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Hi all, I have a few geolocator files that I have not been able to process ( The location estimates are scattered all across the specified grid) and I believe it has something to do with the plot_slopes_by_location function. I know that this function is just to determine whenever the bird leaves the study site, however, in the graph it revealed that there are no dusk estimates after September (see attached picture). All of the geolocators that I have been unable to analyze have this similar problem. I'm not sure if that's actually the root of my problems or if its something else, this is just my best guess. Is anybody aware if this could be the problem and if it is is there anyway to correct for this problem? Thanks, Devin -
<To be thaught in spanish> El Área de Ornitología del Museo de Historia Natural de la Universidad Nacional de San Agustín (MUSA) organiza e invita a estudiantes, profesionales y a la comunidad en general al I Taller en bioacústica: Análisis de sonidos animales en R Instructor: Marcelo Araya Salas, biólogo evolutivo/ecólogo del comportamiento y programador en el lenguaje R. Su trabajo se ha enfocado en comprender los procesos evolutivos y culturales que han han moldeado el comportamiento vocal, teniendo como grupo principal de estudio los cantos aprendidos en colibries. Actualmente trabaja como investigador postdoctoral en la Universidad de Costa Rica Pagina del curso: https://marceloarayasalas.weebly.com/taller_arequipa.html Fecha y lugar: Universidad Nacional de San Agustín de Arequipa, Arequipa, Perú 26 al 29 de abril de 2019 Detalles del taller: Trata el uso de métodos modernos para el análisis de sonidos animales, enfocándose en la caracterización de su estructura y el uso de estas medidas en estudios conductuales y de descripción de variación intra e inter-específica Combina clases, discusiones y prácticas de análisis de sonidos animales con distintas herramientas (paquetes), incluyendo funciones y rutinas que han sido desarrolladas por el instructor Dirigido a estudiantes interesados en el uso de la bioacústica como una herramienta para entender los factores ecológicos/evolutivos que han moldeado los sistemas de comunicación acústica en animales Se dará prioridad a los estudiantes con conocimiento previo en el lenguaje de programación R Programa del cruso ¿Como inscribirse? Enviar una carta de intención (máximo tres párrafos) explicando 1) por qué desea tomar el taller, 2) cómo contribuirá este con su formación profesional, y 3) cual es su nivel de experiencia en R (básico, medio, avanzado) Dos referencias académicas (indicar sus correos electrónicos) CV Enviar documentación completa a mas tardar el 1 de abril a: Víctor Gamarra-Toledo (victor.gamarrat@gmail.com) Costo El taller tiene un costo de US $150.00 Los estudiantes deberán cubrir sus gastos de transporte, alojamiento y alimentación Habrán becas disponibles del 30% del costo
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Hello! I am currently using FLightR to analyze geolocator data for migration routes and timing events, but I have been having issues specifically with loading the package geosphere (sometimes the package MASS is an issue too, but geosphere only works less than half the time for the past month I'd say). I am using geosphere to produce final FLightR maps showing migration results and movements represented by a calendar year legend. I am working on two monitors, one computer, where very often I have two different RStudios running and when installing geosphere it continually says geosphere was successfully unpacked in both R sessions, but then only one or none of the maps will load after running the following line, "map.FLightR.ggmap(Result163, seasonal.donut.location=NULL, save=TRUE)" I am currently running version 3.4.1 "Single Candle", and I have also used/run version 3.3.2 "Sincere Pumpkin Patch" where geosphere also used to only work occasionally. Geosphere does not appear to be on the update packages list, therefore any recommendations on how to get geosphere to consistently work? Thank you so much for your time and help in advance! Sabina
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Hello! I was trying to run FLightR and when trying to run the 'all.in' function I got the following message: Error in create.proposal(Processed.light, start = start, Grid = Grid) : object 'start_no_polar' not found I ran this function: all.in113 I'm not surprised that the function was unable to find 'start_no_polar' as I haven't defined it. I haven't found 'start_no_polar' defined in any examples of FLightR analysis that I have come across, and I don't know what I should be defining it as. Would anyone have any recommendations on how to proceed? Any help would be appreciated! Thanks, Amélie -
Hello! I would like to try FLightR (i.e. template fit) method on some of my Intigeo data. I have previously analyzed these tags with GeoLight. I am following the example posted on GitHub for the Godwits but I run into a problem getting the 'twilight events' file. This actually uses the BAStag package not the FLightR package, but I don't know another way to have my data formatted properly for FLightR. It seems to be an issue with the interactive plots called by the 'twl' function. Here is the code from the Godwit example as well as the error. > twl Error in setGraphicsEventEnv(which, as.environment(list(...))) : this graphics device does not support event handling I am using Mac OS X 10.11.3 El Capitan, R version 3.2.4 Very Secure Dishes I have not had any trouble looking at the transitions with GeoLight but it doesn't seem to produce files in the correct format for FlightR. Thanks for any help! Emily
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Analyzing Ecological Data with Hierarchical Models Five-day Workshop: 15-18 Mar 2016 Time: 9 am – 5 pm Location: Rosenstiel School of Marine & Atmospheric Science – University of Miami, Miami, Florida Instructor: Dr. Robert M. Dorazio Wetland and Aquatic Research Center U.S. Geological Survey Gainesville, Florida 32653 Email: bdorazio@usgs.gov Course Description: This workshop is designed to provide wildlife scientists with the training needed to formulate and fit hierarchical models of animal abundance and occurrence to actual data sets. Most of these models can be fitted using either frequentist or Bayesian methods of analysis. However, Bayesian methods will be emphasized in the workshop because scientific interest is often focused on a model’s latent state variables or predictions (such as the abundance or occurrence of animals at sampled or unsampled locations) and computing inferences for these quantities is often difficult with frequentist methods. The workshop begins with a description of hierarchical modeling and its use in the analysis of ecological data. This is followed by a conceptual review of the frequentist system of inference and by an introduction to Bayesian methods of analysis. Next is a description of a generic set of algorithms (Markov chain Monte Carlo) that can be used to fit all of the hierarchical models described in the workshop – and many more! Armed with these tools, participants of the workshop will learn to derive and implement simulation-based algorithms for fitting hierarchical models to different types of data (as opposed to relying on software such as BUGS or JAGS). The workshop is intended to provide substantial hands-on training. Considerable time will be devoted to the technical details of fitting hierarchical models to data and to summarizing and interpreting the results of each analysis. As time permits, data brought to the workshop by participants will be presented and analyzed as class exercises. Prerequisites: (1) working knowledge of the R software program (R Core Team, 2015), (2) laptop computer with R installed, (3) familiarity with the frequentist system of statistical inference (including maximum likelihood estimation), and (4) familiarity with the analytical evaluation of joint, marginal, and conditional probability density functions, particularly as they are used in specifying mixtures of distributions. RSMASworkshopOutline2016.pdf
