Thank you very much Tom. Manuel
El mié, 3 mar 2021 a las 15:35, Philippi, Tom (<tom_phili...@nps.gov>) escribió: > Manuel-- > I apologize in advance for not answering the exact question you ask about > packages. [It is included in some geostatistics packages in terms of > semivariance, nugget, sill, etc.] > > In ecological data, time to independence is very scale dependent. There's > autocorrelation at scales of seconds due to instrument > temperature-dependence if that hasn't been calibrated for, or the same > individuals in the camera trap frame. That component of dependence may > have a half-life of minutes. There's often autocorrelation based on time > of day & temperature, with cycles of 24 hours. There may be pulse events > from storms that persist a few days. There's seasonality driving > temperatures, day lengths, and plant & animal behavior, with cycles of 1 > year. Then where I live there are ENSO-driven temporal dependence at > scales of 1.5 - 3 years, PDO at about a decade, and ENSO-La Nina dominated > periods of 4-6 decades that drive not just ocean ecology, but rainfall & > thus terrestrial ecology. Then there's tends up to climate change. > > So, in my experience in optimizing sampling designs for monitoring for > trends, the majority of the temporal dependence is driven by cycles or > pulses of characteristic duration, and that is more useful for determining > the sampling frequency than empirical estimation form a "continuous" > datastream of limited duration. That approach also helps me think about > the spatial concordance of the correlated errors: which are site-specific, > which are concordant across all of the sites. > > Tom > > -----Original Message----- > From: R-sig-ecology <r-sig-ecology-boun...@r-project.org> On Behalf Of > Manuel Spínola > Sent: Wednesday, March 3, 2021 1:06 PM > To: r-sig-ecology@r-project.org > Subject: [EXTERNAL] [R-sig-eco] Time to Independence in R > > > > This email has been received from outside of DOI - Use caution before > clicking on links, opening attachments, or responding. > > > > Dear list members, > > It is common in ecology to sampling in almost a continuous manner when > using data loggers, camera traps, sound recorders, gps radio-collars. etc. > > Is there any R package to assess time to independence for the data to > avoid temporal autocorrelation? > > I know that there are models to take into account the temporal > autocorrelation of the data, but I am asking to optimize the data > collection, before modeling. > > Thank you very much in advance. > > Manuel > > -- > *Manuel Spínola, Ph.D.* > Instituto Internacional en Conservación y Manejo de Vida Silvestre > Universidad Nacional Apartado 1350-3000 Heredia COSTA RICA mspin...@una.cr > <mspin...@una.ac.cr> mspinol...@gmail.com > Teléfono: (506) 8706 - 4662 > Personal website: Lobito de río < > https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fsite%2Flobitoderio%2F&data=04%7C01%7Ctom_philippi%40nps.gov%7C7c92bae61c0d458d045908d8de8881b0%7C0693b5ba4b184d7b9341f32f400a5494%7C0%7C0%7C637504025171590082%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=qTaPgnDdCNuCtww7koY%2F7StrjYRczIa2YNZiNveJo%2FQ%3D&reserved=0 > > > Institutional website: ICOMVIS < > https://gcc02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.icomvis.una.ac.cr%2F&data=04%7C01%7Ctom_philippi%40nps.gov%7C7c92bae61c0d458d045908d8de8881b0%7C0693b5ba4b184d7b9341f32f400a5494%7C0%7C0%7C637504025171600039%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=X589QmEcCyNjUYSFnebVym2vx6pn%2Fyg5oyX8vZ0fSOQ%3D&reserved=0 > > > > [[alternative HTML version deleted]] > > _______________________________________________ > R-sig-ecology mailing list > R-sig-ecology@r-project.org > > https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstat.ethz.ch%2Fmailman%2Flistinfo%2Fr-sig-ecology&data=04%7C01%7Ctom_philippi%40nps.gov%7C7c92bae61c0d458d045908d8de8881b0%7C0693b5ba4b184d7b9341f32f400a5494%7C0%7C0%7C637504025171600039%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=kPnj2hOk7NHbscFpSMuSkQvqrVBymYw2Eb7XeSrmDp0%3D&reserved=0 > -- *Manuel Spínola, Ph.D.* Instituto Internacional en Conservación y Manejo de Vida Silvestre Universidad Nacional Apartado 1350-3000 Heredia COSTA RICA mspin...@una.cr <mspin...@una.ac.cr> mspinol...@gmail.com Teléfono: (506) 8706 - 4662 Personal website: Lobito de río <https://sites.google.com/site/lobitoderio/> Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/> [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
