{"paper":{"title":"A multivariate spatial interpolation of airborne {\\gamma}-ray data using the geological constraints","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.geo-ph","authors_text":"A. Caciolli, A. Zanon, Carmignani L., C. Broggini, C. Rossi Alvarez, E. Guastaldi, F. Mantovani, G. Fiorentini, G. Massa, G. P. Bezzon, G. P. Buso, G. Xhixha, I. Callegari, K. Dule, L. Mou, M. Baldoncini, M. Ka\\c{c}eli Xhixha, R. Menegazzo, T. Colonna, V. Strati","submitted_at":"2013-06-20T11:53:16Z","abstract_excerpt":"In this paper we present maps of K, eU, and eTh abundances of Elba Island (Italy) obtained with a multivariate spatial interpolation of airborne {\\gamma}-ray data using the constraints of the geologic map. The radiometric measurements were performed by a module of four NaI(Tl) crystals of 16 L mounted on an autogyro. We applied the collocated cokriging (CCoK) as a multivariate estimation method for interpolating the primary under-sampled airborne {\\gamma}-ray data considering the well-sampled geological information as ancillary variables. A random number has been assigned to each of 73 geologi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1306.4834","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}