◽

Two Dimensional

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Efficient Data Streams Based Closed Frequent Itemsets Mining Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.256-259.2910 ◽

2012 ◽

Vol 256-259 ◽

pp. 2910-2913

Author(s):

Jun Tan

Keyword(s):

Data Streams ◽

Sliding Window ◽

Frequent Itemsets ◽

Streaming Data ◽

Efficient Data ◽

Closed Itemsets ◽

Frequent Itemsets Mining ◽

Synthetic Datasets ◽

Online Mining ◽

Mining Data Streams

Online mining of frequent closed itemsets over streaming data is one of the most important issues in mining data streams. In this paper, we proposed a novel sliding window based algorithm. The algorithm exploits lattice properties to limit the search to frequent close itemsets which share at least one item with the new transaction. Experiments results on synthetic datasets show that our proposed algorithm is both time and space efficient.

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