{"refrec":{"BRefID":281997,"RR":"<b>Lyashevska, O.; Brus, D.J.; Van der Meer, J.</b> (2016). Grid-spacing and the quality of abundance maps for species that show spatial autocorrelation and zero-inflation. <i>Spatial Statistics 18(Part B)</i>: 386–395. <a href=\"http://dx.doi.org/10.1016/j.spasta.2016.08.001\" target=\"_blank\">dx.doi.org/10.1016/j.spasta.2016.08.001</a>","BEntID":274016,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":null,"RefStringPartII":". <i>Spatial Statistics 18(Part B)</i>: 386–395. <a href=\"https://dx.doi.org/10.1016/j.spasta.2016.08.001\" target=\"_blank\">https://dx.doi.org/10.1016/j.spasta.2016.08.001</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Lyashevska, O.; Brus, D.J.; Van der Meer, J.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Lyashevska, O. <i>et al.</i>","Englishabstract":"The effect of grid-spacing on the quality of species abundance maps is explored for species that show zero-inflation and spatial autocorrelation. Using a zero-inflated Poisson mixture model multiple fields of the prevalence parameter ππ and the intensity parameter μμ were simulated. A selected field was sampled by grid-sampling with 200, 400, 800, 1600, and 3200 m grid-spacing and used to predict at a fixed set of validation locations by simple kriging with an external drift. The external drift variables were silt, silt squared and altitude. The estimated sampling distribution of MSE against grid-spacing shows that beyond a spacing of 1600 m the mean of MSE increases at a much faster rate. Based on these findings the 1600 m grid which consists of 446 locations for our study area of 2400 km2 gives a compromise between sampling costs and prediction accuracy.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Grid-spacing and the quality of abundance maps for species that show spatial autocorrelation and zero-inflation","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:33:17.368041","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"    Count data; Generalized linear geostatistical modelling; Autocorrelation; Zero-inflation; Grid-spacing","OtherDescriptors":null,"Notes":null,"AnaPub":2016,"MonPub":null,"DateUpdate":"2019-05-27","DateCreate":"2016-12-15","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000393232900004","VABBcode":null,"OpenAcc":1,"DOI":"10.1016/j.spasta.2016.08.001"},"refs":null,"anarec":{"AnaID":281997,"PubliDate":2016,"Pagination":"386–395","XtraPublOfAnaID":null,"ISBN":null,"Volume":"18","Issue":"Part B","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":278762,"SerRR":"Spatial Statistics. 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