메뉴 건너뛰기




Volumn 4, Issue 3, 2010, Pages 200-221

A framework for using self-organising maps to analyse spatiotemporal patterns, exemplified by analysis of mobile phone usage

Author keywords

Geovisualisation; Spatio temporal data; Visual cluster analysis

Indexed keywords

ATTRIBUTE VALUES; DATA ANALYSIS; DATA FEATURE; GEOVISUALISATION; INTERACTION TECHNIQUES; MOBILE PHONE USAGES; PHONE CALLS; PREDICTIVE MODELS; REAL-WORLD; SELF-ORGANISING MAPS; SPATIAL DISTRIBUTION; SPATIO-TEMPORAL DATA; SPATIO-TEMPORAL VARIATION; SPATIOTEMPORAL PATTERNS; TEMPORAL SEQUENCES; TEMPORAL VARIATION; VISUAL ANALYTICS; VISUAL CLUSTER ANALYSIS; VISUALISATION;

EID: 78650226883     PISSN: 17489725     EISSN: 17489733     Source Type: Journal    
DOI: 10.1080/17489725.2010.532816     Document Type: Article
Times cited : (29)

References (34)
  • 3
    • 77953859972 scopus 로고    scopus 로고
    • A general framework for using aggregation in visual exploration of movement data
    • Andrienko, G. and Andrienko, N., 2010. A general framework for using aggregation in visual exploration of movement data. The Cartographic Journal, 47 (1), 22-40.
    • (2010) The Cartographic Journal , vol.47 , Issue.1 , pp. 22-40
    • Andrienko, G.1    Andrienko, N.2
  • 5
    • 77955752962 scopus 로고    scopus 로고
    • Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns
    • Andrienko, G., et al., 2010. Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns. Computer Graphics Forum, 29 (3), 913-922.
    • (2010) Computer Graphics Forum , vol.29 , Issue.3 , pp. 913-922
    • Andrienko, G.1
  • 6
    • 12344271105 scopus 로고    scopus 로고
    • The self-organizing map, the Geo-SOM, and relevant variants for geosciences
    • Geospatial Research in Europe: AGILE 2003
    • Bação, F., Lobo, V., and Painho, M., 2003. The self-organizing map, the Geo-SOM, and relevant variants for geosciences. Computers and Geosciences, 31 (2), 155-163, 2005. Geospatial Research in Europe: AGILE 2003.
    • (2003) Computers and Geosciences , vol.31 , Issue.2 , pp. 155-163
    • Bação, F.1    Lobo, V.2    Painho, M.3
  • 7
    • 70350701834 scopus 로고    scopus 로고
    • Applications of different self-organizing map variants to geographical information science problems
    • In: P. Agarwal and A. Skupin, eds., Chichester: Wiley
    • Bação, F., Lobo, V., and Painho, M., 2008. Applications of different self-organizing map variants to geographical information science problems. In: P. Agarwal and A. Skupin, eds. Self-organising maps: applications in geographic information science. Chichester: Wiley, 21-44.
    • (2008) Self-organising Maps: Applications in Geographic Information Science , pp. 21-44
    • Bação, F.1    Lobo, V.2    Painho, M.3
  • 8
    • 51749104869 scopus 로고    scopus 로고
    • Improved image retrieval using automatic image sorting and semiautomatic generation of image semantics
    • 7-9 May, Klagenfurt, Austria: IEEE
    • Barthel, K.U., 2008. Improved image retrieval using automatic image sorting and semiautomatic generation of image semantics. In: Proceedings of the international workshop on image analysis for multimedia interactive services, 7-9 May 2008, Klagenfurt, Austria: IEEE, 227-230.
    • (2008) Proceedings of the International Workshop on Image Analysis for Multimedia Interactive Services , pp. 227-230
    • Barthel, K.U.1
  • 12
    • 77949652043 scopus 로고    scopus 로고
    • Robust forecasting with exponential and Holt- Winters smoothing
    • Gelper, S., Fried, R., and Croux, C., 2010. Robust forecasting with exponential and Holt- Winters smoothing. Journal of Forecasting, 29 (3), 285-300.
    • (2010) Journal of Forecasting , vol.29 , Issue.3 , pp. 285-300
    • Gelper, S.1    Fried, R.2    Croux, C.3
  • 13
    • 19944422137 scopus 로고    scopus 로고
    • Multivariate analysis and geovisualization with an integrated geographic knowledge discovery approach
    • Guo, D., et al., 2005. Multivariate analysis and geovisualization with an integrated geographic knowledge discovery approach. Cartography and Geographic Information Science, 32 (2), 113-132.
    • (2005) Cartography and Geographic Information Science , vol.32 , Issue.2 , pp. 113-132
    • Guo, D.1
  • 14
    • 33749527341 scopus 로고    scopus 로고
    • A visualization system for space-time and multivariate patterns (VISSTAMP)
    • Guo, D., et al., 2006. A visualization system for space-time and multivariate patterns (VISSTAMP). IEEE Transactions on Visualization and Computer Graphics, 12 (6), 1461-1474.
    • (2006) IEEE Transactions on Visualization and Computer Graphics , vol.12 , Issue.6 , pp. 1461-1474
    • Guo, D.1
  • 15
    • 0041813144 scopus 로고    scopus 로고
    • Colorbrewer.org: An online tool for selecting colour schemes for maps
    • Harrower, M. and Brewer, C.A., 2003. Colorbrewer.org: an online tool for selecting colour schemes for maps. The Cartographic Journal, 40 (1), 27-37.
    • (2003) The Cartographic Journal , vol.40 , Issue.1 , pp. 27-37
    • Harrower, M.1    Brewer, C.A.2
  • 16
    • 77955754129 scopus 로고    scopus 로고
    • Climate analysis, modelling, and regional downscaling using selforganizing maps
    • P. Agarwal and A. Skupin, eds., Chichester: Wiley
    • Hewitson, B.C., 2008. Climate analysis, modelling, and regional downscaling using selforganizing maps. In: P. Agarwal and A. Skupin, eds. Self-organising maps: applications in geographic information science. Chichester: Wiley, 137-163.
    • (2008) Self-organising Maps: Applications in Geographic Information Science , pp. 137-163
    • Hewitson, B.C.1
  • 20
    • 78650192969 scopus 로고    scopus 로고
    • [online]. Available from:, [Accessed 23 July 2010]
    • Kohonen, T., 2010. SOM toolbox: intro to SOM by Teuvo Kohonen [online]. Available from: http://www.cis.hut.fi/somtoolbox/theory/somalgorithm.shtml [Accessed 23 July 2010].
    • (2010) SOM Toolbox: Intro to SOM by Teuvo Kohonen
    • Kohonen, T.1
  • 21
    • 0003410794 scopus 로고    scopus 로고
    • Helsinki University of Technology, Faculty of Information Technology, Laboratory of Computer and Information Science, Report A31 Otaniemi
    • Kohonen, T., Hynninen, J., Kangas, J., and Laaksonen, J., 1996. SOM_PAK: the selforganizing map program package, Helsinki University of Technology, Faculty of Information Technology, Laboratory of Computer and Information Science, Report A31 Otaniemi.
    • (1996) SOM_PAK: The Selforganizing Map Program Package
    • Kohonen, T.1    Hynninen, J.2    Kangas, J.3    Laaksonen, J.4
  • 22
    • 84889478316 scopus 로고    scopus 로고
    • An integrated exploratory geovisualization environment based on self-organizing map
    • P. Agarwal and A. Skupin, eds., Chichester: Wiley
    • Koua, E. and Kraak, M.-J., 2008. An integrated exploratory geovisualization environment based on self-organizing map. In: P. Agarwal and A. Skupin, eds. Self-organising maps: applications in geographic information science. Chichester: Wiley, 45-66.
    • (2008) Self-organising Maps: Applications in Geographic Information Science , pp. 45-66
    • Koua, E.1    Kraak, M.-J.2
  • 23
    • 85041154196 scopus 로고
    • How maps work: Representation, visualization
    • New York: Guilford
    • MacEachren, A.M., 1995. How maps work: representation, visualization, and design. New York: Guilford.
    • (1995) And Design
    • MacEachren, A.M.1
  • 24
    • 33745720670 scopus 로고    scopus 로고
    • NIST/SEMATECH, [online]. Available from, [Accessed 27 July 2010]
    • NIST/SEMATECH, 2010. NIST/SEMATECH e-handbook of statistical methods [online]. Available from: http://www.itl.nist.gov/div898/handbook/ [Accessed 27 July 2010].
    • (2010) NIST/SEMATECH E-handbook of Statistical Methods
  • 25
    • 33746260071 scopus 로고    scopus 로고
    • Externally growing self-organizing map and its application to e-mail database visualization and exploration
    • Nuernberger, A. and Detyniecki, M., 2006. Externally growing self-organizing map and its application to e-mail database visualization and exploration. Applied Soft Computing, 6 (4), 357-371.
    • (2006) Applied Soft Computing , vol.6 , Issue.4 , pp. 357-371
    • Nuernberger, A.1    Detyniecki, M.2
  • 27
    • 84887006810 scopus 로고
    • A nonlinear mapping for data structure analysis
    • Sammon, J.W., 1969. A nonlinear mapping for data structure analysis. IEEE Transactions on Computers, 18, 401-409.
    • (1969) IEEE Transactions on Computers , vol.18 , pp. 401-409
    • Sammon, J.W.1
  • 28
    • 65249188734 scopus 로고    scopus 로고
    • Visual cluster analysis of trajectory data with interactive Kohonen maps
    • Schreck, T., et al., 2009. Visual cluster analysis of trajectory data with interactive Kohonen maps. Information Visualization, 8 (1), 14-29.
    • (2009) Information Visualization , vol.8 , Issue.1 , pp. 14-29
    • Schreck, T.1
  • 29
    • 77955739103 scopus 로고    scopus 로고
    • Visualizing human movement in attribute space
    • In: P. Agarwal and A. Skupin, eds., Chichester: Wiley
    • Skupin, A., 2008. Visualizing human movement in attribute space. In: P. Agarwal and A. Skupin, eds. Self-organising maps: applications in geographic information science. Chichester: Wiley, 121-135.
    • (2008) Self-organising Maps: Applications in Geographic Information Science , pp. 121-135
    • Skupin, A.1
  • 32
    • 0001931484 scopus 로고    scopus 로고
    • Data mining and knowledge discovery with emergent self-organizing feature maps for multivariate time series
    • E. Oja and S. Kaski, eds. Amsterdam: Elsevier
    • Ultsch, A., 1999. Data mining and knowledge discovery with emergent self-organizing feature maps for multivariate time series. In: E. Oja and S. Kaski, eds. Kohonen maps. Amsterdam: Elsevier, 33-46.
    • (1999) Kohonen Maps , pp. 33-46
    • Ultsch, A.1
  • 33
    • 38049168357 scopus 로고    scopus 로고
    • SOM-based data visualization methods
    • Vesanto, J., 1999. SOM-based data visualization methods. Intelligent Data Analysis, 3 (2), 111-126.
    • (1999) Intelligent Data Analysis , vol.3 , Issue.2 , pp. 111-126
    • Vesanto, J.1
  • 34
    • 84877724789 scopus 로고    scopus 로고
    • Visual exploration of spatial interaction data with selforganizing maps
    • P. Agarwal and A. Skupin, eds., Chichester: Wiley
    • Yan, J. and Thill, J.-C., 2008. Visual exploration of spatial interaction data with selforganizing maps. In: P. Agarwal and A. Skupin, eds. Self-organising maps: applications in geographic information science. Chichester: Wiley, 67-88.
    • (2008) Self-organising Maps: Applications in Geographic Information Science , pp. 67-88
    • Yan, J.1    Thill, J.-C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.