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Volumn 3, Issue 4-5, 2008, Pages 273-285

A user-centered design for a spatial data warehouse for data exploration in environmental research

Author keywords

Data exploration; Ecological research; Spatial data warehouse; Spatial OLAP; User centered design

Indexed keywords

BIOASSAY; DATA MANAGEMENT; DATA MINING; ECOLOGICAL APPROACH; SPATIAL ANALYSIS;

EID: 55549120188     PISSN: 15749541     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoinf.2008.08.002     Document Type: Article
Times cited : (34)

References (28)
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    • Toward better support for spatial decision making: defining the characteristics of spatial on-line analytical processing (SOLAP)
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  • 16
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    • SOLAP technology: merging business intelligence with geospatial technology for interactive spatio-temporal exploration and analysis of data
    • Rivest S., Bedard Y., Proulx M., Nadeau M., Hubert F., and Pastor J. SOLAP technology: merging business intelligence with geospatial technology for interactive spatio-temporal exploration and analysis of data. ISPRS Journal of Photogrammetry & Remote Sensing 60 (2005) 17-33
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  • 22
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    • Shekhar, S., Lu, C.T., Liu, R. and Zhou, C. 2002. CubeView: a system for traffic data visualization. accessed from http://citeseer.ist.psu.edu/cache/papers/cs/27216/http://zSzzSzwww-users.cs.umn.eduzSzzCz7EctluzSzPaperTalkFilezSzits02.pdf/shekhar02cubeview.pdf.
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    • Efficient polygon amalgamation methods for spatial OLAP and spatial data mining
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.