Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tim J. Thom"'
Autor:
Clare H. Robinson, Jonathan P. Ritson, Danielle M. Alderson, Ashish A. Malik, Robert I. Griffiths, Andreas Heinemeyer, Angela V. Gallego-Sala, Anne Quillet, Bjorn J.M. Robroek, Chris Evans, Dave M. Chandler, David R. Elliott, Emma L. Shutttleworth, Erik A. Lilleskov, Ezra Kitson, Filipa Cox, Fred Worrall, Gareth D. Clay, Ian Crosher, Jennifer Pratscher, Jon Bird, Jonathan Walker, Lisa R. Belyea, Marc G. Dumont, Nichole G.A. Bell, Rebekka R.E. Artz, Richard D. Bardgett, Roxane Andersen, Simon M. Hutchinson, Susan E. Page, Tim J. Thom, William Burn, Martin G. Evans
Publikováno v:
Mires and Peat, Vol 29, Iss 02, Pp 1-36 (2023)
Globally, major efforts are being made to restore peatlands to maximise their resilience to anthropogenic climate change, which puts continuous pressure on peatland ecosystems and modifies the geography of the environmental envelope that underpins pe
Externí odkaz:
https://doaj.org/article/271ed4995dde4be88e11c018766b1671
Autor:
Ute Bradter, John D. Altringham, William E. Kunin, Tim J. Thom, Jerome O’Connell, Tim G. Benton
Publikováno v:
Environmental Data Science, Vol 1 (2022)
When one or several classes are much less prevalent than another class (unbalanced data), class error rates and variable importances of the machine learning algorithm random forest can be biased, particularly when sample sizes are smaller, imbalance
Externí odkaz:
https://doaj.org/article/f05a68de92564ee99101389af9441d19
Autor:
Chris D. Evans, Andy J. Baird, Sophie M. Green, Susan E. Page, Michael Peacock, Mark S. Reed, Neil L. Rose, Rob Stoneman, Tim J. Thom, Dylan M. Young, Mark H. Garnett
Publikováno v:
Geo: Geography and Environment, Vol 6, Iss 1, Pp n/a-n/a (2019)
Externí odkaz:
https://doaj.org/article/aaa2960bf523493aa195f2f4c2d11876
Publikováno v:
Methods in Ecology and Evolution
Summary Including predictors in species distribution models at inappropriate spatial scales can decrease the variance explained, add residual spatial autocorrelation (RSA) and lead to the wrong conclusions. Some studies have measured predictors withi
Publikováno v:
Journal of Applied Ecology. 48:1057-1065
Summary 1. High-resolution vegetation maps are a valuable resource for conservation, land management and research. In Great Britain, the National Vegetation Classification (NVC) is widely used to describe vegetation communities. NVC maps are typicall