메뉴 건너뛰기




Volumn 36, Issue 3, 2012, Pages 218-232

Exploratory geospatial data analysis using the GeoSOM suite

Author keywords

Geographic knowledge discovery; GeoSOM; Self Organizing Maps; Spatial clustering

Indexed keywords

CENSUS DATA; CLUSTER-BASED; EMERGING PATTERNS; EXPLORATORY DATA ANALYSIS; GEO-SPATIAL DATA; GEOGRAPHIC DATA; GEOGRAPHIC INFORMATION; GEOGRAPHIC INFORMATION SCIENCE; GEOSOM; PREDICTIVE MODELS; SPATIAL CLUSTERING; SPATIAL PATTERNS; USER INTERACTION;

EID: 84858800256     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2011.11.003     Document Type: Article
Times cited : (35)

References (58)
  • 4
    • 0347587096 scopus 로고
    • Local indicators of spatial association - LISA
    • Geographic information systems data (GISDATA) specialist meeting on geographic information systems (GIS) and spatial analysis. Amsterdam, Netherlands: Ohio State Univ Press
    • Anselin, L. (1993). Local indicators of spatial association - LISA. Geographic information systems data (GISDATA) specialist meeting on geographic information systems (GIS) and spatial analysis. Amsterdam, Netherlands: Ohio State Univ Press.
    • (1993)
    • Anselin, L.1
  • 5
    • 33645929706 scopus 로고    scopus 로고
    • GeoDa: An introduction to spatial data analysis
    • Anselin L., Syabri I., Kho Y. GeoDa: An introduction to spatial data analysis. Geographical Analysis 2006, 38(1):5-22.
    • (2006) Geographical Analysis , vol.38 , Issue.1 , pp. 5-22
    • Anselin, L.1    Syabri, I.2    Kho, Y.3
  • 6
    • 35348873693 scopus 로고    scopus 로고
    • Multicomponent image segmentation using a genetic algorithm and artificial neural network
    • Awad M., Chehdi K., Nasri A. Multicomponent image segmentation using a genetic algorithm and artificial neural network. Geoscience and Remote Sensing Letters, IEEE 2007, 4(4):571-575.
    • (2007) Geoscience and Remote Sensing Letters, IEEE , vol.4 , Issue.4 , pp. 571-575
    • Awad, M.1    Chehdi, K.2    Nasri, A.3
  • 7
    • 84858799614 scopus 로고    scopus 로고
    • Delineation of estuarine management units: Evaluation of an automatic procedure
    • Springer-Verlag, Netherlands, P. Renard, H. Demougeot-Renard, R. Froidevaux (Eds.)
    • Bação F., Caeiro S., Painho M., Goovaerts P., Costa M. Delineation of estuarine management units: Evaluation of an automatic procedure. Geostatistics for environmental applications 2005, 429-441. Springer-Verlag, Netherlands. P. Renard, H. Demougeot-Renard, R. Froidevaux (Eds.).
    • (2005) Geostatistics for environmental applications , pp. 429-441
    • Bação, F.1    Caeiro, S.2    Painho, M.3    Goovaerts, P.4    Costa, M.5
  • 8
    • 35048902358 scopus 로고    scopus 로고
    • Geo-self-organizing map (Geo-SOM) for building and exploring homogeneous regions
    • Bação F., Lobo V., Painho M. Geo-self-organizing map (Geo-SOM) for building and exploring homogeneous regions. Geographic Information Science, Proceedings 2004, 3234:22-37.
    • (2004) Geographic Information Science, Proceedings , vol.3234 , pp. 22-37
    • Bação, F.1    Lobo, V.2    Painho, M.3
  • 9
    • 17244379243 scopus 로고    scopus 로고
    • Applying genetic algorithms to zone design
    • Bação F., Lobo V., Painho M. Applying genetic algorithms to zone design. Soft Computing 2005, 9:341-348.
    • (2005) Soft Computing , vol.9 , pp. 341-348
    • Bação, F.1    Lobo, V.2    Painho, M.3
  • 10
    • 12344271105 scopus 로고    scopus 로고
    • The self-organizing map, the Geo-SOM and relevant variants for geosciences
    • Bação F., Lobo V., Painho M. The self-organizing map, the Geo-SOM and relevant variants for geosciences. Computers and Geosciences 2005, 31:155-163.
    • (2005) Computers and Geosciences , vol.31 , pp. 155-163
    • Bação, F.1    Lobo, V.2    Painho, M.3
  • 11
    • 25144465421 scopus 로고    scopus 로고
    • Self-organizing maps as substitutes for K-means clustering
    • Springer-Verlag, Berlin Heidelberg
    • Bação F., Lobo V., Painho M. Self-organizing maps as substitutes for K-means clustering. Lecture notes in computer science 2005, Vol. 3516:476-483. Springer-Verlag, Berlin Heidelberg.
    • (2005) Lecture notes in computer science , vol.3516 , pp. 476-483
    • Bação, F.1    Lobo, V.2    Painho, M.3
  • 13
    • 84879576174 scopus 로고    scopus 로고
    • Urban data mining using emergent SOM
    • Springer, Berlin, Heidelberg, H. Burkhardt, L. Schmidt-Thieme, R. Decker, C. Preisach (Eds.)
    • Behnisch M., Ultsch A. Urban data mining using emergent SOM. Data analysis, machine learning and applications 2008, 311-318. Springer, Berlin, Heidelberg. H. Burkhardt, L. Schmidt-Thieme, R. Decker, C. Preisach (Eds.).
    • (2008) Data analysis, machine learning and applications , pp. 311-318
    • Behnisch, M.1    Ultsch, A.2
  • 14
    • 20444461187 scopus 로고    scopus 로고
    • Using self-organizing maps to investigate spatial patterns of non-native species
    • Céréghino R., Santoul F., Compin A., Mastrorillo S. Using self-organizing maps to investigate spatial patterns of non-native species. Biological Conservation 2005, 125(4):459-465.
    • (2005) Biological Conservation , vol.125 , Issue.4 , pp. 459-465
    • Céréghino, R.1    Santoul, F.2    Compin, A.3    Mastrorillo, S.4
  • 15
    • 16844372588 scopus 로고    scopus 로고
    • Zone design for environment and health studies using pre-aggregated data
    • Cockings S., Martin D. Zone design for environment and health studies using pre-aggregated data. Social Science & Medicine 2005, 60(12):2729-2742.
    • (2005) Social Science & Medicine , vol.60 , Issue.12 , pp. 2729-2742
    • Cockings, S.1    Martin, D.2
  • 16
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher R.A. The use of multiple measurements in taxonomic problems. Annals of Eugenics 1936, VII(II):179-188.
    • (1936) Annals of Eugenics , vol.7 , Issue.II , pp. 179-188
    • Fisher, R.A.1
  • 17
    • 9944247638 scopus 로고    scopus 로고
    • Evaluating soil color with farmer input and apparent soil electrical conductivity for management zone delineation
    • Fleming K.L., Heermann D.F., Westfall D.G. Evaluating soil color with farmer input and apparent soil electrical conductivity for management zone delineation. Agronomy Journal 2004, 96(6):1581-1587.
    • (2004) Agronomy Journal , vol.96 , Issue.6 , pp. 1581-1587
    • Fleming, K.L.1    Heermann, D.F.2    Westfall, D.G.3
  • 18
    • 53949108563 scopus 로고    scopus 로고
    • Geographic information science: The grand challenges
    • Blackwell, Malden, MA, J.P. Wilson, A.S. Fotheringham (Eds.)
    • Goodchild M.F. Geographic information science: The grand challenges. The handbook of geographic information science 2008, 596-608. Blackwell, Malden, MA. J.P. Wilson, A.S. Fotheringham (Eds.).
    • (2008) The handbook of geographic information science , pp. 596-608
    • Goodchild, M.F.1
  • 19
    • 0032091595 scopus 로고    scopus 로고
    • CURE: An efficient clustering algorithm for large databases
    • In Proceedings of the 1998 ACM SIGMOD international conference on management of data. Seattle, Washington, United States, ACM
    • Guha, S., Rastogi, R., Shim, K. (1998). CURE: An efficient clustering algorithm for large databases. In Proceedings of the 1998 ACM SIGMOD international conference on management of data. Seattle, Washington, United States, ACM.
    • (1998)
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 20
    • 34347204574 scopus 로고    scopus 로고
    • Spatial ordering and encoding for geographic data mining and visualization
    • Guo D., Gahegan M. Spatial ordering and encoding for geographic data mining and visualization. Journal of Intelligent Information Systems 2006, 27(3):243-266.
    • (2006) Journal of Intelligent Information Systems , vol.27 , Issue.3 , pp. 243-266
    • Guo, D.1    Gahegan, M.2
  • 21
    • 0141794290 scopus 로고    scopus 로고
    • ICEAGE: Interactive clustering and exploration of large and high-dimensional geodata
    • Guo D., Peuquet D.J., Gahegan M. ICEAGE: Interactive clustering and exploration of large and high-dimensional geodata. GeoInformatica 2003, 7(3):229-253.
    • (2003) GeoInformatica , vol.7 , Issue.3 , pp. 229-253
    • Guo, D.1    Peuquet, D.J.2    Gahegan, M.3
  • 24
    • 0010415411 scopus 로고    scopus 로고
    • Spatial clustering methods in data mining: A survey
    • Taylor and Francis, London, H.J. Miller, J. Han (Eds.)
    • Han J., Kamber M., Tung A.K.H. Spatial clustering methods in data mining: A survey. Geographic data mining and knowledge discovery 2001, 188-217. Taylor and Francis, London. H.J. Miller, J. Han (Eds.).
    • (2001) Geographic data mining and knowledge discovery , pp. 188-217
    • Han, J.1    Kamber, M.2    Tung, A.K.H.3
  • 25
    • 0031168386 scopus 로고    scopus 로고
    • GeoMiner: A system prototype for spatial data mining
    • Han J., Koperski K., Stefanovic N. GeoMiner: A system prototype for spatial data mining. SIGMOD Record 1997, 26(2):553-556.
    • (1997) SIGMOD Record , vol.26 , Issue.2 , pp. 553-556
    • Han, J.1    Koperski, K.2    Stefanovic, N.3
  • 26
    • 27844452957 scopus 로고    scopus 로고
    • Clustering spatial data with a hybrid EM approach
    • Hu T., Sung S. Clustering spatial data with a hybrid EM approach. Pattern Analysis & Applications 2005, 8(1):139-148.
    • (2005) Pattern Analysis & Applications , vol.8 , Issue.1 , pp. 139-148
    • Hu, T.1    Sung, S.2
  • 27
    • 28444464348 scopus 로고
    • The plane with parallel coordinates
    • Inselberg A. The plane with parallel coordinates. The Visual Computer 1985, 1(2):69-91.
    • (1985) The Visual Computer , vol.1 , Issue.2 , pp. 69-91
    • Inselberg, A.1
  • 30
    • 0020068152 scopus 로고
    • Self-organizing formation of topologically correct feature maps
    • Kohonen T. Self-organizing formation of topologically correct feature maps. RecMap: Rectangular Map Approximations 1982, 43(1):59-69.
    • (1982) RecMap: Rectangular Map Approximations , vol.43 , Issue.1 , pp. 59-69
    • Kohonen, T.1
  • 32
    • 3042583132 scopus 로고    scopus 로고
    • Geovisualization to support the exploration of large health and demographic survey data
    • Koua E., Kraak M.-J. Geovisualization to support the exploration of large health and demographic survey data. International Journal of Health Geographics 2004, 3(1):12.
    • (2004) International Journal of Health Geographics , vol.3 , Issue.1 , pp. 12
    • Koua, E.1    Kraak, M.-J.2
  • 33
    • 77952344620 scopus 로고    scopus 로고
    • GeoSOM repository: SquareVille dataset, 2009
    • Retrieved 17.07.09
    • Lobo, V., Bação, F., Henriques, R. (2009). GeoSOM repository: SquareVille dataset, 2009. Retrieved 17.07.09. http://www.isegi.unl.pt/labnt/geosom/georepository/.
    • (2009)
    • Lobo, V.1    Bação, F.2    Henriques, R.3
  • 34
    • 0033374040 scopus 로고    scopus 로고
    • Constructing knowledge from multivariate spatiotemporal data: Integrating geographical visualization with knowledge discovery in database methods
    • Maceachren A.M., Wachowicz M., Edsall R., Haug D., Masters R. Constructing knowledge from multivariate spatiotemporal data: Integrating geographical visualization with knowledge discovery in database methods. International Journal of Geographical Information Science 1999, 13(4):311-334.
    • (1999) International Journal of Geographical Information Science , vol.13 , Issue.4 , pp. 311-334
    • Maceachren, A.M.1    Wachowicz, M.2    Edsall, R.3    Haug, D.4    Masters, R.5
  • 35
    • 0032030080 scopus 로고    scopus 로고
    • An evaluation of LAndsat TM spectral data and SAR-derived textural information for lithological discrimination in the Red Sea Hills, Sudan
    • Mather P.M., Tso B., Koch M. An evaluation of LAndsat TM spectral data and SAR-derived textural information for lithological discrimination in the Red Sea Hills, Sudan. International Journal of Remote Sensing 1998, 19(4):587-604.
    • (1998) International Journal of Remote Sensing , vol.19 , Issue.4 , pp. 587-604
    • Mather, P.M.1    Tso, B.2    Koch, M.3
  • 36
    • 34249070931 scopus 로고    scopus 로고
    • Explicit magnification control of self-organizing maps for "Forbidden" data
    • Merenyi E., Jain A., Villmann T. Explicit magnification control of self-organizing maps for "Forbidden" data. IEEE Transactions on Neural Networks 2007, 8(3):786-797.
    • (2007) IEEE Transactions on Neural Networks , vol.8 , Issue.3 , pp. 786-797
    • Merenyi, E.1    Jain, A.2    Villmann, T.3
  • 38
    • 55349093546 scopus 로고    scopus 로고
    • A scale-space clustering method: Mitigating the effect of scale in the analysis of zone-based data
    • Mu L., Wang F. A scale-space clustering method: Mitigating the effect of scale in the analysis of zone-based data. Annals of the Association of American Geographers 2008, 98(1):85-101.
    • (2008) Annals of the Association of American Geographers , vol.98 , Issue.1 , pp. 85-101
    • Mu, L.1    Wang, F.2
  • 39
    • 0036709106 scopus 로고    scopus 로고
    • CLARANS: A method for clustering objects for spatial data mining
    • Ng R.T., Jiawei H. CLARANS: A method for clustering objects for spatial data mining. Knowledge and Data Engineering, IEEE Transactions 2002, 14(5):1003-1016.
    • (2002) Knowledge and Data Engineering, IEEE Transactions , vol.14 , Issue.5 , pp. 1003-1016
    • Ng, R.T.1    Jiawei, H.2
  • 40
    • 0001147311 scopus 로고
    • A geographical solution to scale and aggregation problems in region-building, partitioning and spatial modelling
    • Openshaw S. A geographical solution to scale and aggregation problems in region-building, partitioning and spatial modelling. Transactions of the Institute of British Geographers 1977, 2(4):459-472.
    • (1977) Transactions of the Institute of British Geographers , vol.2 , Issue.4 , pp. 459-472
    • Openshaw, S.1
  • 42
    • 0000560762 scopus 로고
    • Classifying and regionalizing census data
    • GeoInformation International, S. Openshaw, Cambrige, UK
    • Openshaw S., Wymer C. Classifying and regionalizing census data. Census users handbook 1995, GeoInformation International, S. Openshaw, Cambrige, UK, pp. 239-268.
    • (1995) Census users handbook , pp. 239-268
    • Openshaw, S.1    Wymer, C.2
  • 44
    • 22044455069 scopus 로고    scopus 로고
    • Density-based clustering in spatial databases: The algorithm GDBSCAN and its applications
    • Sander J., Ester M., Kriegel H.-P., Xu X. Density-based clustering in spatial databases: The algorithm GDBSCAN and its applications. Data Mining and Knowledge Discovery 1998, 2(2):169-194.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 169-194
    • Sander, J.1    Ester, M.2    Kriegel, H.-P.3    Xu, X.4
  • 45
  • 46
    • 0003052357 scopus 로고    scopus 로고
    • WaveCluster: A multi-resolution clustering approach for very large spatial databases
    • In Proceedings of the 24rd international conference on very large data bases. Morgan: Kaufmann Publishers Inc
    • Sheikholeslami, G., Chatterjee, S., Zhang, A., (1998). WaveCluster: A multi-resolution clustering approach for very large spatial databases. In Proceedings of the 24rd international conference on very large data bases. Morgan: Kaufmann Publishers Inc.
    • (1998)
    • Sheikholeslami, G.1    Chatterjee, S.2    Zhang, A.3
  • 48
    • 39449096938 scopus 로고    scopus 로고
    • Social area analysis, data mining, and GIS. Computers
    • Spielman S.E., Thill J.-C. Social area analysis, data mining, and GIS. Computers. Environment and Urban Systems 2008, 32(2):110-122.
    • (2008) Environment and Urban Systems , vol.32 , Issue.2 , pp. 110-122
    • Spielman, S.E.1    Thill, J.-C.2
  • 49
    • 28344436189 scopus 로고    scopus 로고
    • Tobler's first law of geography: A big idea for a small world?
    • Sui D.Z. Tobler's first law of geography: A big idea for a small world?. Annals of the Association of American Geographers 2004, 94(2):269-277.
    • (2004) Annals of the Association of American Geographers , vol.94 , Issue.2 , pp. 269-277
    • Sui, D.Z.1
  • 50
    • 0036883693 scopus 로고    scopus 로고
    • GeoVISTA studio: A codeless visual programming environment for geoscientific data analysis and visualization
    • Takatsuka M., Gahegan M. GeoVISTA studio: A codeless visual programming environment for geoscientific data analysis and visualization. Computers & Geosciences 2002, 28(10):1131-1144.
    • (2002) Computers & Geosciences , vol.28 , Issue.10 , pp. 1131-1144
    • Takatsuka, M.1    Gahegan, M.2
  • 51
    • 59249098510 scopus 로고    scopus 로고
    • Detecting geographic associations in English dialect features in North America within a visual data mining environment integrating self-organizing maps
    • In P. Agarwal, A. Skupin (Eds.), Self-organising maps: applications in geographic information science
    • Thill, J.-C., W.A. Kretzschmar Jr., I. Casas, X. Yao, 2008. Detecting geographic associations in English dialect features in North America within a visual data mining environment integrating self-organizing maps. In P. Agarwal, A. Skupin (Eds.), Self-organising maps: applications in geographic information science. pp. 87-106.
    • (2008) , pp. 87-106
    • Thill, J.-C.1    Kretzschmar Jr., W.A.2    Casas, I.3    Yao, X.4
  • 52
    • 0000565591 scopus 로고
    • A computer movie simulating urban growth in the detroit region
    • Tobler W.R. A computer movie simulating urban growth in the detroit region. Economic Geography 1970, 46:234-240.
    • (1970) Economic Geography , vol.46 , pp. 234-240
    • Tobler, W.R.1
  • 54
    • 78649360683 scopus 로고    scopus 로고
    • Clustering with SOM: U*C. WSOM 2005, Paris
    • Ultsch, A. (2005). Clustering with SOM: U*C. WSOM 2005, Paris.
    • (2005)
    • Ultsch, A.1
  • 55
    • 0002432308 scopus 로고
    • Kohoneńs self-organizing neural networks for exploratory data analysis
    • In Proceedings of the international neural network conference, Paris, Kluwer
    • Ultsch, A., Siemon, H.P. (1990). Kohoneńs self-organizing neural networks for exploratory data analysis. In Proceedings of the international neural network conference, Paris, Kluwer.
    • (1990)
    • Ultsch, A.1    Siemon, H.P.2
  • 56
    • 0010985453 scopus 로고    scopus 로고
    • Self-organizing map in Matlab: The SOM toolbox
    • In Proceedings of the Matlab DSP Conference, Espoo, Finland, Comsol Oy
    • Vesanto, J., Himberg, J., Alhoniemi, E., Parhankangas, J. (1999). Self-organizing map in Matlab: The SOM toolbox. In Proceedings of the Matlab DSP Conference, Espoo, Finland, Comsol Oy.
    • (1999)
    • Vesanto, J.1    Himberg, J.2    Alhoniemi, E.3    Parhankangas, J.4
  • 57
    • 85131876141 scopus 로고
    • M2dSOMAP: clustering and classification of remotely sensed imagery by combining multiple Kohonen self-organizing maps and associative memory
    • In Proceedings of 1993 International Joint Conference on Neural Networks, IJCNN '93 Nagoya. Japan: Supermolecular Science Division Electrotechni
    • Wan, W., Fraser, D. (1993). M2dSOMAP: clustering and classification of remotely sensed imagery by combining multiple Kohonen self-organizing maps and associative memory. In Proceedings of 1993 International Joint Conference on Neural Networks, IJCNN '93 Nagoya. Japan: Supermolecular Science Division Electrotechni.
    • (1993)
    • Wan, W.1    Fraser, D.2
  • 58
    • 84877724789 scopus 로고    scopus 로고
    • Visual exploration of spatial interaction data with self-organizing maps
    • In A.S. Pragya Agarwal, (Ed.), Self-organising maps
    • Yan, J., Thill, J.-C., 2008. Visual exploration of spatial interaction data with self-organizing maps. In A.S. Pragya Agarwal, (Ed.), Self-organising maps. pp. 67-85.
    • (2008) , pp. 67-85
    • Yan, J.1    Thill, J.-C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.