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Volumn 20, Issue 8, 2006, Pages 823-855

On the prediction error variance of three common spatial interpolation schemes

Author keywords

Bilinear interpolation; Error propagation; Geostatistics; Linear interpolation; Spatial accuracy assessment; Trend surface models

Indexed keywords

ERROR ANALYSIS; GEOSTATISTICS; GIS; INTERPOLATION; KRIGING; PREDICTION;

EID: 33749048314     PISSN: 13658816     EISSN: 17417546     Source Type: Journal    
DOI: 10.1080/13658810600711279     Document Type: Article
Times cited : (34)

References (17)
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    • Akima, H.1
  • 3
    • 33749076941 scopus 로고
    • On the theoretical accuracy of the moving average method for surface estimation
    • Botman, A. G. and Kubik, K. (1979) On the theoretical accuracy of the moving average method for surface estimation. The ITC Journal, 1979-1, pp. 68-84.
    • (1979) The ITC Journal , vol.1979-1981 , pp. 68-84
    • Botman, A.G.1    Kubik, K.2
  • 12
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    • Interpolation accuracy for topographic and geological surfaces
    • Kubik, K. and Botman, A. G. (1976) Interpolation accuracy for topographic and geological surfaces. The ITC Journal, 1976-2, pp. 236-274.
    • (1976) The ITC Journal , vol.1976-1982 , pp. 236-274
    • Kubik, K.1    Botman, A.G.2
  • 16
    • 0031779989 scopus 로고    scopus 로고
    • A generic statistical approach for modelling error of geometric features in GIS
    • Shi, W. Z. (1998) A generic statistical approach for modelling error of geometric features in GIS. International Journal of Geographical Information Science, 12, pp. 131-143.
    • (1998) International Journal of Geographical Information Science , vol.12 , pp. 131-143
    • Shi, W.Z.1
  • 17
    • 33745076562 scopus 로고    scopus 로고
    • Estimation of average DEM accuracy under linear interpolation considering random error at the nodes of TIN model
    • Zhu, C. Q. and Shi, W. Z. and Li, Q. Q. and Wang, G. X. and Cheung, T. C. K. and Dai, E. and Shea, G. Y. K. (2005) Estimation of average DEM accuracy under linear interpolation considering random error at the nodes of TIN model. International Journal of Remote Sensing, 26, pp. 5509-5523.
    • (2005) International Journal of Remote Sensing , vol.26 , pp. 5509-5523
    • Zhu, C.Q.1    Shi, W.Z.2    Li, Q.Q.3    Wang, G.X.4    Cheung, T.C.K.5    Dai, E.6    Shea, G.Y.K.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.