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DTSTART;VALUE=DATE:20210809
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SUMMARY:ONLINE COURSE - Landscape genetic data analysis using R (LNDG04) This course will be delivered live
DESCRIPTION:Delivered remotely (USA)\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Event Date \nMonday\, 9th August\, 2021\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n					\n				\n				\n				\n					\n						\n						\n							\n							\n						\n					\n				\n				\n				\n				\n			\n			\n				\n				\n				\n					\n						\n						\n							\n							\n						\n					\n				\n				\n				\n				\n			\n			\n				\n				\n			\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Course Format\nThis is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link\, a good internet connection is essential. \nPlease email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you. \nTIME ZONE\nTIME ZONE – Eastern Standard Time – Please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you). \n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				About This Course\n				The term ‘landscape genetics’ has been applied studies that integrate ecological context and intervening landscape into population genetic analyses of contemporary processes such as gene flow and migration. This course will cover the basics of both quantitative landscape ecology and population genetics\, focusing on how we develop and evaluate spatial/genetic analyses using the R platform. \n			\n				\n				\n				\n				\n				Intended Audiences\n				This course is suitable for graduate students\, postdoctoral researchers\, and primary investigators interested in learning how to integrate landscape ecological and population genetic tools using the R software. \n			\n				\n				\n				\n				\n				Course Details\n				Availability – 24 places \nDuration – 5 days \nContact hours – Approx. 35 hours \nECT’s – Equal to 3 ECT’s \nLanguage – English \n			\n				\n				\n				\n				\n				Venue\n				Delivered Remotely \n			\n				\n				\n				\n				\n				Teaching Format\n				There will be morning lectures based on the modules outlined in the course timetable. In the afternoon there will be practicals based on the topics covered that morning. Data sets for computer practicals will be provided by the instructors\, but participants are welcome to bring their own data. \n			\n				\n				\n				\n				\n				Assumed quantative knowledge\n				A basic understanding of statistical concepts. Specifically\, generalised linear regression models\, statistical significance\, hypothesis testing. \n			\n				\n				\n				\n				\n				Assumed computer background\n				Familiarity with R. Ability to import/export data\, manipulate data frames\, fit basic statistical models & generate simple exploratory and diagnostic plots. \n			\n				\n				\n				\n				\n				Equipment and software requirements\n				\nA laptop computer with a working version of R or RStudio is required. R and RStudio are both available as free and open source software for PCs\, Macs\, and Linux computers. R may be downloaded by following the links here https://www.r-project.org/. RStudio may be downloaded by following the links here: https://www.rstudio.com/. \n\n\nAll the R packages that we will use in this course will be possible to download and install during the workshop itself as and when they are needed\, and a full list of required packages will be made available to all attendees prior to the course. \n\n\nA working webcam is desirable for enhanced interactivity during the live sessions\, we encourage attendees to keep their cameras on during live zoom sessions. \n\n\nAlthough not strictly required\, using a large monitor or preferably even a second monitor will improve he learning experience \n\n\nDownload R \n\n\nDownload RStudio \n\n\nDownload Zoom \n\n			\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				PLEASE READ – CANCELLATION POLICY \nCancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered\, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited. \n			\n				\n				\n				\n				\n				\nIf you are unsure about course suitability\, please get in touch by email to find out more oliverhooker@prstatistics.com \n\n  \n			\n			\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				COURSE PROGRAMME\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Monday 15th\n				Classes from 9:30 to 17:30 \nModule 1: Spatial & Ecological Data.Installation & configuring R & RStudioAcquiring spatial data\, projections\, and visualizationVector and raster data \n  \n			\n				\n				\n				\n				\n				Tuesday 16th\n				Classes from 9:30 to 17:30 \nModule 2: Genetic markers and basic analysesGenetic markers and samplingGenetic distance\, diversity\, and structureOrdination techniques based upon genetic markers \n  \n			\n				\n				\n				\n				\n				Wednesday 17th\n				Classes from 9:30 to 17:30 \nModule 3: Integrating spatial and genetic dataBarrier detection & population divisionResistance ModelingMantel and distance regressionsRemote sensing – LiDAR and Hyperspectral data \n  \n			\n				\n				\n				\n				\n				Thursday 18th\n				Classes from 9:30 to 17:30 \nModule 4: Integrating spatial and genetic dataSpatial autocorrelationNetwork ApproachesPCMN & Redundancy \n  \n			\n				\n				\n				\n				\n				Friday 19th\n				Classes from 9:30 to 17:30 \nModule 5: Adaptive Genetic VarianceOutliers & gradientsQuantitative genetics\, why we should care.Chromosome walking \n  \n			\n			\n				\n				\n				\n				\n				Course Instructor\n \nProf. Rodney Dyer\nComing Soon
URL:https://prstats.preprodw.com/course/landscape-genetic-data-analysis-using-r-lndg04/
LOCATION:Delivered remotely (USA)\, Eastern Daylight Time\, MD United States\, United States
CATEGORIES:All Live Courses,Home Courses,Live Online Courses
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