Identification of field attribute error under different models of spatial variation

References

• ANSELIN , L. , DODSON , R. F. , and HUDAK , S. , 1994 , Linking GIS and spatial data analysis in practice . Geographical Systems , 1 , 3 – 23 .
   Google Scholar
• ARMSTRONG , M. , 1984 , Problems with universal kriging . Mathematical Geology , 16 , 101 – 108 .
   Google Scholar
• BASU , S. , and REINSEL , G. C. , 1994, Regression models with spatially correlated errors. Journal of the American Statistical Association , 89, 88–99.
   Web of Science ®Google Scholar
• BECKETT , P. H. T. , and BURROUGH , P. A. , 1971 , The relation between cost and utility in soil survey. IV: Comparison of the utilities of soil maps produced by different survey procedures, and to different scales . Journal of Soil Science , 22 , 466 – 480 .
   Google Scholar
• BREGT , A. K. , 1992 , Processing of soil survey data . PhD Thesis . Agricultural University , Wageningen , The Netherlands .
   Google Scholar
• BREGT , A. K. , and BEEMSTER , J. G. R. , 1989 , Accuracy in predicting moisture deficits and changes in yield from soil maps . Geoderma , 43 , 301 – 310 .
   Web of Science ®Google Scholar
• BURROUGH , P. A. 1986 , Principles of Geographical Information Systems for Land Resources Assessment ( Oxford : Clarendon Press ).
   Google Scholar
• BURROUGH , P. A. , 1993 , Soil variability: a late 20th century view . Soils and Fertilizers , 56 , 529 – 562 .
   Google Scholar
• CARTER , J. R. , 1992 , The effect of data precision on the calculation of slope and aspect using gridded DEMs . Cartography , 29 , 22 – 34 .
   Google Scholar
• CHRISTENSEN , R. 1991 , Linear Models for Multivariate, Time Series, and Spatial Data ( New York : Springer ).
   Google Scholar
• CRESSIE , N. , 1991 , Statistics for Spatial Data ( New York : Wiley ).
   Google Scholar
• DE ROO , A. P. J. , HAZELHOFF , L. , and HEUVELINK , G. B. M. , 1992 , Estimating the effects of spatial variability of infiltration on the output of a distributed runoff and soil erosion model using Monte Carlo methods . Hydrological Processes , 6 , 127 – 143 .
   Google Scholar
• DELHOMME , J. P. , 1979 , Spatial variability and uncertainty in groundwater flow parameters: a geostatistical approach . Water Resources Research , 15 , 269 – 280 .
   Web of Science ®Google Scholar
• DEUTSCH , C. V. , and JOURNEL , A. G. , 1992 , GSLIB: Geostatistical Software Library and User's Guide ( New York : Oxford University Press ).
   Google Scholar
• GOODCHILD , M. F. , 1989 , Modeling error in objects and fields . In Accuracy of Spatial Databases , edited by M. F. Goodchild and S. Gopal ( London : Taylor and Francis ), pp. 107 – 113 .
   Google Scholar
• GOODCHILD , M. F. , and GOPAL , S. , (editors): 1989 , Accuracy of Spatial Databases ( London : Taylor and Francis ).
   Google Scholar
• GOODCHILD , M. F. , GUOQING , S. , and SHIREN , Y. , 1992 , Development and test of an error model for categorical data . International Journal of Geographical Information Systems , 6 , 87 – 104 .
   Web of Science ®Google Scholar
• HAINING , R. , and ARBIA , G. , 1993 , Error propagation through map operations . Technometrics , 35 , 293 – 305 .
   Web of Science ®Google Scholar
• HEUVELINK , G. B. M. , 1993 , Error propagation in quantitative spatial modelling: applications in Geographical Information Systems . PhD Thesis. Netherlands Geographical Studies 163, Koninklijk Nederlands Aardrijkskundig Genootschap, Utrecht .
   Google Scholar
• HEUVELINK , G. B. M. , and BIERKENS , M. F. P. , 1992 , Combining soil maps with interpolations from point observations to predict quantitative soil properties . Geoderma , 55 , 1 – 15 .
   Web of Science ®Google Scholar
• HEUVELINK , G. B. M. , and BURROUGH , P. A. , 1993 , Error propagation in cartographic modelling using Boolean methods and continuous classification . International Journal of Geographical Information Systems , 7 , 231 – 246 .
   Web of Science ®Google Scholar
• HEUVELINK , G. B. M. , BURROUGH , P. A. , and STEIN , A. , 1989 , Propagation of errors in spatial modelling with GIS . International Journal of Geographical Information Systems , 3 , 303 – 322 .
   Google Scholar
• HEUVELINK , G. B. M. , and HUISMAN , J. A. , 1996 , Choosing between abrupt and gradual spatial variation? In Spatial Accuracy Assessment in Natural Resources and Environmental Sciences , edited by H. T. Mowrer , R. L. Czaplewski and R. H. Hamre ( Fort Collins : USDA Forest Service, General Technical Report RM-GTR-277 ), pp. 243 – 250 .
   Google Scholar
• KERN , J. S. , 1994 , Spatial patterns of soil organic carbon in the contiguous United States . Soil Science Society of America Journal , 58 , 439 – 455 .
   Web of Science ®Google Scholar
• KITANIDIS , P. K. , 1993 , Generalized covariance functions in estimation . Mathematical Geology , 25 , 525 – 540 .
   Google Scholar
• LANTER , D. P. , and VEREGIN , H. , 1992 , A research paradigm for propagating error in layer-based GIS . Photogrammetric Engineering and Remote Sensing , 58 , 825 – 833 .
   Web of Science ®Google Scholar
• MATHERON , G. , 1989, Estimating and Choosing (Berlin : Springer-Verlag).
   Google Scholar
• MOWRER , H. T. , 1994 , Monte Carlo techniques for propagating uncertainty through simulation models and raster-based GIS . In Proceedings of the International Symposium on Spatial Accuracy of Natural Resource Data Bases , edited by R. G. Congalton ( Washington D.C. : American Society for Photogrammetry and Remote Sensing ), pp. 179 – 188 .
   Google Scholar
• NETHERLANDS SOIL SURVEY INSTITUTE, 1975, Toelichting bij de bodemkaart van Nederland, blad (40 O-W), schaal 1:50 000. Wageningen (in Dutch) .
   Google Scholar
• OLIVER , M. A. , and WEBSTER , R. 1990 , Kriging: a method of interpolation for geographical information systems . International Journal of Geographical Information Systems , 4 , 313 – 332 .
   Google Scholar
• PEBESMA , E. J. , 1994 , GSTAT—Multivariate Geostatistical Toolbox . National Institute for Public Health and Environmental Protection , Bilthoven , The Netherlands .
   Google Scholar
• ROGOWSKI , A. S. , and WOLF , J. K. 1994 , Incorporating variability into soil map unit delineations . Soil Science Society of America Journal , Vol. 58 , pp. 163 – 174 .
   Google Scholar
• SOIL SURVEY STAFF , 1975 , Soil taxonomy; a basic system of soil classification for making and interpreting soil surveys. Agriculture Handbook 436 , Department of Agriculture , Washington , D.C.
   Google Scholar
• STEIN , A. , and CORSTEN , L. C. A. , 1991 , Universal kriging and cokriging as a regression procedure . Biometrics , 47 , 575 – 587 .
   Web of Science ®Google Scholar
• STEIN , A. , HOOGERWERF , M. , and BOUMA , J. , 1988 , Use of soil-map delineations to improve (co-)kriging of point data on moisture deficits . Geoderma , 43 , 163 – 177 .
   Web of Science ®Google Scholar
• VAN DER SLUIJS , P. , and DE GRUIJTER , J. J. , 1985 , Water table classes: a method to describe seasonal fluctuation and duration of water tables on Dutch soil maps . Agricultural Water Management , 10 , 109 – 125 .
   Google Scholar
• VAN KUILENBURG , J. , DE GRUIJTER , J. J. , MARSMAN , B. A. , and BOUMA , J. , 1982 , Accuracy of spatial interpolation between point data on soil moisture supply capacity, compared with estimates from mapping units . Geoderma , 27 , 311 – 325 .
   Web of Science ®Google Scholar
• VEREGIN , H. , 1994 , Integration of simulation modeling and error propagation for the buffer operation in GIS . Photogrammetric Engineering & Remote Sensing , 60 , 427 – 435 .
   Web of Science ®Google Scholar
• VOLTZ , M. , and WEBSTER , R. 1990 , A comparison of kriging, cubic splines and classification for predicting soil properties from sample information . Journal of Soil Science , 41 , 473 – 490 .
   Google Scholar
• WEBSTER , R. , and BURGESS , T. M. , 1980 , Optimal interpolation and isarithmic mapping of soil properties III. Changing drift and universal kriging . Journal of Soil Science , 31 , 505 – 524 .
   Google Scholar
• WESSELING , C. G. , and HEUVELINK , G. B. M. , 1993 a , Manipulating quantitative attribute accuracy in vector GIS . In Proceedings EGIS '93 , edited by J. Harts , H. F. L. Ottens and H. J. Scholten ( Utrecht : EGIS Foundation ), pp. 675 – 684 .
   Google Scholar
• WESSELING , C. G. , and HEUVELINK , G. B. M. , 1993 b , ADAM User's Manual . Department of Physical Geography, University of Utrecht .
   Google Scholar
• WöSTEN , J. H. M. , BOUMA , J. , and STOFFELSEN , G. H. , 1985 , The use of soil survey data for regional soil water simulation models . Soil Science Society of America Journal , 49 , 1238 – 1244 .
   Web of Science ®Google Scholar
• YOST , R. , LOAGUE , K. , and GREEN , R. , 1993 , Reducing variance in soil organic carbon estimates: soil classification and geostatistical approaches . Geoderma , 57 , 247 – 262 .
   Google Scholar