UCL CBER

1:02:23

The Ben Collen Memorial Lecture 2023 - Professor Marjo Saastamoinen - 20th March 2023

2 ай бұрын

4:58

Tabi Evans Presents Research from Dr Izzy Bishop

5 ай бұрын

4:53

Eva McClean Presents Research from Professor Julia Day

5 ай бұрын

5:01

Serena Meng Presents Research from Professor Seirian Sumner

5 ай бұрын

5:01

Rachel Hanks Presents Research from Professor Tim Blackburn

5 ай бұрын

3:56

Zoë Subramanian Presents Research from Professor Richard Pearson

5 ай бұрын

56:34

People & Nature Lab Seminar - Prof. Nigel Dunnett: "A 'People-First' Approach to Nature in Cities"

6 ай бұрын

1:26:09

The Ben Collen Memorial Lecture 2021 - Professor Derek Tittensor, 7th June 2021

Жыл бұрын

29:56

SPECIAL EPISODE: Mini interviews at the British Ecological Society annual meeting

Жыл бұрын

43:14

Episode 2.5 Spot the difference: academic research and working for Natural England

Жыл бұрын

42:28

Episode 2.4 Academia in Nigeria, a dream of teaching

Жыл бұрын

41:52

Episode 2.3 Translating research into action and being gay in academia

Жыл бұрын

40:02

Episode 2.1 Conservation research and academic life in Madagascar

Жыл бұрын

36:21

Episode 2.2 Badger creams, tiger farms, and Seoul’s population of Amur leopards

Жыл бұрын

43:54

SPECIAL EPISODE: Ecology Across Borders conference December 2021

2 жыл бұрын

46:26

Episode 4: Dr Susanne Vogel, Postdoctoral researcher, Aarhus University, Denmark

3 жыл бұрын

26:24

Episode 5: Owen Middleton, Final year PhD Student, University of Sussex

3 жыл бұрын

45:22

Episode 2: Matt Davis/ Diva Attenbra, PhD Candidate, University of New South Wales, Australia

3 жыл бұрын

43:08

Episode 3: Dr Rob Cooke, UK CEH and Dr Conor Waldock, ETHZ Zürich and WSL Birmensdorf.

3 жыл бұрын

28:16

Episode 1: Carolyn Thompson, Primatologist and PhD student, UCL/ZSL

3 жыл бұрын

58:37

Ben Collen Memorial Lecture 2020 - Professor Julia Jones - 2nd March 2020

4 жыл бұрын

19:22

Do we need so many species?

4 жыл бұрын

12:54

Are we in the midst of a sixth mass extinction?

4 жыл бұрын

54:27

Richard Pearson’s inaugural lecture on being appointed Professor of Ecology at UCL

5 жыл бұрын

16:41

Reading and writing a scientific paper, Part 1: What is ‘the scientific literature’?

7 жыл бұрын

5:27

Reading and writing a scientific paper, Part 3: How can I get great marks?

7 жыл бұрын

13:57

Reading and writing a scientific paper, Part 2: How to write a research paper

7 жыл бұрын

2:45

NERC IAA Slideshow

9 жыл бұрын

26:42

Applications V: Predicting species’ invasions

9 жыл бұрын

Пікірлер

@space-time-somdeep 9 ай бұрын

Fascinating topic.. specially seeing from a remote sensing and gis prospective

@ebereosuagwu9755 Жыл бұрын

Thank you Charlie Outhwaite for this opportunity. I love it, I had a beautiful time-out with you.

@akbarjan07 Жыл бұрын

Thank you very much, Sir! It is a very defining and informative lecture for writing research papers or reviewing papers

@IAKhan-km4ph Жыл бұрын

nice

@ellalewis8098 2 жыл бұрын

very useful, thank you!! lovely illustrations

@dermochelys 2 жыл бұрын

Great episode, thank you!

@eprohoda 3 жыл бұрын

wooohoo!Thank you. very excellent UCL- ;))

@zenebeabay3207 3 жыл бұрын

Know i say tanks

@qasimahmad6714 3 жыл бұрын

Hi..i am absolutely beginner.... i have only presence data... but what i am watching in different videos , people are taking background data for MaxEnt software? from where it come. Do Maxent automatically generate this background file. If not then how can i make background data file especially in MaxEnt software.....? is it possible to separately make file in R and then used that file for MaxEnt software..

@qasimahmad6714 3 жыл бұрын

@miguelguerreiro5280 3 жыл бұрын

Richard Pearson is the professor to go for species distribution and ecological niche models.

@hafizadam1938 3 жыл бұрын

Thank you so much

@tasabeehahmed3120 3 жыл бұрын

Thanks you

@MM-uj8fu 3 жыл бұрын

I found this quite helpful. Thanks a million.

@MM-uj8fu 3 жыл бұрын

Thanks

@claymarzobestgoofy 3 жыл бұрын

Brilliant

@thananhkhotathoom1460 4 жыл бұрын

Great! I learned a lots from the lectures

@aliyahbhatbhat8458 5 жыл бұрын

Thank you so much sir. I am planning to take niche distribution modelling and climate change as my research topic, your vedioes proved very benificial for me. All my concepts got cleared and now i fully understand this very topic.

@clickmintaka1232 5 жыл бұрын

Hi. If you want know more about me then please subscribe to my channel as named as click mintaka and share it your all friends please...

@gebrehiwotgebreab5780 5 жыл бұрын

Thank you for your lecture. I have one question how can we eliminate multicollinearity in the environmental variable.

@wyclifeoluoch9376 5 жыл бұрын

First, run Pearson correlation within all your independent variables and, ideally, any two variables with r > 0.8, you should drop one. To decide on which one to drop, check their contribution/importance in explaining the distribution of your species (easy to do in MaxEnt) and drop the less important one.

@abdelatiflaroui5639 5 жыл бұрын

amazing, thanks

@郝秀青 5 жыл бұрын

thanks UCL and prof.Pearson~

@joshtwining1802 5 жыл бұрын

Hi, thank you for uploading this interesting lecture to youtube. I am a PhD student at Queen's University, Belfast. At the end of the lecture you were talking about how to evaluate your models. Is there a lecture available on this?

@gebrehiwotgebreab5780 6 жыл бұрын

Thank you for your lecture. I have one question how can we eliminate multicollinearity in the environmental variable.

@gebrehiwotgebreab5780 6 жыл бұрын

Hi how can I eliminate multicollinearity relation among the bioclim variable

@DregdenY0r 6 жыл бұрын

If you have variables that are highly correlated you'll want to discard the redundant ones and construct the model without them

@maxwellc.obiakara5558 6 жыл бұрын

Hi, you can either build a correlation matrix for your variables and select the least correlated variables (usually, -0.7 < r < +0.7) or use the Variable Inflation Factor in the usdm package: cran.r-project.org/web/packages/usdm/usdm.pdf

@lenaarc 6 жыл бұрын

thank you soo much for this excellent lectures!

@lenaarc 6 жыл бұрын

Muy útil muchas gracias !

@fidelrodriguez536 6 жыл бұрын

Hello What is the main difference between hábitat use and ecological nech

@TheSerranidae 7 жыл бұрын

Thank you Professor Pearson for share your knowledge for free...This structure has been very useful in my dissertation writing paper process! Great job!

@Namecomelater 7 жыл бұрын

thanks so much! this series of lectures has been fantastic :D

@Namecomelater 7 жыл бұрын

i've been studying SDMs for a year now and would recommend this to anyone that's interested in them

@qasimahmad6714 3 жыл бұрын

@@Namecomelater Hi..i am absolutely beginner.... i have only presence data... but what i am watching in different videos , people are taking background data for MaxEnt software? from where it come. Do Maxent automatically generate this background file. If not then how can i make background data file especially in MaxEnt software.....? is it possible to separately make file in R and then used that file for MaxEnt software..

@zamanshigari3824 7 жыл бұрын

LOVE AND RESPECT SIR,I AM DOCTORAL STUDENT FOUCUSING ON BIGCAT,SO I NEED YOUR MORE HELP FOR THIS MODELL,CAN YOU EMAIL ME IN PDF ,[email protected]

@otienoachieng7129 7 жыл бұрын

Many thanks for this. Its really been helpful.

@Pearlspocket 7 жыл бұрын

thank you ! the professor is great !

@ryanlam986 7 жыл бұрын

Around the 14 minute mark, you referenced an author by the name of "Liu" as additional literature to read about presence and absence data. Can you clarify his full name and potentially a publication that you would recommend?

@UCLCBER 7 жыл бұрын

Hi Ryan, sure it can be found here: Canran Liu et al. 2005. Selecting thresholds of occurrence in the prediction of species distributions. Ecography 28:385-393.

@belayejigu6424 3 жыл бұрын

Liu et al., 2005

@jkpanopio9280 8 жыл бұрын

This lecture series is very informative and useful. Thank you UCL and Dr. Pearson for uploading this lecture for free. Kudos and keep up the good work!