Comparing Machine Learning Models and Hybrid Geostatistical Methods Using Environmental and Soil Covariates for Soil pH Prediction

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datacite.relatedItem.firstPage276
datacite.relatedItem.issue4
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume9
dc.contributor.authorPanagiotis Tziachris
dc.contributor.authorVassilis Aschonitis
dc.contributor.authorTheocharis Chatzistathis
dc.contributor.authorMaria Papadopoulou
dc.contributor.authorIoannis (John) D. Doukas
dc.date.accessioned2025-05-14T16:14:02Z
dc.date.available2025-05-14T16:14:02Z
dc.date.issued2020
dc.identifier.doihttps://doi.org/10.3390/ijgi9040276
dc.identifier.otherjz000157-0274
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/30704
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleComparing Machine Learning Models and Hybrid Geostatistical Methods Using Environmental and Soil Covariates for Soil pH Prediction
dc.typeArticle
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