Item talk:Q262801

{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "Article",
   "additionalType": "Journal Article",
   "name": "Compensating for estimation smoothing in kriging",
   "identifier": [
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse IndexID",
       "value": "70018681",
       "url": "https://pubs.usgs.gov/publication/70018681"
     },
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse Internal ID",
       "value": 70018681
     },
     {
       "@type": "PropertyValue",
       "propertyID": "DOI",
       "value": "10.1007/BF02083653",
       "url": "https://doi.org/10.1007/BF02083653"
     },
     {
       "@type": "PropertyValue",
       "propertyID": "ISSN",
       "value": "08828121"
     }
   ],
   "journal": {
     "@type": "Periodical",
     "name": "Mathematical Geology",
     "volumeNumber": "28",
     "issueNumber": "4"
   },
   "inLanguage": "en",
   "isPartOf": [
     {
       "@type": "CreativeWorkSeries",
       "name": "Mathematical Geology"
     }
   ],
   "datePublished": "1996",
   "dateModified": "2013-03-01",
   "abstract": "Smoothing is a characteristic inherent to all minimum mean-square-error spatial estimators such as kriging. Cross-validation can be used to detect and model such smoothing. Inversion of the model produces a new estimator-compensated kriging. A numerical comparison based on an exhaustive permeability sampling of a 4-fr2 slab of Berea Sandstone shows that the estimation surface generated by compensated kriging has properties intermediate between those generated by ordinary kriging and stochastic realizations resulting from simulated annealing and sequential Gaussian simulation. The frequency distribution is well reproduced by the compensated kriging surface, which also approximates the experimental semivariogram well - better than ordinary kriging, but not as well as stochastic realizations. Compensated kriging produces surfaces that are more accurate than stochastic realizations, but not as accurate as ordinary kriging. ?? 1996 International Association for Mathematical Geology.",
   "publisher": {
     "@type": "Organization",
     "name": "Springer"
   },
   "author": [
     {
       "@type": "Person",
       "name": "Olea, Ricardo A.",
       "givenName": "Ricardo A.",
       "familyName": "Olea",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0003-4308-0808",
         "url": "https://orcid.org/0000-0003-4308-0808"
       },
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Eastern Energy Resources Science Center",
           "url": "https://www.usgs.gov/centers/geology-energy-and-minerals-science-center"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Pawlowsky, Vera",
       "givenName": "Vera",
       "familyName": "Pawlowsky"
     }
   ]
 }

}