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dc.contributor.authorGonzález Villa, Javier 
dc.contributor.authorCruz Rodríguez, Marcos 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2020-02-18T11:56:12Z
dc.date.available2020-02-18T11:56:12Z
dc.date.issued2020-02
dc.identifier.issn1600-0587
dc.identifier.issn0906-7590
dc.identifier.otherAYA-2015-66357-R
dc.identifier.urihttp://hdl.handle.net/10902/18190
dc.description.abstractPopulation size estimation is essential in ecology and conservation studies. Aerial photography can facilitate this laborious task with high resolution images. However, in images with thousands of individuals exhaustive manual counting is tedious, slow and difficult to verify. Computer vision software may work under some particular conditions but they are generally biased and known to fail in several situations. The CountEm software is a simple alternative based on geometric sampling. It provides a fast and unbiased size estimation for all sorts of populations. The only requirement is that the discrete objects (e.g. animals) in the target population are unambiguously distinguishable for counting in a still image. Typical relative standard errors in the 5?10% range are obtained after counting ~200 properly sampled animals in about 5?min irrespective of population size. The CountEm ver. 1.4.1 is presented here, which includes a guided mode with a simple software interface.es_ES
dc.description.sponsorshipMC acknowledges financial support from the AYA-2015-66357-R (MINECO/FEDER) project.es_ES
dc.format.extent5 p.es_ES
dc.language.isoenges_ES
dc.publisherWileyes_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.sourceEcography 43:251-255,2020es_ES
dc.subject.otherCountEmes_ES
dc.subject.otherGeometric samplinges_ES
dc.subject.otherPopulation size estimationes_ES
dc.subject.otherPopulation monitoringes_ES
dc.subject.otherQuadratses_ES
dc.subject.otherWildlife managementes_ES
dc.titleThe CountEm software: simple, efficient and unbiased population size estimationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1111/ecog.04862es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1111/ecog.04862
dc.type.versionpublishedVersiones_ES


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Atribución 3.0 EspañaExcepto si se señala otra cosa, la licencia del ítem se describe como Atribución 3.0 España