An XML-based range variation approach to render the coldness in Iowa, a North Central region, United States

Sharma, Shweta; Gadia, Shashi K.

doi:10.1109/icime.2010.5477933

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…A colder county is rendered using the darker shade of blue color. This work is further extended by Sharma et al in [9] where the strength of XML in spatio-temporal databases as configurable input is explored. An xml configuration file is employed as input in the visualization of coldness and the number of shapes to be rendered is controlled from there.…”

Section: Literature Reviewmentioning

confidence: 92%

Parametric database approach integration for handling temporal data in GIS

Sharma

Gadia

Sunday

2013

Geo-spatial Information Science

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In large spatial, temporal, and spatio-temporal databases, the concept of dimensions -time and space -is central and their efficient processing has always been a great concern. A Geographic Information System (GIS) is widely known for its efficient and sophisticated handling of the spatial databases; however, integration of the time domain introduces additional complexities. Considerable research is ongoing in this area. Though numerous approaches have already been proposed in the literature to address the time-related challenges in GIS community, such as the development of temporal GIS data models, this study contributes to these ongoing efforts through extensions to the Parametric Data Model. Parametric database approaches (Parametric Data Model) have been developed to handle dimensional data such as space, time, belief, etc. In this study, the time dimension is of specific interest and we propose the integration of parametric approaches to GIS to absorb the temporal burden. The temporal processing of the data is done using parametric approaches that address the limitation of GIS to support temporal queries and temporal analysis of phenomena. Using the AutoConViz tool, developed for spatio-temporal data modeling and visualization, results can be directly integrated into standard GIS software programs such as ArcGIS and further processed seamlessly along with and in a similar manner to other attributes.

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Section: Literature Reviewmentioning

confidence: 92%

Parametric database approach integration for handling temporal data in GIS

Sharma

Gadia

Sunday

2013

Geo-spatial Information Science

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“…It is well known fact that XML is powerful to provide configuration. In [18] the potential of XML in spatiotemporal data has been explored one again at configuration level. By varying the values of range in XML configuration file, the shades of color on map can vary distinctly which is useful to the people with defected eyesight.…”

Section: Related Workmentioning

confidence: 99%

Perl Status Reporter (SRr) on Spatio-temporal Data Mining

Sharma¹,

Gadia²

2010

IJCSES

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Perl Status Reporter (SRr) [1] is a data mining tool and in this research work we illustrate the use of SRr on spatio-temporal database. Spatio-temporal data are associated with time and space and used vastly in different applications of diversified areas such as geography, geology, city planning, agriculture, environmental study, traffic navigation, aerospace industries, and so on. We exploit spatio-temporal data which is composed of road traffic data of metro cities of United States of America. The traffic data file consists of traffic information, based on spatial location and time, in metro cities and we want to extract the piece of information from that huge file which is of our interest. SRr needs a flat data input file to perform the data extraction process. SRr reads input file and derives the desired information from it. The input file has two parameters of interest (firstKey and secondKey). The association of these two parameters describes the uniqueness of entries in that file and works as composite key similar to that in traditional databases. Based on the parameter of interest SRr generates an output file, named as firstKey_secondKey. SRr subsequently reads the input file line by line and extracts the data of interest and stores all the tuples having the same composite key, into that output file generated by SRr.

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“…Colder counties are rendered using a darker shade of blue. This work is extended by Sharma et al (13), where the potential of XML as configurable input is harnessed. An XML configuration file is employed as input in the visualization of coldness and the number of shades to be rendered is controlled from there.…”

Section: Literature Reviewmentioning

confidence: 99%

AutoConViz: automating the conversion and visualization of spatio-temporal query results in GIS

Sharma

Tim

Gadia

2012

Geo-spatial Information Science

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In recent years, large multifaceted spatial, temporal, and spatio-temporal databases have attained significant popularity and importance in the database community. In order to perform preliminary investigation, exploratory visual analysis of such data-sets is highly desirable. To facilitate the convenient and efficient visualization, scientists and practitioners often need to convert the spatial component of the data-set into a more usable format. Though among the various formats available today in spatial data science community, Geographical Markup Language (GML) adheres to its central position and is of our interest in this work. The development of a tool to satisfy the spatial format conversion needs tailored to every user's needs from scratch is difficult, time-consuming, and requires skills not easy to possess. We developed AutoConViz, to solve the issue stated above. It accepts the spatial component in GML format, converts that into shapefile format, and facilitates informative and automated interaction with the data-sets. It supports basic query and geospatial analysis and visualization tasks and offers functionalities such as zooming, panning, and feature selection. Furthermore, our software leverages navigation to classical ArcGIS software interface for users interested in more intensive analysis. AutoConViz serves both the database and geographical information system communities to explore insights of spatiotemporal databases and will help to further geospatial research and development.

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An XML-based range variation approach to render the coldness in Iowa, a North Central region, United States

Cited by 5 publications

References 8 publications

Parametric database approach integration for handling temporal data in GIS

Parametric database approach integration for handling temporal data in GIS

Perl Status Reporter (SRr) on Spatio-temporal Data Mining

AutoConViz: automating the conversion and visualization of spatio-temporal query results in GIS

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