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MOVEPR

Movement Ecology (the Analysis of Movement Data)

Movement Ecology in R: Analyse GPS, VHF, and Path Data Across Species

  • Duration: 40 Hours
  • Format: Recorded ‘on-demand’ Format

£480Registration Fee

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Course Description

The course will cover the concepts, technology and software tools that can be used to analyse movement data (from ringing/CMR to VHF/GPS) in ecology and evolution. We will cover elementary and advanced analysis and modelling techniques broadly applicable across taxa, from micro-organisms to vertebrates, highlighting the advantages of a unified Movement Ecology framework. We will provide the necessary bases in ecology (especially behavioural ecology), physics and mathematics/statistics, to be able to identify for any specific research question the most appropriate study species, logging technology (incl. attachment methods), and statistical/mathematical modelling approach. We will specifically address the challenges and opportunities at each of the steps of the proposed ‘question-driven approach’, combining theory with computer-based practicals in R. We will also address the challenges of applying the results of the analyses to applied management problems and communicate the findings to non-experts.

What You’ll Learn

During the course we will cover the following:

  • Explain key concepts in movement ecology, including the relationship between animal movement, behaviour, and ecological processes.
  • Analyse movement paths using spatial and trajectory-based methods, from steps and turns to segmentation and classification of movement modes (e.g. home range, dispersal, migration, nomadism).
  • Define and evaluate home range concepts, and compare alternative home range estimators through a question-driven analytical framework.
  • Apply practical home range analysis techniques in R, including utilization distributions, kernel density estimation, isopleth creation, and quantification of overlap and core areas.
  • Assess static and dynamic interactions between individuals and quantify temporal movement metrics such as first-passage time and residence time.
  • Describe theories and methodologies of resource and habitat selection, including definitions of availability, effects of scale, and limitations of different approaches.
  • Describe theories and methodologies of resource and habitat selection, including definitions of availability, effects of scale, and limitations of different approaches.
  • Implement resource selection analyses in R, integrating spatial data with movement metrics, and apply scale-integrated models to evaluate habitat use.
  • Conduct step-selection function (SSF) analyses, including generating available steps, fitting SSFs with multiple R packages, and simulating utilization and occurrence distributions to assess decision-making processes in movement.

Course Format

Flexible Learning Structure

Learn through a carefully structured mix of lecture recordings and guided exercises that you can pause, revisit, and complete at your own pace—ideal for busy professionals or those balancing multiple commitments.

Access Anytime, Anywhere

All course content is available on-demand, making it accessible across all time zones without the need to attend live sessions or adjust your schedule.

Independent Exploration with Support

Engage deeply with course topics through self-directed study, with the option to reach out to instructors via email for clarification or deeper discussion.

Comprehensive Learning Resources

Gain full access to the same high-quality materials provided in live sessions, including code, datasets, and presentation slides—all available to download and keep. Please note recordings can only be streamed.

Work With Your Own Data, On Your Terms

Apply what you learn directly to your own data projects as you go, allowing for a personalized and immediately practical learning experience.

Continued Guidance and Resource Access

Receive 30 days of post-enrolment email support and unrestricted access to all session recordings during that time, so you can review and reinforce your learning as needed.

Who Should Attend / Intended Audiences

This course is designed for research postgraduates, practicing academics, and principal investigators in ecology, management, and related environmental disciplines, as well as professionals in government and industry. It will also be of interest to researchers in geography, mathematics, and computer science who are working on movement analyses. The programme combines introductory lectures on key concepts and refresher sessions on R with intermediate-level lectures interspersed with hands-on mini practicals and longer projects. Instructors will provide datasets for the computer practicals, though participants are encouraged to bring their own data. To benefit fully, participants should have a basic understanding of statistical, mathematical, and physical concepts, including generalized linear regression models (with mixed models), trigonometry, calculus, and physics as relevant to biological systems. A good working knowledge of R is essential, including the ability to import and export data, manipulate data frames, fit basic statistical models (up to GLMs), and generate exploratory and diagnostic plots. Familiarity with more advanced models, such as mixed models, and a general recollection of mathematical analysis will also be advantageous.

Equipment and Software requirements

A laptop or desktop computer with a functioning installation of R and RStudio is required. Both R and RStudio are free, open-source programs compatible with Windows, macOS, and Linux systems.

While not essential, using a large monitor—or ideally a dual-monitor setup—can significantly enhance your learning experience by allowing you to view course materials and work in R simultaneously.

All necessary R packages will be introduced and installed during the workshop.

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Prof. Luca Börger

Prof. Luca Börger

Luca is an ecologist working at the interface of movement ecology, population biology, and biodiversity conservation. His research focuses on understanding the mechanistic processes — including movement, traits, demography, and species interactions — that shape ecological dynamics and responses to environmental change. He applies and develops statistical, mathematical, and simulation-based approaches to link individual behaviour with population- and community-level processes, with the aim of improving predictions of biodiversity change and informing sustainable policy. His work spans a wide range of taxa, from invertebrates and vertebrates to plants, and is strongly interdisciplinary, involving collaborations with mathematicians, statisticians, engineers, conservationists, and policymakers.

Luca is Chair in Ecology and Biodiversity in the Department of Biosciences at Swansea University, co-Director of the Centre for Biomathematics, and Chair/Secretary of the British Ecological Society’s Movement Ecology Special Interest Group. Before his academic career, he trained and worked as a professional freelance musician specialising in the French horn.

 

Education & Career
• PhD in Zoology, University of Cambridge (with visiting research at Imperial College London, Silwood Park)
• MSc in Biology, University of Pisa
• Postdoctoral fellowships in Canada (University of Guelph) and France (CNRS & INRA)
• Associate Professor, Swansea University (2013–2017)
• Professor and Chair in Ecology and Biodiversity, Swansea University (2017–present)

 

Research Focus
Luca’s research is question-driven, bridging behavioural, population, and community ecology in both theoretical and applied contexts. He leads the Biodiversity Dynamics and Movement Ecology Lab (BioMove), part of the Swansea Laboratory for Animal Movement (SLAM). His work integrates ecological data with advanced modelling to address challenges in conservation, management, and environmental policy across Europe, Africa, North America, Brazil, and Australia.

 

Current Projects
• Movement ecology of large vertebrates (e.g., red deer, sea turtles, adders)
• Trait-based approaches to predicting biodiversity responses to environmental change
• Impacts of invasive species on native communities (e.g., wallabies on the Isle of Man)
• Development of quantitative tools for analysing high-resolution movement data
• Interdisciplinary collaborations linking ecology with mathematics, statistics, and engineering

 

Professional Consultancy
Luca collaborates with conservation agencies, NGOs, and government organisations to provide ecological expertise on biodiversity monitoring, spatial management, and policy design. He also advises interdisciplinary teams on study design, quantitative methods, and movement data analysis.

 

Teaching & Skills
• Teaches ecological data analysis in R (undergraduate and postgraduate)
• Delivers international workshops on movement ecology and statistical ecology
• Experienced in supervising interdisciplinary PhD and MRes projects
• Strong advocate of open science, reproducibility, and cross-disciplinary training

 

Links
University Profile
Google Scholar
Research Gate

Prof. Garrett M. Street

Prof. Garrett M. Street

Garrett is a quantitative ecologist working at the interface of habitat selection, animal movement, and landscape ecology. His research focuses on how fine-scale behavioral processes—such as thermoregulation, foraging, and habitat preference—shape broad-scale patterns in species distribution, abundance, and population dynamics. He utilizes a range of methods including statistical and simulation modeling, biotelemetry, geographic information systems (GIS), and laboratory microcosms to explore ecological processes from both theoretical and empirical perspectives. His recent work further examines animal fitness and body condition under energetic constraints, behavioral influences on habitat selection and species distribution, and the role of animal movement in the global carbon budget.

Garrett earned his PhD in Integrative Biology from the University of Guelph (supervised by Dr. John Fryxell), following a Master’s degree in Population & Conservation Biology from Texas State University (under Dr. Floyd “Butch” Weckerly). He then completed postdoctoral research at the University of Minnesota with Drs. John Fieberg and James Forester. In August 2015, he joined the Department of Wildlife, Fisheries, and Aquaculture at Mississippi State University, where he co-founded the Quantitative Ecology and Spatial Technologies (QuEST) Laboratory.

 

Education & Career
• PhD in Integrative Biology, University of Guelph
• M.Sc. in Population & Conservation Biology, Texas State University
• Postdoctoral Researcher, University of Minnesota
• Associate Professor, Department of Wildlife, Fisheries & Aquaculture, Mississippi State University (since 2015)

 

Research Focus
Garrett’s work centers on elucidating how micro-scale behavioral and physiological processes translate into macro-scale ecological patterns. He is particularly interested in the energetics of movement and foraging, habitat selection dynamics, and ecological forecasting across climatic and spatial gradients. His lab, QuEST, combines cutting-edge quantitative tools and empirical data to address key questions in movement ecology and ecosystem health across diverse taxa and landscapes.

 

Current Projects
• Energetic constraints on animal movement and body condition
• Behavioral drivers of habitat preference and species distribution
• Modeling animal movement across spatiotemporal and bioclimatic gradients
• Exploring wildlife contributions to carbon fluxes in ecosystems
• Feral swine and white-tailed deer behavior in managed landscapes, moose habitat selection, and avian population dynamics

 

Teaching & Skills
• Delivers courses in wildlife biostatistics, landscape ecology, GIS applications, and movement ecology
• Expert in applying statistical modeling, telemetry data, GIS, and simulation approaches to movement ecology
• Experienced in training students and professionals in quantitative ecological methods

 

Links
University Profile
Research Gate

Session 1- 02:00:00 – Conceptual component: Introduction to movement ecology, movement and behaviour

Session 2 – 02:00:00 – Conceptual component: Spatial and movement path analysis.

Session 3 – 04:00:00 – Practical component: Movement path analysis I – from steps and turns to movement path segmentation; Movement path analysis II – movement modes (home rage, dispersal, migration, nomadism) and the squared displacement method.

Session 4 – 02:00:00 – Conceptual component: Ecological definitions and interpretations of home ranges, home range estimation,

Session 5 – 02:00:00 – Conceptual component: Comparisons between estimators and the question-driven approach.

Session 6 – 04:00:00 – Practical component: Utilization distribution; comparison of contrasting kernel home range estimation methods, isopleth creation, core area & home range overlap.

Session 7 – 02:00:00 – Conceptual component: Movements of interacting animals – static and dynamic interactions.

Session 8 – 02:00:00 – Conceptual component: Scales of movement – first-passage and residence time analysis.

Session 9 – 04:00:00 – Practical component: Static and dynamic interaction indices; estimation of first-passage and residence time metrics.

Session 10 – 02:00:00 – Conceptual component: Theories of resource and habitat selection, history of approaches, and current methodologies and caveats.

Session 11 – 02:00:00 – Conceptual component: definitions of availability and scale effects for RSF and other movement metrics.

Session 12 – 04:00:00 – Practical component: Data projections and R as a GIS; Scale-integrated models of movement, availability sampling, and RSF estimation and interpretation.

Session 13 – 02:00:00 – Conceptual component: Introduction to step selection, decision-making processes, null and alternative models for definitions of availability within SSF

Session 14 – 02:00:00 – Conceptual component: movement-integrated step-selection analysis.

Session 15 – 04:00:00 – Practical component: Creation of available step data, estimation of SSF using multiple packages and approaches, simulation of utilization and occurrence distributions.

Testimonials

PRStats offers a great lineup of courses on statistical and analytical methods that are super relevant for ecologists and biologists. My lab and I have taken several of their courses—like Bayesian mixing models, time series analysis, and machine/deep learning—and we've found them very informative and directly useful for our work. I often recommend PRStats to my students and colleagues as a great way to brush up on or learn new R-based statistical skills.

Rolando O. Santos

PhD Assistant Professor, Florida International University

Courses attended

SIMM05, IMDL03, ITSA02, GEEE01 and MOVE07

Testimonials

PRStats offers a great lineup of courses on statistical and analytical methods that are super relevant for ecologists and biologists. My lab and I have taken several of their courses—like Bayesian mixing models, time series analysis, and machine/deep learning—and we've found them very informative and directly useful for our work. I often recommend PRStats to my students and colleagues as a great way to brush up on or learn new R-based statistical skills.

Rolando O. Santos

PhD Assistant Professor, Florida International University

Courses attended

SIMM05, IMDL03, ITSA02, GEEE01 and MOVE07

Testimonials

PRStats offers a great lineup of courses on statistical and analytical methods that are super relevant for ecologists and biologists. My lab and I have taken several of their courses—like Bayesian mixing models, time series analysis, and machine/deep learning—and we've found them very informative and directly useful for our work. I often recommend PRStats to my students and colleagues as a great way to brush up on or learn new R-based statistical skills.

Rolando O. Santos

PhD Assistant Professor, Florida International University

Courses attended

SIMM05, IMDL03, ITSA02, GEEE01 and MOVE07

Frequently asked questions

Everything you need to know about the product and billing.

When will I receive instructions on how to join?

You’ll receive an email on the Friday before the course begins, with full instructions on how to join via Zoom. Please ensure you have Zoom installed in advance.

Do I need administrator rights on my computer?

Yes — administrator access is recommended, as you may need to install software during the course. If you don’t have admin rights, please contact us before the course begins and we’ll provide a list of software to install manually.

I’m attending the course live — will I also get access to the session recordings?

Yes. All participants will receive access to the recordings for 30 days after the course ends.

I can’t attend every live session — can I join some sessions live and catch up on others later?

Absolutely. You’re welcome to join the live sessions you can and use the recordings for those you miss. We do encourage attending live if possible, as it gives you the chance to ask questions and interact with the instructor. You’re also welcome to send questions by email after the sessions.

I’m in a different time zone and plan to follow the course via recordings. When will these be available?

We aim to upload recordings on the same day, but occasionally they may be available the following day.

I can’t attend live — how can I ask questions?

You can email the instructor with any questions. For more complex topics, we’re happy to arrange a short Zoom call at a time that works for both of you.

Will I receive a certificate?

Yes. All participants receive a digital certificate of attendance, which includes the course title, number of hours, course dates, and the instructor’s name.

When will I receive instructions on how to join?

You’ll receive an email on the Friday before the course begins, with full instructions on how to join via Zoom. Please ensure you have Zoom installed in advance.

Do I need administrator rights on my computer?

Yes — administrator access is recommended, as you may need to install software during the course. If you don’t have admin rights, please contact us before the course begins and we’ll provide a list of software to install manually.

I’m attending the course live — will I also get access to the session recordings?

Yes. All participants will receive access to the recordings for 30 days after the course ends.

I can’t attend every live session — can I join some sessions live and catch up on others later?

Absolutely. You’re welcome to join the live sessions you can and use the recordings for those you miss. We do encourage attending live if possible, as it gives you the chance to ask questions and interact with the instructor. You’re also welcome to send questions by email after the sessions.

I’m in a different time zone and plan to follow the course via recordings. When will these be available?

We aim to upload recordings on the same day, but occasionally they may be available the following day.

I can’t attend live — how can I ask questions?

You can email the instructor with any questions. For more complex topics, we’re happy to arrange a short Zoom call at a time that works for both of you.

Will I receive a certificate?

Yes. All participants receive a digital certificate of attendance, which includes the course title, number of hours, course dates, and the instructor’s name.

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MOVEPR RECORDED
MOVEPR RECORDED
£ 480.00
Unlimited
£480.00
2nd October 2035 - 4th October 2035
Recorded, United Kingdom
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