A survey of tools for visualizing geo spatial data

Kanapaka, Raja Rathnam Naidu; Neelisetti, Raghu Kisore

doi:10.1109/iccicct.2015.7475242

Cited by 3 publications

(2 citation statements)

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“…Despite the interactive nature of those systems, they still adopt a process-after-query execution approach and lack any form of predictive or progressive execution of queries. In the following, we review some of those systems, and refer readers to a survey [23] for more related work.…”

Section: Background and Related Work 21 Interactive Spatial Systemsmentioning

confidence: 99%

Poet

Paul

Ang

et al. 2020

Proceedings of the 28th International Conference on Advances in Geographic Information Systems

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Interaction-based systems have been widely used in many enterprises like Grab to enable quick and easy analysis of large-scale spatial data. Unlike traditional instruction-based query processing systems, modern interaction-based systems allow users to issue complex queries through simple interactions with a Graphical User Interface (GUI). While such systems have significantly transformed the process of spatial query processing, they still rely on a processafter-query approach for executing the queries. Even though the user is continuously interacting with the GUI, the actual processing is only initiated after the user completes their interactions, thus wasting the opportunities to reduce the response time of query processing. Inside Grab, we develop Poet, a progressive execution framework to continuously analyze user interactions and to perform progressive execution as soon as the system gains reasonable confidence regarding the user intentions. By integrating Poet, the interactionbased system can begin processing before the query is expressed in its whole by the user. The user interactions are captured and modelled in Markov chains, which guide the probability of progressive execution. For handling large-scale trajectory data in Grab, the progressive execution engine of Poet has been designed on top of Apache Flink. Our experiments show that Poet is able to reduce the latency in generating the output, providing a more interactive experience. Our experiments find that Poet helps reduce the query execution latency by up to 25x. CCS CONCEPTS • Information systems → Spatial-temporal systems; • Humancentered computing → Visual analytics.

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Section: Background and Related Work 21 Interactive Spatial Systemsmentioning

confidence: 99%

Poet

Paul

Ang

et al. 2020

Proceedings of the 28th International Conference on Advances in Geographic Information Systems

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“…Other studies approach the combination of different types of GIS tools to display information: ArcGIS and QGIS [25], QGIS and Pmapper [23], QGIS, GRASS and MapServer [24]. An overview of GIS software tools utilized for visualization purposes is presented in [26] and [27], the latter concluding that QGIS is a better choice for data visualization and spatial analysis.…”

Section: Big Data and Data Visualizationmentioning

confidence: 99%

Visualization Techniques for Electrical Grid Smart Metering Data: A Survey

Stefan

Lopez²,

Andreasen³

et al. 2017

2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService)

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One of the considerable initiatives towards creating a smart society could be the guarantee of a smart, resilient and reliable power grid. As an attempt to improve the electricity supply service, it would be meaningful for the distributed system operators (DSOs) to be able to monitor the current status of the grid. The prediction of future possible critical situations would then be feasible using the available information, whereas, based on historical data, further grid expansion and reinforcement may be planned. A proper presentation and visualization of the near-real time metering data may constitute the baseline for bringing improvements to the power grid. This paper presents an approach to build an efficient visualization system so that the extracted smart meters information can be used in a meaningful manner. An overview of the use cases related to the visualization features is first presented, as a motivation for the choice of the relevant state of the art research. In relation to the knowledge provided by the metering data, a definition of the big data concept will be further introduced, according to the requirements established by the project definition. Geographic Information System (GIS) tools are useful to help visualize the collected big data in near-real time. For this reason, a survey of existing GIS software will be made so that the choice of the most suitable tool can be justified. Also, the integration of GIS technologies into the Common Information Model (CIM) aims to improve the visualization efficiency. As a consequence, investigating methods for adapting CIM standards to the GIS platform are also important.

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