메뉴 건너뛰기




Volumn 140, Issue 4, 2007, Pages 417-427

Methods to interpolate soil categorical variables from profile observations: Lessons from Iran

Author keywords

Categorical variables; Fuzzy means; MODIS; Multinominal logistic regression; Regression kriging; Terrain parameters

Indexed keywords

CATEGORICAL VARIABLES; FUZZY MEANS; MODIS; MULTINOMINAL LOGISTIC REGRESSION; REGRESSION KRIGING; TERRAIN PARAMETERS;

EID: 34447527460     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2007.04.022     Document Type: Article
Times cited : (144)

References (40)
  • 1
    • 0346936364 scopus 로고    scopus 로고
    • Spatial distribution of main forest soil groups in croatia as a function of basic pedogenetic factors
    • Antonić O., Pernar N., and Jelaska S. Spatial distribution of main forest soil groups in croatia as a function of basic pedogenetic factors. Ecological Modelling 170 2-3 (2003) 363-371
    • (2003) Ecological Modelling , vol.170 , Issue.2-3 , pp. 363-371
    • Antonić, O.1    Pernar, N.2    Jelaska, S.3
  • 2
    • 0038324397 scopus 로고    scopus 로고
    • Modelling soil series data to facilitate targeted habitat restoration: a polytomous logistic regression approach
    • Bailey N., Clements T., Lee J.T., and Thompson S. Modelling soil series data to facilitate targeted habitat restoration: a polytomous logistic regression approach. Journal of Environmental Management 67 4 (2003) 395-407
    • (2003) Journal of Environmental Management , vol.67 , Issue.4 , pp. 395-407
    • Bailey, N.1    Clements, T.2    Lee, J.T.3    Thompson, S.4
  • 4
    • 0027883728 scopus 로고
    • The indicator approach to categorical soil dataI: Theory
    • Bierkens M., and Burrough P. The indicator approach to categorical soil dataI: Theory. Journal of Soil Science 44 (1993) 361-368
    • (1993) Journal of Soil Science , vol.44 , pp. 361-368
    • Bierkens, M.1    Burrough, P.2
  • 6
    • 0346401597 scopus 로고    scopus 로고
    • Fuzzy continuous classification and spatial interpolation in conventional soil survey for soil mapping of the lower (Piave) plain
    • Bragato G. Fuzzy continuous classification and spatial interpolation in conventional soil survey for soil mapping of the lower (Piave) plain. Geoderma 118 1-2 (2004) 1-16
    • (2004) Geoderma , vol.118 , Issue.1-2 , pp. 1-16
    • Bragato, G.1
  • 8
    • 0036887786 scopus 로고    scopus 로고
    • Quantitative mapping of soil types based on regression kriging of taxonomic distances with landform and land cover attributes
    • Carré F., and Girard M.C. Quantitative mapping of soil types based on regression kriging of taxonomic distances with landform and land cover attributes. Geoderma 110 3-4 (2002) 241-263
    • (2002) Geoderma , vol.110 , Issue.3-4 , pp. 241-263
    • Carré, F.1    Girard, M.C.2
  • 9
    • 0030617044 scopus 로고    scopus 로고
    • Continuous soil maps - a fuzzy set approach to bridge the gap between aggregation levels of process and distribution models
    • De Gruijter J.J., Walvoort D.J.J., and van Gaans P.F.M. Continuous soil maps - a fuzzy set approach to bridge the gap between aggregation levels of process and distribution models. Geoderma 77 2-4 (1997) 169-195
    • (1997) Geoderma , vol.77 , Issue.2-4 , pp. 169-195
    • De Gruijter, J.J.1    Walvoort, D.J.J.2    van Gaans, P.F.M.3
  • 10
    • 0033831058 scopus 로고    scopus 로고
    • Use of combined digital elevation model and satellite radiometric data for regional soil mapping
    • Dobos E., Micheli E., Baumgardner M.F., Biehl L., and Helt T. Use of combined digital elevation model and satellite radiometric data for regional soil mapping. Geoderma 97 3-4 (2000) 367-391
    • (2000) Geoderma , vol.97 , Issue.3-4 , pp. 367-391
    • Dobos, E.1    Micheli, E.2    Baumgardner, M.F.3    Biehl, L.4    Helt, T.5
  • 11
    • 9344257857 scopus 로고    scopus 로고
    • Spatial prediction of categorical variables with the bayesian maximum entropy approach: the ooypolder case study
    • (December)
    • D'Or D., and Bogaert P. Spatial prediction of categorical variables with the bayesian maximum entropy approach: the ooypolder case study. European Journal of Soil Science 55 (2005) 763-775 (December)
    • (2005) European Journal of Soil Science , vol.55 , pp. 763-775
    • D'Or, D.1    Bogaert, P.2
  • 12
    • 1042282880 scopus 로고    scopus 로고
    • World reference base for soil resources
    • FAO/ISRIC/ISSS, Rome
    • FAO. World reference base for soil resources. World soil resources reports (1998), FAO/ISRIC/ISSS, Rome
    • (1998) World soil resources reports
    • FAO1
  • 13
    • 20444415862 scopus 로고
    • Guidelines for soil description
    • Soil Resources. 3rd Edition
    • FAO. Guidelines for soil description. Soil Resources. 3rd Edition. Management and Conservation Service, Rome (1990)
    • (1990) Management and Conservation Service, Rome
    • FAO1
  • 14
    • 3042661357 scopus 로고    scopus 로고
    • Thematic map comparison: Evaluating the statistical significance of differences
    • Foody G. Thematic map comparison: Evaluating the statistical significance of differences. Photogrammetric Engineering and Remote Sensing 70 (2004) 627-633
    • (2004) Photogrammetric Engineering and Remote Sensing , vol.70 , pp. 627-633
    • Foody, G.1
  • 16
    • 0242723130 scopus 로고    scopus 로고
    • Probabilistic segmentation of remotely sensed images
    • International Institute for Geoinformation Science and Earth Observation (ITC), Enschede
    • Gorte B. Probabilistic segmentation of remotely sensed images. ITC Publication Series vol. 63 (1998), International Institute for Geoinformation Science and Earth Observation (ITC), Enschede
    • (1998) ITC Publication Series , vol.63
    • Gorte, B.1
  • 17
    • 34447556307 scopus 로고    scopus 로고
    • Hengl, T., 2003. Pedometric mapping: bridging the gaps between conventional and pedometric approaches. Ph.D. thesis, University of Wageningen.
  • 18
    • 1842583695 scopus 로고    scopus 로고
    • A generic framework for spatial prediction of soil variables based on regression-kriging
    • Hengl T., Heuvelink G., and Stein A. A generic framework for spatial prediction of soil variables based on regression-kriging. Geoderma 122 1-2 (2004) 75-93
    • (2004) Geoderma , vol.122 , Issue.1-2 , pp. 75-93
    • Hengl, T.1    Heuvelink, G.2    Stein, A.3
  • 19
    • 34447555278 scopus 로고    scopus 로고
    • Hengl, T., Heuvelink, G., Rossiter, D., in press. About regression-kriging: from equations to case studies. Computers and geosciences.
  • 21
    • 33847753775 scopus 로고    scopus 로고
    • IUSS Working Group WRB, World Soil Resources Report FAO, Rome 127 pp.
    • IUSS Working Group WRB. World Reference Base for Soil Resources. 2nd ed. (2006), World Soil Resources Report FAO, Rome 127 pp.
    • (2006) World Reference Base for Soil Resources. 2nd ed.
  • 22
    • 0001353711 scopus 로고
    • Constrained interpolation and qualitative information
    • Journel A. Constrained interpolation and qualitative information. Mathematical Geology 18 3 (1986) 269-286
    • (1986) Mathematical Geology , vol.18 , Issue.3 , pp. 269-286
    • Journel, A.1
  • 23
    • 28944438122 scopus 로고    scopus 로고
    • Spatial analysis of categorical soil variables with the wavelet transform
    • Lark R. Spatial analysis of categorical soil variables with the wavelet transform. European Journal of Soil Science 56 6 (2005) 779-792
    • (2005) European Journal of Soil Science , vol.56 , Issue.6 , pp. 779-792
    • Lark, R.1
  • 25
    • 27644492480 scopus 로고    scopus 로고
    • A markov chain-based probability vector approach for modelling spatial uncertainties of soil classes
    • Li W., Zhang C., Burt J., and Zhu A. A markov chain-based probability vector approach for modelling spatial uncertainties of soil classes. Soil Science Society of America Journal 69 (2005) 1931-1942
    • (2005) Soil Science Society of America Journal , vol.69 , pp. 1931-1942
    • Li, W.1    Zhang, C.2    Burt, J.3    Zhu, A.4
  • 27
    • 1542501552 scopus 로고    scopus 로고
    • Automated analysis and classification of landforms using high-resolution digital elevation data: Applications and issues
    • MacMillan R., Martin T., Earle T., and McNabb D. Automated analysis and classification of landforms using high-resolution digital elevation data: Applications and issues. Canadian Journal of Remote Sensing 29 5 (2003) 592-606
    • (2003) Canadian Journal of Remote Sensing , vol.29 , Issue.5 , pp. 592-606
    • MacMillan, R.1    Martin, T.2    Earle, T.3    McNabb, D.4
  • 28
    • 0027083834 scopus 로고
    • Spatial prediction and mapping of continuous soil classes
    • McBratney A.B., De Gruijter J.J., and Brus D.J. Spatial prediction and mapping of continuous soil classes. Geoderma 54 1-4 (1992) 39-64
    • (1992) Geoderma , vol.54 , Issue.1-4 , pp. 39-64
    • McBratney, A.B.1    De Gruijter, J.J.2    Brus, D.J.3
  • 32
    • 0003973174 scopus 로고    scopus 로고
    • Neter J., Kutner M., Nachtsheim C., and Wasserman W. (Eds), The McGraw-Hill Companies
    • In: Neter J., Kutner M., Nachtsheim C., and Wasserman W. (Eds). Applied linear statistical models. 4th Edition (1996), The McGraw-Hill Companies
    • (1996) Applied linear statistical models. 4th Edition
  • 34
    • 11144311844 scopus 로고    scopus 로고
    • Multiple indicator cokriging with application to optimal sampling for environmental monitoring
    • Pardo-Iguzquiza E., and Dowd P.A. Multiple indicator cokriging with application to optimal sampling for environmental monitoring. Computers & Geosciences 31 1 (2005) 1-13
    • (2005) Computers & Geosciences , vol.31 , Issue.1 , pp. 1-13
    • Pardo-Iguzquiza, E.1    Dowd, P.A.2
  • 35
    • 3342878970 scopus 로고    scopus 로고
    • Multivariable geostatistics in S: The gstat package
    • Pebesma E.J. Multivariable geostatistics in S: The gstat package. Computers & Geosciences 30 7 (2004) 683-691
    • (2004) Computers & Geosciences , vol.30 , Issue.7 , pp. 683-691
    • Pebesma, E.J.1
  • 37
    • 0442269733 scopus 로고    scopus 로고
    • International Institute for Geo-information Science and Earth Observation (ITC), Enschede
    • Unit Geo Software Development. ILWIS 3.0 Academic user's guide (2001), International Institute for Geo-information Science and Earth Observation (ITC), Enschede
    • (2001) ILWIS 3.0 Academic user's guide
    • Unit Geo Software Development1
  • 39
    • 0347538690 scopus 로고    scopus 로고
    • Compositional kriging: A spatial interpolation method for compositional data
    • Walvoort D.J.J., and De Gruijter J.J. Compositional kriging: A spatial interpolation method for compositional data. Mathematical Geology 33 8 (2001) 951-966
    • (2001) Mathematical Geology , vol.33 , Issue.8 , pp. 951-966
    • Walvoort, D.J.J.1    De Gruijter, J.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.