NDLI: An Integrated Platform for Spatial Data Mining within a GIS Environment

Content Provider	IEEE Xplore Digital Library
Author	Appice, A. Lanza, A. Malerba, D.
Copyright Year	2007
Description	Author affiliation: Univ. degli Studi di Bari via Orabona, Bari (Appice, A.; Lanza, A.; Malerba, D.)
Abstract	The strength of GIS is in providing a rich data infiastructure for combining disparate data in meaningfid ways by using a spatial arrangement (e.g., proximity). As a toolbox, a GIS allows planners to perform spatial analysis using geo-processing functions such as map overlay, connectivity measurements or thematic map coloring. Although, this makes effective the geographic visualization of individual variables, complex multi-variate dependencies are easily overlooked. The required step to take GIS beyond a tool for automating cartography is to incorporate the ability of analyzing and condensing a large number of geo-referenced variables into a single forecast or score. This is where data mining promises great potential benefits and the reason why there is such a hand-in-glove fit between GIS and data mining. Following the mainstream of this research, we propose to integrate GIS and data mining fitnctionality in a closely coupled open and extensible GIS architecture. This is done by resorting to emerging spatial data mining technology that deals with the substantial complexity added from the spatial dimension. We illustrate an example of topographic map interpretation where resorting to data mining facilities to discover both operational definitions of morphologies characterizing the landscape (i.e., spatial classification rules) and frequent spatial interactions of two or more spatially-referred objects (i.e.. spatial association rules). In both cases, discovered patterns correspond to what geographers, geologists and town planners are interested in while interpreting a map, although they are never explicitly represented in topographic maps or in a GIS-model.
Starting Page	507
Ending Page	516
File Size	463732
Page Count	10
File Format	PDF
ISBN	9781424408313
DOI	10.1109/ICDEW.2007.4401036
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-17
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Geographic Information Systems Object oriented modeling Data visualization Morphology Computer architecture Spatial databases Performance analysis Data mining Association rules
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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