FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3126191317> ?p ?o ?g. }

• W3126191317 endingPage "e00368" @default.
• W3126191317 startingPage "e00368" @default.
• W3126191317 abstract "There is a growing interest in the use of soil composition as a form of evidence in food provenance, forensics, biosecurity, and archaeology. Given a soil sample of unknown origin, we should like to know the likely geographical source of that material. In this study, we investigated whether data provided from a rapid and non-destructive sensor can be used to identify the provenance of a soil sample. A portable X-ray fluorescence (pXRF) spectrometer was used to measure the elemental abundance of 0–10 cm soil samples from a part of the Lower Hunter Valley, NSW, Australia (an area of 328 km2). Three methods, namely, two similarity methods (points of similarity and regions of similarity) based on distances to the unlocated specimen in the principal component (PC) space of the geochemical data, and an artificial neural network (ANN) method, effectively an inverse digital soil mapping (DSM) approach, which predicts location from the set of geochemical variables, were tested to determine the provenance of soil samples. In the PC approach, digital soil maps of the PC scores of eight major elements and two elemental ratios were created. The locations predicted by the PC approach seemed to follow the pattern of topography. In the ANN approach, the geographical coordinates (Eastings and Northings) of a sample were predicted simultaneously using the elemental concentrations and ratios. Using maps of elemental concentration classes (regions of similarity based on PC) provided a mean RMSE of 8.6 km for the 147 validation samples. The different effects of identification of geographical locations were compared using a 95% spatial confidence interval of prediction on a validation dataset. The points of similarity based on PC approach showed that the predicted search areas can capture 59% of the true locations of the test data. Meanwhile, the ANN approach can capture 69% of the true locations of the data. The mean RMSE for ANN prediction (2.8 km) was smaller than that for points of similarity prediction (4.3 km). Both soil provenancing approaches are potentially useful in identifying geographical areas of origin or similarity." @default.
• W3126191317 created "2021-02-15" @default.
• W3126191317 creator A5001881140 @default.
• W3126191317 creator A5049220423 @default.
• W3126191317 creator A5051455406 @default.
• W3126191317 date "2021-06-01" @default.
• W3126191317 modified "2023-10-03" @default.
• W3126191317 title "Identifying soil provenance based on portable X-ray fluorescence measurements using similarity and inverse-mapping approaches – A case in the Lower Hunter Valley, Australia" @default.
• W3126191317 cites W1592341820 @default.
• W3126191317 cites W1605376335 @default.
• W3126191317 cites W186329053 @default.
• W3126191317 cites W1893422047 @default.
• W3126191317 cites W1965203120 @default.
• W3126191317 cites W1983607893 @default.
• W3126191317 cites W1993002863 @default.
• W3126191317 cites W2013758976 @default.
• W3126191317 cites W2026382480 @default.
• W3126191317 cites W2054325787 @default.
• W3126191317 cites W2079545340 @default.
• W3126191317 cites W2106812540 @default.
• W3126191317 cites W2122014250 @default.
• W3126191317 cites W2130269771 @default.
• W3126191317 cites W2136235890 @default.
• W3126191317 cites W2215385823 @default.
• W3126191317 cites W2261067204 @default.
• W3126191317 cites W2890650850 @default.
• W3126191317 cites W2898588733 @default.
• W3126191317 cites W2911292468 @default.
• W3126191317 cites W2911944559 @default.
• W3126191317 cites W2911964244 @default.
• W3126191317 cites W2915755045 @default.
• W3126191317 cites W2951230751 @default.
• W3126191317 cites W2959753669 @default.
• W3126191317 cites W2972050955 @default.
• W3126191317 cites W3093435253 @default.
• W3126191317 cites W4211056572 @default.
• W3126191317 cites W4238617737 @default.
• W3126191317 doi "https://doi.org/10.1016/j.geodrs.2021.e00368" @default.
• W3126191317 hasPublicationYear "2021" @default.
• W3126191317 type Work @default.
• W3126191317 sameAs 3126191317 @default.
• W3126191317 citedByCount "4" @default.
• W3126191317 countsByYear W31261913172022 @default.
• W3126191317 countsByYear W31261913172023 @default.
• W3126191317 crossrefType "journal-article" @default.
• W3126191317 hasAuthorship W3126191317A5001881140 @default.
• W3126191317 hasAuthorship W3126191317A5049220423 @default.
• W3126191317 hasAuthorship W3126191317A5051455406 @default.
• W3126191317 hasConcept C103278499 @default.
• W3126191317 hasConcept C104471815 @default.
• W3126191317 hasConcept C105795698 @default.
• W3126191317 hasConcept C115961682 @default.
• W3126191317 hasConcept C127313418 @default.
• W3126191317 hasConcept C152494472 @default.
• W3126191317 hasConcept C154945302 @default.
• W3126191317 hasConcept C159390177 @default.
• W3126191317 hasConcept C159750122 @default.
• W3126191317 hasConcept C185592680 @default.
• W3126191317 hasConcept C198531522 @default.
• W3126191317 hasConcept C27438332 @default.
• W3126191317 hasConcept C2780049196 @default.
• W3126191317 hasConcept C33923547 @default.
• W3126191317 hasConcept C39432304 @default.
• W3126191317 hasConcept C41008148 @default.
• W3126191317 hasConcept C43617362 @default.
• W3126191317 hasConcept C50516716 @default.
• W3126191317 hasConcept C5900021 @default.
• W3126191317 hasConcept C62649853 @default.
• W3126191317 hasConceptScore W3126191317C103278499 @default.
• W3126191317 hasConceptScore W3126191317C104471815 @default.
• W3126191317 hasConceptScore W3126191317C105795698 @default.
• W3126191317 hasConceptScore W3126191317C115961682 @default.
• W3126191317 hasConceptScore W3126191317C127313418 @default.
• W3126191317 hasConceptScore W3126191317C152494472 @default.
• W3126191317 hasConceptScore W3126191317C154945302 @default.
• W3126191317 hasConceptScore W3126191317C159390177 @default.
• W3126191317 hasConceptScore W3126191317C159750122 @default.
• W3126191317 hasConceptScore W3126191317C185592680 @default.
• W3126191317 hasConceptScore W3126191317C198531522 @default.
• W3126191317 hasConceptScore W3126191317C27438332 @default.
• W3126191317 hasConceptScore W3126191317C2780049196 @default.
• W3126191317 hasConceptScore W3126191317C33923547 @default.
• W3126191317 hasConceptScore W3126191317C39432304 @default.
• W3126191317 hasConceptScore W3126191317C41008148 @default.
• W3126191317 hasConceptScore W3126191317C43617362 @default.
• W3126191317 hasConceptScore W3126191317C50516716 @default.
• W3126191317 hasConceptScore W3126191317C5900021 @default.
• W3126191317 hasConceptScore W3126191317C62649853 @default.
• W3126191317 hasFunder F4320334704 @default.
• W3126191317 hasLocation W31261913171 @default.
• W3126191317 hasOpenAccess W3126191317 @default.
• W3126191317 hasPrimaryLocation W31261913171 @default.
• W3126191317 hasRelatedWork W1861720242 @default.
• W3126191317 hasRelatedWork W1974281756 @default.
• W3126191317 hasRelatedWork W1995069614 @default.
• W3126191317 hasRelatedWork W2004569481 @default.
• W3126191317 hasRelatedWork W2071050690 @default.
• W3126191317 hasRelatedWork W2089466063 @default.

• next