NDLI: Identifying specific spatial tasks through clustering and geovisual analysis

Content Provider	IEEE Xplore Digital Library
Author	Tahir, A. McArdle, G. Bertolotto, M.
Copyright Year	2012
Description	Author affiliation: School of Computer Science and Informatics, University College Dublin, 4, Ireland (Tahir, A.; Bertolotto, M.) \|\| National Centre for Geocomputation, National University of Ireland Maynooth, Co. Kildare, Ireland (McArdle, G.)
Abstract	As people's mobility has increased so too has the use of web maps and other geo-technologies for navigational purposes. Daily usage of these technologies, either embedded in smart phones or through advanced Web GIS, involves carrying out specific spatial tasks. Such spatial tasks can be of various types, context and also consider the physical environment in which the task is being performed. By capturing and analyzing users map interactions, common behavior along with interests and dislikes can be identified and used as a basis on which to study map personalization and adaptation. Completing a spatial tasks essentially corresponds to a mouse trajectory represented as a series of mouse cursor positions on a web map. The challenge is to extract meaning from this spatio-temporal dataset. With the synergy of exploratory visualization and data-mining techniques, we present a novel approach to automatically identify and validate a number of spatial tasks forming complex mouse trajectories within a given study area. The task validation justifies trajectory clustering techniques as well as assisting in attaching semantics to the visual interpretation. This research opens further avenues for studying map personalization.
Starting Page	1
Ending Page	6
File Size	2723240
Page Count	6
File Format	PDF
ISBN	9781467311038
ISSN	2161024X
e-ISBN	9781467311045
DOI	10.1109/Geoinformatics.2012.6270301
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spatial tasks User profiles Spatial clustering Mouse trajectories OPTICS clustering Web GIS
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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