| 1 |
Emery, X. and Galvez, I., 2012, A plurigaussian model for simulating regionalized compositions. In Abrahamsen, P., Hauge, R., and Kolbjornsen, O. (eds.), Geostatistics Oslo 2012. Springer, New York, USA, 39-50.
|
| 2 |
Goovaerts, P., 1993, Spatial orthogonality of the principal components computed from coregionalized variables. Mathematical Geology, 25, 281-302.
DOI
|
| 3 |
Goovaerts, P., 1997, Geostatistics for natural resources evaluation. Oxford University Press, New York, USA, 483 p.
|
| 4 |
Goovaerts, P., 2010, Combining areal and point data in geostatistical interpolation: applications to soil science and medical geography. Mathematical Geosciences, 42, 535-554.
DOI
|
| 5 |
Goovaerts, P., Trinh, H.T., Demond, A., Franzblau, A., Garabrant, D., Gillespie, B., Epkowski, J., and Adriaens, P., 2008, Geostatistical modeling of the spatial distribution of soil dioxins in the vicinity of an incinerator. 1. theory and application to Midland, Michigan. Environmental Science & Technology, 42, 3648-3654.
DOI
ScienceOn
|
| 6 |
Jang, D.-H., Kim, J.-S., and Park, N.-W., 2010, Characteristics variation of the sedimentary environment in winter season around the Baramarae beach of Anmyondo using surface sediment analysis. Journal of the Korean Geomorphological Association, 17, 15-27. (in Korean)
|
| 7 |
Kyriakidis, P.C. and Dungan, J.L., 2001, A geostatistical approach for mapping thematic classification accuracy and evaluating the impact of inaccurate spatial data on ecological model predictions. Environmental and Ecological Statistics, 8, 311-330.
DOI
|
| 8 |
Lee, S.-W., Park, N.-W., Jang, D.-H., Yoo, H.Y., and Lim, H., 2012, Surface sediments classification in tidal flats using multivariate kriging and KOMPSAT-2 imagery. Journal of the Korean Geomorphological Association, 19, 37-49.
|
| 9 |
Kyriakidis, P.C., Miller, N.L., and Kim, J., 2004, A spatial time series framework for simulating daily precipitation at regional scales. Journal of Hydrology, 297, 236-255.
DOI
ScienceOn
|
| 10 |
Lark, R.M. and Bishop, T.F.A., 2007, Cokriging particle size fractions of the soil. European Journal of Soil Science, 58, 763-774.
DOI
ScienceOn
|
| 11 |
Lark, R.M., Dove, D., Green, S.L., Richardson, A.E., Stewart, H., and Stevenson, A., 2012, Spatial prediction of seabed sediment texture classes by cokriging from a legacy database of point observations. Sedimentary Geology, 281, 35-49.
DOI
ScienceOn
|
| 12 |
Martin-Fernandez, J.A. and Thio-Henestrosa, S., 2006, Rounded zeros: Some practical aspects for compositional data. In Buccianti, A., Mateu-Figueras, G., and Pawlowsky-Glahn, V. (eds.), Compositional data analysis in the geosciences: From theory to practice. Geological Society of London, UK, 191-201.
|
| 13 |
Odeh, I.O.A., Todd, A.J., and Triantafilis, J., 2003, Spatial prediction of soil particle-size fractions as compositional data. Soil Science, 168, 501-515.
|
| 14 |
Oh, J.-K. and Kum, B.-C., 2001, Depositional environments and characteristics of surface sediments in the nearshore and offshore the mid-western coast of the Korean peninsula. Journal of the Korean Earth Science Society, 22, 377-387. (in Korean)
과학기술학회마을
|
| 15 |
Oh, S., 2005, RMR evaluation by integration of geophysical and borehole data using non-linear indicator transform and 3D kriging. Journal of the Korean Earth Science Society, 26, 429-435. (in Korean)
과학기술학회마을
|
| 16 |
Park, N.-W., 2010, Exemplifying the potential of indicator geostatistics for probabilistic uncertainty and risk analyses of geochemical data. Journal of the Korean Earth Science Society, 31, 301-312. (in Korean)
DOI
ScienceOn
|
| 17 |
Park, N.-W., 2011, Time-series mapping and uncertainty modeling of environmental variables: A case study of PM10 concentration mapping. Journal of the Korean Earth Science Society, 32, 249-264. (in Korean)
과학기술학회마을
DOI
ScienceOn
|
| 18 |
Oh, S. and Han, S.-M., 2010, Downscaling of geophysical data for enhanced resolution by geostatistical approach. Journal of the Korean Earth Science Society, 31, 681- 690. (in Korean)
과학기술학회마을
DOI
ScienceOn
|
| 19 |
Oz, B., Deutsch, C.V., Tran, T.T., and Xie, Y., 2003, DSSIM-HR: A FORTRAN 90 program for direct sequential simulation with histogram reproduction. Computers & Geosciences, 29, 39-51.
DOI
ScienceOn
|
| 20 |
Park, N.-W. and Jang, D.-H., 2014, Comparison of geostatistical kriging algorithms for intertidal surface sediment facies mapping with grain size data. The Scientific World Journal, (in press).
|
| 21 |
Park, N.-W. and Oh, S., 2006. Application of geostatistical simulation to assessment of the effects of uncertainty of spatial data in mineral potential prediction. Journal of the Korean Society of Mineral and Energy Resources Engineers, 43, 213-223. (in Korean)
과학기술학회마을
|
| 22 |
Pawlowsky-Glahn, V. and Buccianti, A., 2011, Compositional data analysis: Theory and applications. Wiley, Chichester, UK, 400 p.
|
| 23 |
Pawlowsky-Glahn, V. and Olea, A., 2004, Geostatistical analysis of compositional data. Oxford University Press, New York, USA, 304 p.
|
| 24 |
Saito, H. and Goovaerts, P., 2003, Selective remediation of contaminated sites using a two-level multiphase strategy and geostatistics. Environmental Science & Technology, 37, 1912-1918.
DOI
ScienceOn
|
| 25 |
Shepard, F.P., 1954, Nomenclature based on sand-silt-clay ratios. Journal of Sedimentary Petrology, 24, 151-158.
|
| 26 |
Poppe, L.J., Eliason, A.H., and Hastings, M.E., 2003, A visual basic program to classify sediments based on gravel-sand-silt-clay ratios. Computers & Geosciences, 29, 805-809.
DOI
ScienceOn
|
| 27 |
Rondon, O., 2012, Teaching aid: Minimum/maximum autocorrelation factors for joint simulation of attributes. Mathematical Geosciences, 44, 469-504.
DOI
|
| 28 |
Shin, D.-H., Kum, B.-C., Park, E.Y., Lee, H.-I., and Oh, J.-K., 2004, Seasonal sedimentary characteristics and depositional environments after the construction of seawall on the Iwon macrotidal flat. Journal of the Korean Earth Science Society, 25, 615-628. (in Korean)
과학기술학회마을
|
| 29 |
Switzer, P. and Green, A.A., 1984, Min/Max autocorrelation factors for multivariate spatial imagery. Technical Report No. 6, Department of Statistics, Stanford University, Stanford, USA, 14 p.
|
| 30 |
Vargas-Guzman, A. and Dimitrakopoulos, R., 2003, Computational properties of min/max autocorrelation factors. Computers & Geosciences, 29, 715-723.
DOI
ScienceOn
|
| 31 |
Wang, G., Gernter, G.Z., Fang, S., and Anderson, A.B., 2003, Mapping multiple variables for predicting soil loss by joint sequential co-simulation with TM images and slope map. Photogrammetric Engineering & Remote Sensing, 69, 889-898.
DOI
|
| 32 |
Desbarats, A.J. and Dimitrakopoulos, R., 2000, Geostatistical simulation of regionalized pore-size distributions using min/max autocorrelation factors. Mathematical Geology, 32, 919-942.
DOI
|
| 33 |
Buttafuoco, G., Conforti, M., Aucelli, P.P.C., Robustelli, G., and Scarciglia, F., 2012, Assessing spatial uncertainty in mapping soil erodibility factor using geostatistical stochastic simulation. Environmental Earth Sciences, 66, 1111-1125.
DOI
ScienceOn
|
| 34 |
Aitchison, J., 1986, The statistical analysis of compositional data. Chapman and Hall, London, UK, 416 p.
|
| 35 |
Boucher, A. and Dimitrakopoulos, R., 2009, Block-support simulation of multiple correlated variables. Mathematical Geosciences, 41, 215-237.
DOI
|
| 36 |
Chiles, J.-P. and Delfiner, P., 2012, Geostatistics: Modeling spatial uncertainty. Wiley, New York, USA, 734 p.
|
| 37 |
Davis, J.C., 2002, Statistics and data analysis in geology. Wiley, New York, USA, 656 p.
|
| 38 |
Deutsch, C.V. and Journel, A.G., 1998, GSLIB: Geostatistical Software Library and User's Guide. Oxford University Press, New York, USA, 369 p.
|
| 39 |
Egozcue, J.J., Pawlowsky-Glahn, V., Mateu-Figueras, G., and Barcelo-Vidal, C., 2003, Isometric logratio transformations for compositional data analysis. Mathematical Geology, 35, 279-300.
DOI
|
| 40 |
Goovaerts, P., 2009, AUTO-IK: A 2D indicator kriging program for the automated non-parametric modeling of local uncertainty in earth sciences. Computers & Geosciences, 35, 1255-1270.
DOI
ScienceOn
|
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