<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/E3148B31-4385-4C59-8375-3FFE823CC74B"><efrbr-work:titleOfTheWork>Spatial downscaling of alien species presences using machine learning</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/E3148B31-4385-4C59-8375-3FFE823CC74B"><efrbr-expression:titleOfTheExpression>Spatial downscaling of alien species presences using machine learning</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Peer-Reviewed Journal Publication
            Δημοσίευση σε Περιοδικό με Κριτές
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2018-04-23</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2017</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>Spatially explicit assessments of alien species environmental and socio-economic impacts, and subsequent management interventions for their mitigation, require large scale, high-resolution data on species presence distribution. However, these data are often unavailable. This paper presents a method that relies on Random Forest (RF) models to distribute alien species presence counts at a finer resolution grid, thus achieving spatial downscaling. A bootstrapping scheme is designed to account for sub-setting uncertainty, and subsets are used to train a sufficiently large number of RF models. RF results are processed to estimate variable importance and model performance. The methodis testedwith an ∼8 ×8km2 gridcontaining floral alien species presence and several potentially exploratory indices of climatic, habitat, land use, and soil property covariates for the Mediterranean island of Crete, Greece. Alien species presence is aggregated at 16 × 16 km2 and used as a predictor of presence at the original resolution, thus simulating spatial downscaling. Uncertainty assessment of the spatial downscaling of alien species’ occurrences was also performed and true/false presences and absences were quantified. The approach is promising for downscaling alien species datasets of larger spatial scale but coarse resolution, where the underlying environmental information is available at a finer resolution. Furthermore, the RF architecture allows for tuning toward operationally optimal sensitivity and specificity, thus providing a decision support tool for designing a resource efficient alien species census.</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="journal name">Frontiers in Earth Science</efrbr-expression:note><efrbr-expression:note type="journal volume">5</efrbr-expression:note></efrbr-expression:expression><efrbr-manifestation:manifestation identifier="http://purl.tuc.gr/dl/dias/51A63CAF-D528-4DC8-B878-B773F3A69AD2"><efrbr-manifestation:titleOfTheManifestation>Daliakopoulos_et_al_Frontiers in Earth Science_5_2017.pdf</efrbr-manifestation:titleOfTheManifestation><efrbr-manifestation:publicationDistribution><efrbr-manifestation:placeOfPublicationDistribution type="distribution">Chania [Greece]</efrbr-manifestation:placeOfPublicationDistribution><efrbr-manifestation:publisherDistributor type="distributor">Library of TUC</efrbr-manifestation:publisherDistributor><efrbr-manifestation:dateOfPublicationDistribution>2018-04-23</efrbr-manifestation:dateOfPublicationDistribution></efrbr-manifestation:publicationDistribution><efrbr-manifestation:formOfCarrier>application/pdf</efrbr-manifestation:formOfCarrier><efrbr-manifestation:extentOfTheCarrier>2.0 MB</efrbr-manifestation:extentOfTheCarrier><efrbr-manifestation:accessRestrictionsOnTheManifestation>free</efrbr-manifestation:accessRestrictionsOnTheManifestation></efrbr-manifestation:manifestation><efrbr-person:person identifier="http://users.isc.tuc.gr/~gdaliakopoulos"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Daliakopoulos Ioannis
            Δαλιακοπουλος Ιωαννης
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://users.isc.tuc.gr/~skatsanevakis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Katsanevakis Spyros
            Κατσανεβακης Σπυρος
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            Moustakas, Aristidis
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            Frontiers Media
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            Alien species
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="5AE0140B-D325-4E32-BBBF-A525691C4C2D"><efrbr-concept:termForTheConcept>
            Crete
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="C6BAC85C-8F81-430C-8FAC-3E059CFA6411"><efrbr-concept:termForTheConcept>
            Data analytics
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            Downscaling
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="72FCB8BF-0B14-45DB-86C8-2A3F4D08A459"><efrbr-concept:termForTheConcept>
            Hydro-ecological data
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="A9CCA2D2-60E6-48F2-B11A-62087D878230"><efrbr-concept:termForTheConcept>
            Random forests
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            Vascular plants
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