메뉴 건너뛰기




Volumn 26, Issue 1, 2014, Pages 432-440

Spatial data discretization methods for geocomputation

Author keywords

Discretization; Geocomputation; Spatial autocorrelation; Spatial data; Spatial heterogeneity

Indexed keywords

AUTOCORRELATION; HETEROGENEITY; NUMERICAL METHOD; SPATIAL DATA;

EID: 84897061993     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2013.09.005     Document Type: Article
Times cited : (22)

References (57)
  • 3
    • 0029507498 scopus 로고
    • Local indicators of spatial association-LISA
    • Anselin, L., 1995. Local indicators of spatial association-LISA. Geographical Analysis27, 93-115.
    • (1995) Geographical Analysis , vol.27 , pp. 93-115
    • Anselin, L.1
  • 5
    • 77949502687 scopus 로고    scopus 로고
    • Using rough set theory to identify villagesaffected by birth defects: the example of Heshun, Shanxi, China
    • Bai, H.X., Ge, Y., Wang, J.F., Liao, Y.L., 2010. Using rough set theory to identify villagesaffected by birth defects: the example of Heshun, Shanxi, China. InternationalJournal of Geographical Information Science 24, 459-476.
    • (2010) InternationalJournal of Geographical Information Science , vol.24 , pp. 459-476
    • Bai, H.X.1    Ge, Y.2    Wang, J.F.3    Liao, Y.L.4
  • 6
    • 33750951467 scopus 로고    scopus 로고
    • Spatial data methods and vague regions:a rough set approach
    • Beaubouef, T., Petry, F.E., Ladner, R., 2007. Spatial data methods and vague regions:a rough set approach. Applied Soft Computing 7, 425-440.
    • (2007) Applied Soft Computing , vol.7 , pp. 425-440
    • Beaubouef, T.1    Petry, F.E.2    Ladner, R.3
  • 7
    • 23444444535 scopus 로고    scopus 로고
    • Rough set rule induction for suitability assessment
    • Berger, P.A., 2004. Rough set rule induction for suitability assessment. Environmen-tal Management 34, 546-558.
    • (2004) Environmen-tal Management , vol.34 , pp. 546-558
    • Berger, P.A.1
  • 8
    • 80052020923 scopus 로고    scopus 로고
    • Characterizing the multi-scale spatial structureof remotely sensed evapotranspiration with information theory
    • Brunsell, N.A., Anderson, M.C., 2011. Characterizing the multi-scale spatial structureof remotely sensed evapotranspiration with information theory. Biogeosciences8, 2269-2280.
    • (2011) Biogeosciences , vol.8 , pp. 2269-2280
    • Brunsell, N.A.1    Anderson, M.C.2
  • 9
    • 25844527228 scopus 로고    scopus 로고
    • The global challenges of birth defects and disabilities
    • Carmona, R.H., 2005. The global challenges of birth defects and disabilities. Lancet366, 1142-1144.
    • (2005) Lancet , vol.366 , pp. 1142-1144
    • Carmona, R.H.1
  • 12
    • 0141749115 scopus 로고    scopus 로고
    • Geocomputation's future at the extremes: high performance com-puting and nanoclients
    • Clarke, K.C., 2003. Geocomputation's future at the extremes: high performance com-puting and nanoclients. Parallel Computing 29, 1281-1295.
    • (2003) Parallel Computing , vol.29 , pp. 1281-1295
    • Clarke, K.C.1
  • 13
    • 0141463134 scopus 로고    scopus 로고
    • Geocomputation in context.
    • In: Longley, P.A., et al. (Eds.), John Wiley, Chichester
    • Couclelis, H., 1998. Geocomputation in context. In: Longley, P.A., et al. (Eds.), Geo-computation: A Primer. John Wiley, Chichester, pp. 17-29.
    • (1998) Geo-computation: A Primer. , pp. 17-29
    • Couclelis, H.1
  • 15
    • 77951205377 scopus 로고    scopus 로고
    • A case-based reasoning approach for land usechange prediction
    • Du, Y., Wen, W., Cao, F., Ji, M., 2010. A case-based reasoning approach for land usechange prediction. Expert Systems with Applications 37, 5745-5750.
    • (2010) Expert Systems with Applications , vol.37 , pp. 5745-5750
    • Du, Y.1    Wen, W.2    Cao, F.3    Ji, M.4
  • 16
    • 0003024008 scopus 로고
    • On the handling of continuous-valued attributes indecision tree generation
    • Fayyad, U.M., Irani, K.B., 1992. On the handling of continuous-valued attributes indecision tree generation. Machine Learning 8, 87-102.
    • (1992) Machine Learning , vol.8 , pp. 87-102
    • Fayyad, U.M.1    Irani, K.B.2
  • 20
    • 0001064046 scopus 로고    scopus 로고
    • What is geocomputation?
    • Gahegan, M., 1999. What is geocomputation? Transactions in GIS 3, 203-206.
    • (1999) Transactions in GIS , vol.3 , pp. 203-206
    • Gahegan, M.1
  • 21
    • 79957499665 scopus 로고    scopus 로고
    • Multiple-point simulation-based method for extraction ofobjects with spatial structure from remotely sensed imagery
    • Ge, Y., Bai, H.X., 2011. Multiple-point simulation-based method for extraction ofobjects with spatial structure from remotely sensed imagery. International Jour-nal of Remote Sensing 32, 2311-2335.
    • (2011) International Jour-nal of Remote Sensing , vol.32 , pp. 2311-2335
    • Ge, Y.1    Bai, H.X.2
  • 22
    • 79959553805 scopus 로고    scopus 로고
    • Impact of discretization methods on the rough set-based classification of remotely sensed images
    • Ge, Y., Cao, F., Duan, R.F., 2011. Impact of discretization methods on the rough set-based classification of remotely sensed images. International Journal of DigitalEarth 4, 330-346.
    • (2011) International Journal of DigitalEarth , vol.4 , pp. 330-346
    • Ge, Y.1    Cao, F.2    Duan, R.F.3
  • 25
    • 79959585033 scopus 로고    scopus 로고
    • Geographical detector-based riskassessment of the under-five mortality in the 2008 Wenchuan earthquake,China.
    • Hu, Y., Wang, J.F., Li, X.H., Ren, D., Zhu, J., 2011. Geographical detector-based riskassessment of the under-five mortality in the 2008 Wenchuan earthquake,China. PLoS ONE 6, e21427.
    • (2011) PLoS ONE , vol.6
    • Hu, Y.1    Wang, J.F.2    Li, X.H.3    Ren, D.4    Zhu, J.5
  • 35
    • 0001655410 scopus 로고
    • Contiguity-biased class-interval selection: a methodfor simplifying patterns on statistical maps
    • Monmonier, M.S., 1972. Contiguity-biased class-interval selection: a methodfor simplifying patterns on statistical maps. Geographical Review 62,203-228.
    • (1972) Geographical Review , vol.62 , pp. 203-228
    • Monmonier, M.S.1
  • 39
    • 84859031200 scopus 로고    scopus 로고
    • Urban versus Rural: the decrease of agricultural areasand the development of urban zones analyzed with spatial statistics
    • Murgante, B., Danese, M., 2011. Urban versus Rural: the decrease of agricultural areasand the development of urban zones analyzed with spatial statistics. Interna-tional Journal of Agricultural and Environmental Information Systems 2, 16-28.
    • (2011) Interna-tional Journal of Agricultural and Environmental Information Systems , vol.2 , pp. 16-28
    • Murgante, B.1    Danese, M.2
  • 42
    • 0002427202 scopus 로고    scopus 로고
    • Building automated geographical analysis and explanationmachines. In: Longley, P.A., Brooks, S.M., McDonnell, R., Macmillan, B. (Eds.) John Wiley and Sons, Chichester
    • Openshaw, S., 1998. Building automated geographical analysis and explanationmachines. In: Longley, P.A., Brooks, S.M., McDonnell, R., Macmillan, B. (Eds.),Geocomputation: A Primer. John Wiley and Sons, Chichester, pp. 95-115.
    • (1998) Geocomwputation: A Primer. , pp. 95-115
    • Openshaw, S.1
  • 44
    • 0344291226 scopus 로고    scopus 로고
    • Recent approaches to global optimizationproblems through Particle Swarm Optimization.
    • Parsopoulos, K.E., Vrahatis, M.N., 2002. Recent approaches to global optimizationproblems through Particle Swarm Optimization. Natural Computing 1, 235-306.
    • (2002) Natural Computing , vol.1 , pp. 235-306
    • Parsopoulos, K.E.1    Vrahatis, M.N.2
  • 46
    • 33744584654 scopus 로고
    • Induction of decision trees.
    • Quinlan, J.R., 1986. Induction of decision trees. Machine Learning 1, 81-106.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 51
    • 14644422200 scopus 로고    scopus 로고
    • An extended Chi2 algorithm for discretization of real valueattributes
    • Su, C.T., Hsu, J.H., 2005. An extended Chi2 algorithm for discretization of real valueattributes. IEEE Transactions on Knowledge and Data Engineering 17, 437-441.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , pp. 437-441
    • Su, C.T.1    Hsu, J.H.2
  • 53
    • 35748943218 scopus 로고    scopus 로고
    • A discretization algorithm based on Class-Attribute Contingency Coefficient
    • Tsai, C.J., Lee, C.I., Yang, W.P., 2008. A discretization algorithm based on Class-Attribute Contingency Coefficient. Information Sciences 178, 714-731.
    • (2008) Information Sciences , vol.178 , pp. 714-731
    • Tsai, C.J.1    Lee, C.I.2    Yang, W.P.3
  • 55
    • 84862829134 scopus 로고    scopus 로고
    • Environmental health risk detection with GeogDetector
    • Wang, J.F., Hu, Y., 2012. Environmental health risk detection with GeogDetector.Environmental Modelling & Software 33, 114-115.
    • (2012) Environmental Modelling & Software , vol.33 , pp. 114-115
    • Wang, J.F.1    Hu, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.