Infill sampling criteria to locate extremes

Three problem-dependent meanings for engineering “extremes” are motivated, established, and translated into formal geostatistical (model-based) criteria for designing infill sample networks. (1) Locate an area within the domain of interest where a specified threshold is exceeded, if such areas exist. (2) Locate the maximum value in the domain of interest. (3) Minimize the chance of areas where values are significantly different from predicted values. An example application on a simulated dataset demonstrates how such purposive design criteria might affect practice.

[1]  R. Webster,et al.  Optimal interpolation and isarithmic mapping of soil properties. II. Block kriging. , 1980 .

[2]  Clayton V. Deutsch,et al.  GSLIB: Geostatistical Software Library and User's Guide , 1993 .

[3]  Thomas Herbert Naylor Computer Simulation Techniques , 1966 .

[4]  A. McBratney,et al.  DPTIMAL INTERPOLATION AND ISARITHMIC MAPPING OF SOIL PROPERTIES. IV SAMPLING STRATEGY , 1981 .

[5]  F. Alabert,et al.  Non-Gaussian data expansion in the Earth Sciences , 1989 .

[6]  Lucien Duckstein,et al.  The worth of hydrologic data for nonoptimal decision making , 1979 .

[7]  Emil D. Attanasi,et al.  Worth of data and natural disaster insurance , 1979 .

[8]  Peter K. Kitanidis,et al.  Sequential sampling to contour an uncertain function , 1982 .

[9]  Donald R. Davis,et al.  Evaluation of the Worth of Additional Data , 1971 .

[10]  Noel A Cressie,et al.  Statistics for Spatial Data. , 1992 .

[11]  Lucien Duckstein,et al.  EFFICIENCY OF HYDROLOGIC DATA COLLECTION SYSTEMS ROLE OF TYPE I AND II ERRORS1 , 1971 .

[12]  S. Rouhani Variance Reduction Analysis , 1985 .

[13]  Randal J. Barnes,et al.  Sample Design for Geologic Site Characterization , 1989 .

[14]  Randal J. Barnes,et al.  Infill-sampling design and the Cost of classification errors , 1990 .

[15]  Rafael L. Bras,et al.  Time‐averaged areal mean of precipitation: Estimation and network design , 1978 .

[16]  G. Matheron,et al.  Disjunctive kriging revisited: Part I , 1986 .

[17]  A. Journel Nonparametric estimation of spatial distributions , 1983 .

[18]  David R. Dawdy,et al.  The worth of hydrologic data , 1979 .

[19]  Randal J. Barnes,et al.  Efficient updating of kriging estimates and variances , 1992 .

[20]  Alex B. McBratney,et al.  Optimal interpolation and isarithmic mapping of soil properties .4. Sampling strategy , 1981 .

[21]  Ignacio Rodriguez-Iturbe,et al.  Network design for the estimation of areal mean of rainfall events , 1976 .

[22]  Ignacio Rodriguez-Iturbe,et al.  Rainfall network design for runoff prediction , 1976 .

[23]  I. Rodríguez‐Iturbe,et al.  The design of rainfall networks in time and space , 1974 .