메뉴 건너뛰기




Volumn 64, Issue 3, 2009, Pages 368-380

A review of geo-spatial sampling theory

Author keywords

Geography spatial; Kriging sampling; Sample survey

Indexed keywords

KRIGING; MODELING; SAMPLING; SOCIOECONOMIC CONDITIONS; SURVEY; THEORETICAL STUDY;

EID: 67649183060     PISSN: 03755444     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (31)

References (112)
  • 1
    • 84865486245 scopus 로고
    • Principles of geostatistics
    • Matheron G. Principles of geostatistics. Economic Geology, 1963, 58: 1246-1266.
    • (1963) Economic Geology , vol.58 , pp. 1246-1266
    • Matheron, G.1
  • 3
    • 0000565591 scopus 로고
    • A computer movie simulating urban growth in the Detroit Region
    • Tobler W. A computer movie simulating urban growth in the Detroit Region. Economic Geography, 1970, 46(2): 234-240.
    • (1970) Economic Geography , vol.46 , Issue.2 , pp. 234-240
    • Tobler, W.1
  • 8
  • 10
    • 45749150781 scopus 로고    scopus 로고
    • Variation in soil seed bank species composition of a dry coniferous forest: Spatial scale and sampling considerations
    • Stark K E, Arsenault A, Bradfield G E. Variation in soil seed bank species composition of a dry coniferous forest: Spatial scale and sampling considerations. Plant Ecology, 2008, 197(2): 173-181.
    • (2008) Plant Ecology , vol.197 , Issue.2 , pp. 173-181
    • Stark, K.E.1    Arsenault, A.2    Bradfield, G.E.3
  • 11
    • 33747903369 scopus 로고
    • Spatial sampling requirements for tropical Pacific sea surface temperature variability
    • Nakamoto S, Fang Z, Matsuura T. Spatial sampling requirements for tropical Pacific sea surface temperature variability. Journal of Geophysical Research, 1994, 99(C9): 18363-18370.
    • (1994) Journal of Geophysical Research , vol.99 , pp. 18363-18370
    • Nakamoto, S.1    Fang, Z.2    Matsuura, T.3
  • 12
    • 0035953465 scopus 로고    scopus 로고
    • Spatial variability in reef fish distribution, abundance, size and biomass: A multi-scale analysis
    • Nick G, Howard C J, Mccormick Mark I. Spatial variability in reef fish distribution, abundance, size and biomass: A multi-scale analysis. Marine Ecology, 2001, 214: 237-251.
    • (2001) Marine Ecology , vol.214 , pp. 237-251
    • Nick, G.1    Howard, C.J.2    Mccormick Mark, I.3
  • 13
    • 24644483183 scopus 로고    scopus 로고
    • Experimental design for spatial sampling applied to the study of tropical forest regeneration
    • Dessard H, Bar-Hen A. Experimental design for spatial sampling applied to the study of tropical forest regeneration. Canadian Journal of Forest Research, 2005, 35(5): 1149-1155.
    • (2005) Canadian Journal of Forest Research , vol.35 , Issue.5 , pp. 1149-1155
    • Dessard, H.1    Bar-Hen, A.2
  • 14
    • 33746415712 scopus 로고    scopus 로고
    • Optimal decision-making model of spatial sampling for survey of China's land with remotely sensed data
    • Lianfa L, Wang Jinfeng. Optimal decision-making model of spatial sampling for survey of China's land with remotely sensed data. Science in China (Series D), 2005, 48(6): 752-764.
    • (2005) Science in China (Series D) , vol.48 , Issue.6 , pp. 752-764
    • Lianfa, L.1    Jinfeng, W.2
  • 15
    • 35848958399 scopus 로고    scopus 로고
    • Spatial sampling design for a demographic and health survey
    • Kumar N. Spatial sampling design for a demographic and health survey. Population Research and Policy Review, 2007, 26(5): 581-599.
    • (2007) Population Research and Policy Review , vol.26 , Issue.5 , pp. 581-599
    • Kumar, N.1
  • 17
    • 0036170607 scopus 로고    scopus 로고
    • Optimized spatial sampling of soil for estimation of the variogram by maximum likelihood
    • Lark R M. Optimized spatial sampling of soil for estimation of the variogram by maximum likelihood. Geoderma, 2002, 105(1/2): 49-80.
    • (2002) Geoderma , vol.105 , Issue.1-2 , pp. 49-80
    • Lark, R.M.1
  • 18
    • 0027142777 scopus 로고
    • Sampling design for classifying contaminant level using annealing search algorithms
    • Christakos G, Killam B R. Sampling design for classifying contaminant level using annealing search algorithms. Water Resources Research, 1993, 29(12): 4063-4076.
    • (1993) Water Resources Research , vol.29 , Issue.12 , pp. 4063-4076
    • Christakos, G.1    Killam, B.R.2
  • 19
    • 67649215462 scopus 로고    scopus 로고
    • Some hotspot issues on the application and theory of survey sampling
    • [ 19] Feng Shiyong. Some hotspot issues on the application and theory of survey sampling. Statistics & Information Forum, 2007, 22(1): 5-31.
    • (2007) Statistics & Information Forum , vol.22 , Issue.1 , pp. 5-31
    • Shiyong, F.1
  • 22
    • 0034111082 scopus 로고    scopus 로고
    • Operational remote sensing methods for agricultural statistics
    • Wu Bingfang. Operational remote sensing methods for agricultural statistics. Acta Geographica Sinica, 2000, 55(1): 25-35.
    • (2000) Acta Geographica Sinica , vol.55 , Issue.1 , pp. 25-35
    • Bingfang, W.1
  • 23
    • 33746415712 scopus 로고    scopus 로고
    • Optimal decision-making model of spatial sampling for survey of China's land with remotely sensed data
    • Li Lianfa, Wang Jinfeng, Liu Jiyuan. Optimal decision-making model of spatial sampling for survey of China's land with remotely sensed data. Science in China (Series D), 2005, 48(5).
    • (2005) Science in China (Series D) , vol.48 , Issue.5
    • Lianfa, L.1    Jinfeng, W.2    Jiyuan, L.3
  • 24
    • 2942571057 scopus 로고    scopus 로고
    • Integrated spatial sampling modeling of geospatial data
    • Li Lianfa, Wang Jinfeng. Integrated spatial sampling modeling of geospatial data. Science in China (Series D), 2004, 47 (3): 201-208.
    • (2004) Science in China (Series D) , vol.47 , Issue.3 , pp. 201-208
    • Lianfa, L.1    Jinfeng, W.2
  • 25
    • 0037137931 scopus 로고    scopus 로고
    • Spatial sampling design for monitoring the area of cultivated land
    • Wang Jinfeng, Zhuang Dafang, Li Lianfa. Spatial sampling design for monitoring the area of cultivated land. International Journal of Remote Sensing, 2002, 13(2): 263-284.
    • (2002) International Journal of Remote Sensing , vol.13 , Issue.2 , pp. 263-284
    • Jinfeng, W.1    Dafang, Z.2    Lianfa, L.3
  • 26
    • 67649160234 scopus 로고    scopus 로고
    • Spatial sampling design for monitoring drought, flood and earthquake in China
    • Wang Jinfeng, Robert H, Wise S. Spatial sampling design for monitoring drought, flood and earthquake in China. Progress in Natural Science, 1999, (4).
    • (1999) Progress in Natural Science , Issue.4
    • Jinfeng, W.1    Robert, H.2    Wise, S.3
  • 27
    • 0032509528 scopus 로고    scopus 로고
    • The effects of sampling design on spatial structure analysis of contaminated soil
    • Wang X J, Qi F. The effects of sampling design on spatial structure analysis of contaminated soil. Science of the Total Environment, 1998, 223(1-3): 29-41.
    • (1998) Science of the Total Environment , vol.223 , Issue.1-3 , pp. 29-41
    • Wang, X.J.1    Qi, F.2
  • 29
    • 33748606135 scopus 로고    scopus 로고
    • Sampling and variance estimation on continuous domains
    • Cooper C. Sampling and variance estimation on continuous domains. Environmetrics, 2006, 17(6): 539-553.
    • (2006) Environmetrics , vol.17 , Issue.6 , pp. 539-553
    • Cooper, C.1
  • 31
    • 0000375310 scopus 로고
    • Sampling design optimization for spatial functions
    • Olea R A. Sampling design optimization for spatial functions. Mathematical Geology, 1984, 16: 369-392.
    • (1984) Mathematical Geology , vol.16 , pp. 369-392
    • Olea, R.A.1
  • 32
    • 80052245544 scopus 로고
    • Properties of designs for sampling continuous spatial resources from a triangular grid
    • Overton W, Stehman S. Properties of designs for sampling continuous spatial resources from a triangular grid. Communications in Statistics Part A: Theory and Methods, 1993, 22: 2641-2660.
    • (1993) Communications in Statistics Part A: Theory and Methods , vol.22 , pp. 2641-2660
    • Overton, W.1    Stehman, S.2
  • 37
    • 31044437797 scopus 로고    scopus 로고
    • Optimal estuarine sediment monitoring network design with simulated annealing
    • Nunes L M. Optimal estuarine sediment monitoring network design with simulated annealing. Journal of Environmental Management, 2006, 78: 294-304.
    • (2006) Journal of Environmental Management , vol.78 , pp. 294-304
    • Nunes, L.M.1
  • 38
    • 0029413772 scopus 로고
    • Sampling design methods for groundwater modeling under uncertainty
    • Wagner B J. Sampling design methods for groundwater modeling under uncertainty. Water Resources Research, 1995, 31(10): 2581-2591.
    • (1995) Water Resources Research , vol.31 , Issue.10 , pp. 2581-2591
    • Wagner, B.J.1
  • 39
    • 33745438549 scopus 로고    scopus 로고
    • Optimal groundwater remediation design using an Adaptive Neural Network Genetic Algorithm
    • Yan S Q, Minsker B. Optimal groundwater remediation design using an Adaptive Neural Network Genetic Algorithm. Water Resources Research, 2006. 42.
    • (2006) Water Resources Research , pp. 42
    • Yan, S.Q.1    Minsker, B.2
  • 41
    • 33748590276 scopus 로고    scopus 로고
    • Optimal network design for spatial prediction, covariance parameter estimation, and empirical prediction
    • Zimmerman D L. Optimal network design for spatial prediction, covariance parameter estimation, and empirical prediction. Environmetrics, 2006, 17: 635-652.
    • (2006) Environmetrics , vol.17 , pp. 635-652
    • Zimmerman, D.L.1
  • 42
    • 0031434534 scopus 로고    scopus 로고
    • Random sampling or geostatistical modelling? Choosing between design-based and model-based sampling strategies for soil
    • Brus D J, de Gruijter J J. Random sampling or geostatistical modelling? Choosing between design-based and model-based sampling strategies for soil (with discussion). Geoderma, 1997, 80: 1-44.
    • (1997) Geoderma , vol.80 , pp. 1-44
    • Brus, D.J.1    De Gruijter, J.J.2
  • 45
    • 0036936161 scopus 로고    scopus 로고
    • Spatial structure, sampling design and abundance estimates in sandy beach macroinfauna: Some warnings and new perspectives
    • Defeo O, Rueda M. Spatial structure, sampling design and abundance estimates in sandy beach macroinfauna: Some warnings and new perspectives. Marine Biology, 2002, 140(6): 1215-1225.
    • (2002) Marine Biology , vol.140 , Issue.6 , pp. 1215-1225
    • Defeo, O.1    Rueda, M.2
  • 46
    • 0037313039 scopus 로고    scopus 로고
    • Systematic sample design for the estimation of spatial means
    • Flores L A, Martinez L I, Ferrer C M. Systematic sample design for the estimation of spatial means. Environmetrics, 2003, 14(1): 45-61.
    • (2003) Environmetrics , vol.14 , Issue.1 , pp. 45-61
    • Flores, L.A.1    Martinez, L.I.2    Ferrer, C.M.3
  • 47
    • 9344229210 scopus 로고    scopus 로고
    • Model-based analysis using REML for inference from systematically sampled data on soil
    • Lark R M, Cullis B R. Model-based analysis using REML for inference from systematically sampled data on soil. European Journal of Soil Science, 2004, 55(4): 799-813.
    • (2004) European Journal of Soil Science , vol.55 , Issue.4 , pp. 799-813
    • Lark, R.M.1    Cullis, B.R.2
  • 48
    • 2942567603 scopus 로고    scopus 로고
    • To model or not to model? Competing modes of inference for finite population sampling
    • Little R J. To model or not to model? Competing modes of inference for finite population sampling. Journal of the American Statistical Association, 2004, 99: 546-556.
    • (2004) Journal of the American Statistical Association , vol.99 , pp. 546-556
    • Little, R.J.1
  • 49
    • 0028974027 scopus 로고
    • Estimating temporal change in soil monitoring: Sampling from simulated fields
    • Papritz A, Webster R. Estimating temporal change in soil monitoring: Sampling from simulated fields. European Journal of Soil Science, 1995, 46(1): 13-27.
    • (1995) European Journal of Soil Science , vol.46 , Issue.1 , pp. 13-27
    • Papritz, A.1    Webster, R.2
  • 50
    • 0029481361 scopus 로고
    • An application of the deterministic variogram to design-based variance estimation
    • Cordy C B, Thompson C M. An application of the deterministic variogram to design-based variance estimation. Mathematical Geology, 1995, 27: 173-205.
    • (1995) Mathematical Geology , vol.27 , pp. 173-205
    • Cordy, C.B.1    Thompson, C.M.2
  • 51
    • 67649222614 scopus 로고    scopus 로고
    • Time/space location sampling and its application in survey of outpatients visiting sexually transmitted diseases clinic
    • Jiang Baofa, Xu Xiaofei, Wang Jichuan. Time/space location sampling and its application in survey of outpatients visiting sexually transmitted diseases clinic. Chinese Journal of Health Statistics, 2003, 20(4): 502-702.
    • (2003) Chinese Journal of Health Statistics , vol.20 , Issue.4 , pp. 502-702
    • Baofa, J.1    Xiaofei, X.2    Jichuan, W.3
  • 52
    • 67649240719 scopus 로고    scopus 로고
    • Self-weighting sample design for the China's population changes survey
    • Jin Yongjin, Hou Zhiqiang. Self-weighting sample design for the China's population changes survey. Statistics & Information Forum, 2007, 22(4): 11-13.
    • (2007) Statistics & Information Forum , vol.22 , Issue.4 , pp. 11-13
    • Yongjin, J.1    Zhiqiang, H.2
  • 54
    • 0642360522 scopus 로고
    • Testing the hypothesis that two populations differ only in location
    • Sukhatme B V. Testing the hypothesis that two populations differ only in location. The Annals of Mathematical Statistics, 1958, 29(1): 60-78.
    • (1958) The Annals of Mathematical Statistics , vol.29 , Issue.1 , pp. 60-78
    • Sukhatme, B.V.1
  • 58
    • 67649171918 scopus 로고    scopus 로고
    • Optimization of decision-making for spatial sampling in remote sensing survey of land
    • Li Lianfa, Wang Jinfeng, Liu Jiyuan. Optimization of decision-making for spatial sampling in remote sensing survey of land. Science in China (Series D), 2004, (10): 975-982.
    • (2004) Science in China (Series D) , Issue.10 , pp. 975-982
    • Lianfa, L.1    Jinfeng, W.2    Jiyuan, L.3
  • 61
    • 67649228340 scopus 로고    scopus 로고
    • Sample survey methods and theory progress
    • Zhao Xuehui. Sample survey methods and theory progress. Statistics & Information Forum , 2003, 18(5): 42-72.
    • (2003) Statistics & Information Forum , vol.18 , Issue.5 , pp. 42-72
    • Xuehui, Z.1
  • 62
    • 67649215461 scopus 로고    scopus 로고
    • Determining the optimum sample plots for establishing canopy density estimating equation in monitoring area
    • Li Chonggui, Zhao Xianwen. Determining the optimum sample plots for establishing canopy density estimating equation in monitoring area. Journal of Beijing Forestry University, 2005. 27(6): 24-27.
    • (2005) Journal of Beijing Forestry University , vol.27 , Issue.6 , pp. 24-27
    • Chonggui, L.1    Xianwen, Z.2
  • 67
    • 0000495381 scopus 로고
    • Robust estimation of the variogram I
    • Cressie N, Hawkins D M. Robust estimation of the variogram I. Mathematical Geology, 1980, 12(2): 115-125.
    • (1980) Mathematical Geology , vol.12 , Issue.2 , pp. 115-125
    • Cressie, N.1    Hawkins, D.M.2
  • 68
    • 0027831849 scopus 로고
    • How large a sample is needed to estimate the regional variogram adequately?
    • Soares A (ed). Dordrecht: Kluwer Academic
    • Webster R, Oliver M A. How large a sample is needed to estimate the regional variogram adequately? In: Soares A (ed). Geostatistics Tro'ia '92. Dordrecht: Kluwer Academic, 1993, 155-165.
    • (1993) Geostatistics Tro'ia '92 , pp. 155-165
    • Webster, R.1    Oliver, M.A.2
  • 69
    • 0019735993 scopus 로고
    • Data requirements for Kriging: Estimation and network design
    • Hughes J P, Lettenmaier D P. Data requirements for Kriging: Estimation and network design. Water Resources Research, 1981, 17: 1641-1650.
    • (1981) Water Resources Research , vol.17 , pp. 1641-1650
    • Hughes, J.P.1    Lettenmaier, D.P.2
  • 70
    • 0021639361 scopus 로고
    • Design of an optimal sampling network for estimating the variogram
    • Russo D. Design of an optimal sampling network for estimating the variogram. Soil Science Society of America Journal, 1984, 48: 708-716.
    • (1984) Soil Science Society of America Journal , vol.48 , pp. 708-716
    • Russo, D.1
  • 73
    • 33747346162 scopus 로고
    • Variance components of crossbedding direction in some basal Pennsylvanian sandstones of the Eastern Interior Basin: Statistical methods
    • Olson J S, Potter P E. Variance components of crossbedding direction in some basal Pennsylvanian sandstones of the Eastern Interior Basin: statistical methods. Journal of Geology, 1954, 62: 26-49.
    • (1954) Journal of Geology , vol.62 , pp. 26-49
    • Olson, J.S.1    Potter, P.E.2
  • 75
    • 0001730509 scopus 로고
    • Efficiency of Kriging estimation for square, triangular, and hexagonal grids
    • Yfantis E A, Flatman G T, Behar J V. Efficiency of Kriging estimation for square, triangular, and hexagonal grids. Mathematical Geology, 1987, 19(3): 183-205.
    • (1987) Mathematical Geology , vol.19 , Issue.3 , pp. 183-205
    • Yfantis, E.A.1    Flatman, G.T.2    Behar, J.V.3
  • 76
    • 33747363497 scopus 로고    scopus 로고
    • Estimating the spatial scales of regionalized variables by nested sampling, hierarchical analysis of variance and residual maximum likelihood
    • Webster R et al. Estimating the spatial scales of regionalized variables by nested sampling, hierarchical analysis of variance and residual maximum likelihood. Computers & Geosciences, 2006, 32(9): 1320-1333.
    • (2006) Computers & Geosciences , vol.32 , Issue.9 , pp. 1320-1333
    • Webster, R.1
  • 78
    • 0036131357 scopus 로고    scopus 로고
    • Optimizing two- And three-stage designs for spatial inventories of natural resources by simulated annealing
    • Brus D J, Jansen M J W, Gruijter J J D. Optimizing two- and three-stage designs for spatial inventories of natural resources by simulated annealing. Environmental and Ecological Statistics, 2002, 9(1): 71-88.
    • (2002) Environmental and Ecological Statistics , vol.9 , Issue.1 , pp. 71-88
    • Brus, D.J.1    Jansen, M.J.W.2    Gruijter, J.J.D.3
  • 79
    • 15944387825 scopus 로고    scopus 로고
    • A study on sensitivity of spatial sampling designs to a priori discretization schemes
    • Bueso M C et al. A study on sensitivity of spatial sampling designs to a priori discretization schemes. Environmental Modelling & Software, 2005, 20(7): 891-902.
    • (2005) Environmental Modelling & Software , vol.20 , Issue.7 , pp. 891-902
    • Bueso, M.C.1
  • 80
    • 0034829811 scopus 로고    scopus 로고
    • Optimal adaptive selection of sampling sites
    • Chao C T, Thompson S K. Optimal adaptive selection of sampling sites. Environmetrics, 2001, 12: 517-538.
    • (2001) Environmetrics , vol.12 , pp. 517-538
    • Chao, C.T.1    Thompson, S.K.2
  • 81
    • 0034113779 scopus 로고    scopus 로고
    • Optimizing spatial sampling for multivariate contamination in urban areas
    • Van Groenigen J W, Pieters G, Stein A. Optimizing spatial sampling for multivariate contamination in urban areas. Environmetrics, 2000, 11(2): 227-244.
    • (2000) Environmetrics , vol.11 , Issue.2 , pp. 227-244
    • Van Groenigen, J.W.1    Pieters, G.2    Stein, A.3
  • 82
    • 0032932718 scopus 로고    scopus 로고
    • Constrained optimisation of soil sampling for minimisation of the kriging variance
    • Van Groenigen J W, Siderius W, Stein A. Constrained optimisation of soil sampling for minimisation of the kriging variance. Geoderma, 1999, 87: 239-259.
    • (1999) Geoderma , vol.87 , pp. 239-259
    • Van Groenigen, J.W.1    Siderius, W.2    Stein, A.3
  • 83
    • 33645102809 scopus 로고    scopus 로고
    • Model selection for geostatistical models
    • Hoeting J A et al. Model selection for geostatistical models. Ecological Applications, 2006, 16(1): 87-98.
    • (2006) Ecological Applications , vol.16 , Issue.1 , pp. 87-98
    • Hoeting, J.A.1
  • 84
    • 0034921821 scopus 로고    scopus 로고
    • Multiple-point variance analysis for optimal adjustment of a monitoring network
    • Lin Y P, Rouhani S. Multiple-point variance analysis for optimal adjustment of a monitoring network. Environmental Monitoring and Assessment, 2001, 69(3): 239-266.
    • (2001) Environmental Monitoring and Assessment , vol.69 , Issue.3 , pp. 239-266
    • Lin, Y.P.1    Rouhani, S.2
  • 85
    • 2542626143 scopus 로고    scopus 로고
    • Optimal sampling design for variables with varying spatial importance
    • Rogerson P A, Delmelle E, Batta R. Optimal sampling design for variables with varying spatial importance. Geographical Analysis, 2004, 36(2): 177-194.
    • (2004) Geographical Analysis , vol.36 , Issue.2 , pp. 177-194
    • Rogerson, P.A.1    Delmelle, E.2    Batta, R.3
  • 86
    • 13944281366 scopus 로고    scopus 로고
    • Geostatistical interpolation of object counts collected from multiple strip transects: Ordinary Kriging versus finite domain kriging
    • Saito H et al. Geostatistical interpolation of object counts collected from multiple strip transects: Ordinary Kriging versus finite domain kriging. Stochastic Environmental Research and Risk Assessment, 2005, 19(1): 71-85.
    • (2005) Stochastic Environmental Research and Risk Assessment , vol.19 , Issue.1 , pp. 71-85
    • Saito, H.1
  • 87
    • 33745232338 scopus 로고    scopus 로고
    • Sampling optimization based on secondary information and its utilization in soil carbon mapping
    • Simbahan G C, Dobermaan A. Sampling optimization based on secondary information and its utilization in soil carbon mapping. Geoderma, 2006, 133: 345-362.
    • (2006) Geoderma , vol.133 , pp. 345-362
    • Simbahan, G.C.1    Dobermaan, A.2
  • 88
    • 14944361381 scopus 로고    scopus 로고
    • Robustness in spatial studies II: Minimax design
    • Wiens D P. Robustness in spatial studies II: Minimax design. Environmetrics, 2005, 16(2): 205-217.
    • (2005) Environmetrics , vol.16 , Issue.2 , pp. 205-217
    • Wiens, D.P.1
  • 89
    • 0028974027 scopus 로고
    • Estimating temporal change in soil monitoring: 2. Sampling from simulated fields
    • Papritz A, Webster R. Estimating temporal change in soil monitoring: 2. Sampling from simulated fields. European Journal of Soil Science, 1995, 46(1): 13-27.
    • (1995) European Journal of Soil Science , vol.46 , Issue.1 , pp. 13-27
    • Papritz, A.1    Webster, R.2
  • 90
    • 0002768028 scopus 로고
    • Nonparametric geostatistics for risk and additional sampling assessment
    • American Chemical Society
    • Journel A G. Nonparametric geostatistics for risk and additional sampling assessment. In: Principles of Environmental Sampling. American Chemical Society, 1988: 45-72.
    • (1988) Principles of Environmental Sampling , pp. 45-72
    • Journel, A.G.1
  • 91
    • 0032168187 scopus 로고    scopus 로고
    • Constrained optimization of spatial sampling using continuous simulated annealing
    • Van Groenigen J W, Stein A. Constrained optimization of spatial sampling using continuous simulated annealing. Journal of Environmental Quality, 1998, 27: 1078-1086.
    • (1998) Journal of Environmental Quality , vol.27 , pp. 1078-1086
    • Van Groenigen, J.W.1    Stein, A.2
  • 92
    • 0030613137 scopus 로고    scopus 로고
    • Variable density grid-based sampling designs for continuous spatial populations
    • Stevens Jr D L. Variable density grid-based sampling designs for continuous spatial populations. Environmetrics, 1997, 8: 167-195.
    • (1997) Environmetrics , vol.8 , pp. 167-195
    • Stevens Jr., D.L.1
  • 94
    • 0028991019 scopus 로고
    • Efficiency of adaptive cluster sampling for estimating density of wintering waterfowl
    • Smith D R, Conroy M J, Brakhage D H. Efficiency of adaptive cluster sampling for estimating density of wintering waterfowl. Biometrics, 1995, 51: 777-788.
    • (1995) Biometrics , vol.51 , pp. 777-788
    • Smith, D.R.1    Conroy, M.J.2    Brakhage, D.H.3
  • 95
    • 0027130184 scopus 로고
    • Adaptive cluster sampling for forest inventories
    • Roesch F A Jr. Adaptive cluster sampling for forest inventories. Forest Science, 1993, 39: 655-669.
    • (1993) Forest Science , vol.39 , pp. 655-669
    • Roesch Jr., F.A.1
  • 96
    • 0029668949 scopus 로고    scopus 로고
    • Adaptive cluster sampling based on order statistics
    • Thompson S K. Adaptive cluster sampling based on order statistics. Environmetrics, 1996, 7: 123-133
    • (1996) Environmetrics , vol.7 , pp. 123-133
    • Thompson, S.K.1
  • 97
    • 0034113779 scopus 로고    scopus 로고
    • Optimizing spatial sampling for multivariate contamination in urban areas
    • van Groenigen J W, Pieters G, Stein A. Optimizing spatial sampling for multivariate contamination in urban areas. Environmetrics, 2000, 11(2): 227-244.
    • (2000) Environmetrics , vol.11 , Issue.2 , pp. 227-244
    • Van Groenigen, J.W.1    Pieters, G.2    Stein, A.3
  • 98
    • 18544389568 scopus 로고    scopus 로고
    • Complementary co-kriging: Spatial prediction using data combined from several environmental monitoring networks
    • Zimmerman D L, Holland D M. Complementary co-kriging: Spatial prediction using data combined from several environmental monitoring networks Environmetrics, 2005, 16(3): 219-234.
    • (2005) Environmetrics , vol.16 , Issue.3 , pp. 219-234
    • Zimmerman, D.L.1    Holland, D.M.2
  • 99
    • 0010659574 scopus 로고
    • Some aspects of detection networks optimization with the kriging procedure
    • Bertolino F, Luciano A, Racugno W. Some aspects of detection networks optimization with the kriging procedure. Metron, 1983, 41(3): 91-107.
    • (1983) Metron , vol.41 , Issue.3 , pp. 91-107
    • Bertolino, F.1    Luciano, A.2    Racugno, W.3
  • 100
    • 0036741035 scopus 로고    scopus 로고
    • Kriging method evaluation for assessing the spatial distribution of urban soil lead contamination
    • Cattle J A, McBratney A B, Minasny B. Kriging method evaluation for assessing the spatial distribution of urban soil lead contamination. Journal of Environmental Quality, 2002, 31(5): 1576-1588.
    • (2002) Journal of Environmental Quality , vol.31 , Issue.5 , pp. 1576-1588
    • Cattle, J.A.1    McBratney, A.B.2    Minasny, B.3
  • 101
    • 0036470460 scopus 로고    scopus 로고
    • Applications of the local estimation of the probability distribution function in environmental sciences by kriging methods
    • Chica-Olmo M, Luque-Espinar J A. Applications of the local estimation of the probability distribution function in environmental sciences by kriging methods. Inverse Problems, 2002, 18(1): 25-36.
    • (2002) Inverse Problems , vol.18 , Issue.1 , pp. 25-36
    • Chica-Olmo, M.1    Luque-Espinar, J.A.2
  • 102
    • 33745813878 scopus 로고    scopus 로고
    • A disjunctive Kriging program for assessing point-support conditional distributions
    • Emery X. A disjunctive Kriging program for assessing point-support conditional distributions. Computers & Geosciences, 2006, 32(7): 965-983.
    • (2006) Computers & Geosciences , vol.32 , Issue.7 , pp. 965-983
    • Emery, X.1
  • 103
    • 0034897555 scopus 로고    scopus 로고
    • A high frequency Kriging approach for non-stationary environmental processes
    • Fuentes M. A high frequency Kriging approach for non-stationary environmental processes. Environmetrics, 2001, 12 (2): 469-483.
    • (2001) Environmetrics , vol.12 , Issue.2 , pp. 469-483
    • Fuentes, M.1
  • 104
    • 29644435616 scopus 로고    scopus 로고
    • Defining probability of saturation with indicator kriging on hard and soft data
    • Lyon S W et al. Defining probability of saturation with indicator kriging on hard and soft data. Advances in Water Resources, 2006, 29(2): 181-193.
    • (2006) Advances in Water Resources , vol.29 , Issue.2 , pp. 181-193
    • Lyon, S.W.1
  • 105
    • 8644252040 scopus 로고    scopus 로고
    • Map quality for ordinary Kriging and inverse distance weighted interpolation
    • Muller T G et al. Map quality for ordinary Kriging and inverse distance weighted interpolation. Nutrient Management & Soil & Plant Analysis, 2004, 68: 2042-2047.
    • (2004) Nutrient Management & Soil & Plant Analysis , vol.68 , pp. 2042-2047
    • Muller, T.G.1
  • 106
    • 4644239136 scopus 로고    scopus 로고
    • Mapping of salinity risk in the lower Namoi valley using non-linear kriging methods
    • Triantafilis J et al. Mapping of salinity risk in the lower Namoi valley using non-linear kriging methods. Agricultural Water Management, 2004, 69(3): 203-229.
    • (2004) Agricultural Water Management , vol.69 , Issue.3 , pp. 203-229
    • Triantafilis, J.1
  • 107
    • 0038016510 scopus 로고    scopus 로고
    • Kriging and PAH pollution assessment in the topsoil of Tianjin area
    • Wang X J et al. Kriging and PAH pollution assessment in the topsoil of Tianjin area. Bulletin of Environmental Contamination and Toxicology, 2003, 71(1): 189-195.
    • (2003) Bulletin of Environmental Contamination and Toxicology , vol.71 , Issue.1 , pp. 189-195
    • Wang, X.J.1
  • 108
    • 33745094821 scopus 로고    scopus 로고
    • Designing an optimal multivariate geostatistical groundwater quality monitoring network using factorial kriging and genetic algorithms
    • Yeh M S, Lin Y P, Chang L C. Designing an optimal multivariate geostatistical groundwater quality monitoring network using factorial kriging and genetic algorithms. Environmental Geology, 2006, 50(1): 101-121.
    • (2006) Environmental Geology , vol.50 , Issue.1 , pp. 101-121
    • Yeh, M.S.1    Lin, Y.P.2    Chang, L.C.3
  • 109
    • 0023524169 scopus 로고
    • Optimization of sampling locations for variogram calculations
    • Warrick A W, Myers D E. Optimization of sampling locations for variogram calculations. Water Resources Research, 1987, 23(3): 496-500.
    • (1987) Water Resources Research , vol.23 , Issue.3 , pp. 496-500
    • Warrick, A.W.1    Myers, D.E.2
  • 110
    • 67649222613 scopus 로고    scopus 로고
    • Spatial simulated annealing for optimizing sampling
    • Soares A, Gomez-Hernandez J, Froidevaux R (eds). Lisbon, Portugal: Kluwer Academic Publishers
    • Groenigen J W. Spatial simulated annealing for optimizing sampling. In: Soares A, Gomez-Hernandez J, Froidevaux R (eds). GeoENV I: Geostatistics for Environmental Applications. Lisbon, Portugal: Kluwer Academic Publishers, 1997. 351-361.
    • (1997) GeoENV I: Geostatistics for Environmental Applications , pp. 351-361
    • Groenigen, J.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.