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BEGIN:VEVENT
DTSTART;VALUE=DATE:20350401
DTEND;VALUE=DATE:20451202
DTSTAMP:20260405T163512
CREATED:20250827T193032Z
LAST-MODIFIED:20251120T194731Z
UID:10000516-2058998400-2395785599@prstats.org
SUMMARY:FREE COURSE Recorded 1 Day Intro to R and R Studio
DESCRIPTION:Data Visualisation in R using ggplot2\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Event Date \nTuesday\, November 18th\, 2025\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. \nTime Zone\nTIME ZONE – UK (GMT) local time – however all sessions will be recorded and made available allowing attendees from different time zones to follow. \nPlease 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				This course is aimed towards researchers analysing field observations\, who are often faced by data heterogeneities due to field sampling protocols changing from one project to another\, or through time over the lifespan of projects\, or trying to combine legacy data sets with new data collected by recording units. \nSuch heterogeneities can bias analyses when data sets are integrated inadequately or can lead to information loss when filtered and standardized to common standards. Accounting for these issues is important for better inference regarding status and trend of species and communities. \nAnalysis of such ‘messy’ data sets need to feel comfortable with manipulating the data\, need a full understanding the mechanics of the models being used (i.e. critically interpreting the results and acknowledging assumptions and limitations)\, and should be able to make informed choices when faced with methodological challenges. \nThe course emphasizes critical thinking and active learning through hands on programming exercises. We will use publicly available data sets to demonstrate the data manipulation and analysis. We will use freely available and open-source R packages. \nThe expected outcome of the course is a solid foundation for further professional development via increased confidence in applying these methods for field observations. \nBy the end of the course\, participants should be able to: \n\nUnderstand basic statistical concepts related to detection error\nWork with field collected data and data from automated recording units (ARU)\nKnow packages such as unmarked\, detect\, bSims\nCritically evaluate modelling options and assumptions using simulations\nFit N-mixture\, distance sampling\, and time-removal models to data\n\n			\n				\n				\n				\n				\n				Intended Audiences\n				\nAcademics and post-graduate students working on projects related to avian data\nApplied researchers and analysts in public\, private or third-sector organizations who need the reproducibility\, speed and flexibility of a programming language such as R for analysing point count data arising from avian field surveys\n\n			\n				\n				\n				\n				\n				Venue\n				Delivered remotely \n			\n				\n				\n				\n				\n				Course Details\n				Time Zone – UK (GMT) local time \nAvailability – 25 places \nDuration – 3 days\, 4 hours per day \nContact hours – Approx. 12 hours \nECT’s – Equal to 1 ECT \nLanguage – English \n			\n				\n				\n				\n				\n				Teaching Format\n				Introductory lectures on the concepts and refreshers on R usage. Intermediate-level lectures interspersed with hands-on mini practicals and longer projects. 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				\n				Assumed quantitative knowledge\n				A basic understanding of statistical\, mathematical and physical concepts. Specifically\, generalised linear regression models\, including mixed models; basic knowledge of calculus. \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 (up to GLM) and 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		Tickets	\n	\n	\n	\n	\n	\n	\n		The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.	\n\n\n\n	\n	\n		DVGGPR RECORDED\n	\n	DVGGPR RECORDED\n\n	\n		\n		\n				\n					£\n					250.00\n				\n						\n\n			\n			Unlimited	\n				\n			\n				Open the ticket description.\n				More			\n			\n				Close the ticket description.\n				Less			\n	\n	\n\n			\n			\n	Decrease ticket quantity for DVGGPR RECORDED\n	-\n		\n	\n		Quantity	\n	\n\n		\n	Increase ticket quantity for DVGGPR RECORDED\n	+\n		\n	\n				\n		\n\n		\n	\n		Quantity:	\n	0\n\n	\n	\n		Total:	\n	\n		\n				\n					£\n					0.00\n				\n				\n\n			\n	Get Tickets\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				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				\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				Tuesday 18th\n				Day 1 – Classes from 13:30 – 17:30 \nIntroduction \n\nIntroduction and background\nReview of field sampling techniques\nIntroduction to agent-based simulations\nOverview of regression techniques\nNaïve estimates of occupancy and abundance\nMultiple visits and N-mixture models\n\n			\n				\n				\n				\n				\n				Wednesday 19th\n				Day 2 – Classes from 13:30 – 17:30 \nIntroduction to modelling \n\nBird behaviour\nTime-removal models\nObservation process\nDistance sampling\nCombining removal and distance sampling (QPAD)\n\n			\n				\n				\n				\n				\n				Thursday 20th\n				Day 3 – Classes from 13:30 – 17:30 \nDifferent approaches \n\nSingle visit-based approaches (N-mixture and SQPAD)\nAnalysing data from recording units\nMulti-species models and using species traits and phylogeny\nDealing with roadside and other biases\nClosing remarks\n\n			\n			\n				\n				\n				\n				\n				Course Instructor\n \nDr. Peter Solymos \nPéter is an ecologist and R programmer. He has worked with continental scale data sets and developed statistical techniques for estimating population density from messy data sets. He is the author of numerous well-known R packages\, including detect\, dclone\, vegan\, and ResourceSelection. He works currently as a data scientist helping utility companies improving their outage and impact prevention practices\, and is an adjunct professor at the University of Alberta in Edmonton\, Canada. \nGoogle Scholar \nWork Homepage \nPersonal Homepage
URL:https://prstats.org/course/free-course-recorded-1-day-intro-to-r-and-r-studio-firrpr/
LOCATION:Recorded\, United Kingdom
CATEGORIES:Free Courses,Previously Recorded Courses
ATTACH;FMTTYPE=image/png:https://prstats.org/wp-content/uploads/2025/08/FIRRPR.png
GEO:55.378051;-3.435973
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20350714
DTEND;VALUE=DATE:20350715
DTSTAMP:20260405T163512
CREATED:20220504T113357Z
LAST-MODIFIED:20250828T151457Z
UID:10000409-2067984000-2068070399@prstats.org
SUMMARY:Introduction to eco-phylogenetics and comparative analyses using R
DESCRIPTION:Data Visualisation in R using ggplot2\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\nPre Recorded\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				About This Course\n				In this five day course\, we provide an introduction to eco-phylogenetics and comparative analyses using R. We begin by providing an  overview on the use of phylogenies as a tool for evolutionary biologists and modern techniques to deal with large phylogenies and to incorporate phylogenetic uncertainty in the analyses (day 1). We then cover some of the most relevant eco-phylogenetic analyses and provide examples from the community to themacro-ecological scale (day 2-3). Finally\, we introduce a diversity of classic and modern phylogenetic comparative methods to consider the historical relationship of lineages in eco-evolutionary research\, including models of trait evolution\, analysis of clade diversification and the use of phylogenies in spatial distribution models among others (day 4-5). \n			\n				\n				\n				\n				\n				Intended Audiences\n				This course is aimed at anyone who wishes to introduce into phylogenetic ecology and comparative analyses. \n			\n				\n				\n				\n				\n				Course Details\n				Last Up-Dated – 11:02:2021 \nDuration – Approx. 30 hours \nECT’s – Equal to 3ECT’s \nLanguage – English \n			\n				\n				\n				\n				\n				Teaching Format\n				The course will be hands-on and workshop based. Throughout each day\, there will be some introductory remarks for each new topic\, introducing and explaining key concepts. \nThe course will take place online using Zoom. On each day\, the live video broadcasts will\noccur between (UK local time) at:\n• 8:00am-10:00am\n• 11:00pm-13:00pm\n• 14:30pm-16:30pm \nAll sessions will be video recorded and made available to all attendees.\n			\n				\n				\n				\n				\n				Assumed quantative knowledge\n				We will assume general familiarity with the very basics of statistics (e.g. summary statistics\, distributions). As this is an introductory course\, no phylogenetic background is required. \n			\n				\n				\n				\n				\n				Assumed computer background\n				We will assume general familiarity with R elementary operations (e.g. package sourcing\, data importing and exporting\, object indexing) and some familiarity with programming in R (writing code). \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		Tickets	\n	\n	\n	\n	\n	\n	\n		The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.	\n\n\n\n	\n	\n		DVGGPR RECORDED\n	\n	DVGGPR RECORDED\n\n	\n		\n		\n				\n					£\n					250.00\n				\n						\n\n			\n			Unlimited	\n				\n			\n				Open the ticket description.\n				More			\n			\n				Close the ticket description.\n				Less			\n	\n	\n\n			\n			\n	Decrease ticket quantity for DVGGPR RECORDED\n	-\n		\n	\n		Quantity	\n	\n\n		\n	Increase ticket quantity for DVGGPR RECORDED\n	+\n		\n	\n				\n		\n\n		\n	\n		Quantity:	\n	0\n\n	\n	\n		Total:	\n	\n		\n				\n					£\n					0.00\n				\n				\n\n			\n	Get Tickets\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				\nPLEASE READ – CANCELLATION POLICY \n\n\nCancellations/refunds are accepted as long as the course materials have not been accessed\,. \n\n\nThere is a 20% cancellation fee to cover administration and possible bank fess. \n\n\nIf you need to discuss cancelling please contact oliverhooker@prstatistics.com. \n\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				Day 1\n				Approx. 7 Hours \n• Introduction and a brief phylogenetic primer. Basic terminology for non- phylogeneticists\, phylogenetic inference (quick overview)\, phylogenies aevolutionary hypotheses. \n• Working with phylogenies. Newick format and structure of the R phylo object. Elementary operations on phylogenies (pruning\, resolving polytomies\, sticking species). Visualizing large phylogenies. \n• Building purpose-specific mega-trees from extant trees and incorporating phylogenetic uncertainty. Software phylocom\, V.PhyloMaker\, SUNPLIN and randtip R package. \n  \n			\n				\n				\n				\n				\n				Day 2\n				Approx. 7 Hours \n• Introduction to the eco-phylogenetic framework\, classical conception and posterior modifications. \n• Phylogenetic alpha diversity (how much? how different? how regular?). Community data matrices\, null models\, applications to biodiversity conservation. \n• Phylogenetic beta diversity. The turnover and nestedness component of beta diversity. \n			\n				\n				\n				\n				\n				Day 3\n				Approx. 7 Hours \n• Incorporating the exact branching pattern of phylogenies into eco-phylogenetic analyses. \n• Spatial phylogenetics. RPD\, RPE and CANEPE analysis. \n• Overview of functional trait ecology. Functional richness\, evenness and divergence.Community weighted means. \n• Phylogenetic imputation of trait datasets. Bounding prediction uncertainty using evolutionary models. Phylogenies as a null model in ecology \n			\n				\n				\n				\n				\n				Day 4\n				Approx. 7 Hours \n\n \n \n\n			\n				\n				\n				\n				\n				Day 5\n				Approx. 7 Hours \n\nThe need to account for phylogenetic relationships in models.\nMost common phylogenetic modelling approaches: PGLS\, PGLMM\, BayesianPMM.\nPutting phylogenies in the geography: how to combine phylogenies with species distribution models.\n\n			\n			\n				\n				\n				\n				\n				Course Instructor\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				Rafael Molina Venegas \nWorks at: Universidad Autónoma de Madrid \nTeaches: Introduction to eco-phylogenetics and comparative analyses using R \nThe scientific career of Rafael Molina Venegas revolves around three research lines pertaining to (1) the ecological and evolutionary mechanisms that jointly shape species assemblages at the community and macroecological scales\, (2) the development\, improvement\, and assessment of phylogenetic methods\, and (3) the links between biodiversity and human well-being. While these lines represent clearly differentiated research interests\, phylogenetics is a cross-cutting background for all of them. Considering that plants are his true passion in science\, he defines himself as a Phylogenetic Plant Ecologist. \nVisit Website \nGoogle Scholar
URL:https://prstats.org/course/introduction-to-eco-phylogenetics-and-comparative-analyses-using-r-ecphpr/
LOCATION:Recorded\, United Kingdom
CATEGORIES:Molecular Ecology,Previously Recorded Courses
ATTACH;FMTTYPE=image/jpeg:https://prstats.org/wp-content/uploads/2022/05/ECPHPR.jpg
GEO:55.378051;-3.435973
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20350717
DTEND;VALUE=DATE:20350718
DTSTAMP:20260405T163512
CREATED:20250828T152616Z
LAST-MODIFIED:20250828T152835Z
UID:10000523-2068243200-2068329599@prstats.org
SUMMARY:Introduction to Spatial Eco-Phylogenetics and Comparative Methods
DESCRIPTION:Data Visualisation in R using ggplot2\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\nPre Recorded\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				About This Course\n				In this five day course\, we provide an introduction to eco-phylogenetics and comparative analyses using R. We begin by providing an  overview on the use of phylogenies as a tool for evolutionary biologists and modern techniques to deal with large phylogenies and to incorporate phylogenetic uncertainty in the analyses (day 1). We then cover some of the most relevant eco-phylogenetic analyses and provide examples from the community to themacro-ecological scale (day 2-3). Finally\, we introduce a diversity of classic and modern phylogenetic comparative methods to consider the historical relationship of lineages in eco-evolutionary research\, including models of trait evolution\, analysis of clade diversification and the use of phylogenies in spatial distribution models among others (day 4-5). \n			\n				\n				\n				\n				\n				Intended Audiences\n				This course is aimed at anyone who wishes to introduce into phylogenetic ecology and comparative analyses. \n			\n				\n				\n				\n				\n				Course Details\n				Last Up-Dated – 11:02:2021 \nDuration – Approx. 30 hours \nECT’s – Equal to 3ECT’s \nLanguage – English \n			\n				\n				\n				\n				\n				Teaching Format\n				The course will be hands-on and workshop based. Throughout each day\, there will be some introductory remarks for each new topic\, introducing and explaining key concepts. \nThe course will take place online using Zoom. On each day\, the live video broadcasts will\noccur between (UK local time) at:\n• 8:00am-10:00am\n• 11:00pm-13:00pm\n• 14:30pm-16:30pm \nAll sessions will be video recorded and made available to all attendees.\n			\n				\n				\n				\n				\n				Assumed quantative knowledge\n				We will assume general familiarity with the very basics of statistics (e.g. summary statistics\, distributions). As this is an introductory course\, no phylogenetic background is required. \n			\n				\n				\n				\n				\n				Assumed computer background\n				We will assume general familiarity with R elementary operations (e.g. package sourcing\, data importing and exporting\, object indexing) and some familiarity with programming in R (writing code). \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		Tickets	\n	\n	\n	\n	\n	\n	\n		The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.	\n\n\n\n	\n	\n		DVGGPR RECORDED\n	\n	DVGGPR RECORDED\n\n	\n		\n		\n				\n					£\n					250.00\n				\n						\n\n			\n			Unlimited	\n				\n			\n				Open the ticket description.\n				More			\n			\n				Close the ticket description.\n				Less			\n	\n	\n\n			\n			\n	Decrease ticket quantity for DVGGPR RECORDED\n	-\n		\n	\n		Quantity	\n	\n\n		\n	Increase ticket quantity for DVGGPR RECORDED\n	+\n		\n	\n				\n		\n\n		\n	\n		Quantity:	\n	0\n\n	\n	\n		Total:	\n	\n		\n				\n					£\n					0.00\n				\n				\n\n			\n	Get Tickets\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				\nPLEASE READ – CANCELLATION POLICY \n\n\nCancellations/refunds are accepted as long as the course materials have not been accessed\,. \n\n\nThere is a 20% cancellation fee to cover administration and possible bank fess. \n\n\nIf you need to discuss cancelling please contact oliverhooker@prstatistics.com. \n\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				Day 1\n				Approx. 7 Hours \n• Introduction and a brief phylogenetic primer. Basic terminology for non- phylogeneticists\, phylogenetic inference (quick overview)\, phylogenies aevolutionary hypotheses. \n• Working with phylogenies. Newick format and structure of the R phylo object. Elementary operations on phylogenies (pruning\, resolving polytomies\, sticking species). Visualizing large phylogenies. \n• Building purpose-specific mega-trees from extant trees and incorporating phylogenetic uncertainty. Software phylocom\, V.PhyloMaker\, SUNPLIN and randtip R package. \n  \n			\n				\n				\n				\n				\n				Day 2\n				Approx. 7 Hours \n• Introduction to the eco-phylogenetic framework\, classical conception and posterior modifications. \n• Phylogenetic alpha diversity (how much? how different? how regular?). Community data matrices\, null models\, applications to biodiversity conservation. \n• Phylogenetic beta diversity. The turnover and nestedness component of beta diversity. \n			\n				\n				\n				\n				\n				Day 3\n				Approx. 7 Hours \n• Incorporating the exact branching pattern of phylogenies into eco-phylogenetic analyses. \n• Spatial phylogenetics. RPD\, RPE and CANEPE analysis. \n• Overview of functional trait ecology. Functional richness\, evenness and divergence.Community weighted means. \n• Phylogenetic imputation of trait datasets. Bounding prediction uncertainty using evolutionary models. Phylogenies as a null model in ecology \n			\n				\n				\n				\n				\n				Day 4\n				Approx. 7 Hours \n\n \n \n\n			\n				\n				\n				\n				\n				Day 5\n				Approx. 7 Hours \n\nThe need to account for phylogenetic relationships in models.\nMost common phylogenetic modelling approaches: PGLS\, PGLMM\, BayesianPMM.\nPutting phylogenies in the geography: how to combine phylogenies with species distribution models.\n\n			\n			\n				\n				\n				\n				\n				Course Instructor\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				Rafael Molina Venegas \nWorks at: Universidad Autónoma de Madrid \nTeaches: Introduction to eco-phylogenetics and comparative analyses using R \nThe scientific career of Rafael Molina Venegas revolves around three research lines pertaining to (1) the ecological and evolutionary mechanisms that jointly shape species assemblages at the community and macroecological scales\, (2) the development\, improvement\, and assessment of phylogenetic methods\, and (3) the links between biodiversity and human well-being. While these lines represent clearly differentiated research interests\, phylogenetics is a cross-cutting background for all of them. Considering that plants are his true passion in science\, he defines himself as a Phylogenetic Plant Ecologist. \nVisit Website \nGoogle Scholar
URL:https://prstats.org/course/introduction-to-spatial-eco-phylogenetics-and-comparative-methods-secmpr/
LOCATION:Recorded\, United Kingdom
CATEGORIES:Molecular Ecology,Previously Recorded Courses
ATTACH;FMTTYPE=image/png:https://prstats.org/wp-content/uploads/2025/08/SECMPR.png
GEO:55.378051;-3.435973
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