Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Colin J Torney"'
Publikováno v:
Ecological Informatics, Vol 84, Iss , Pp 102853- (2024)
It is becoming increasingly important for wildlife managers and conservation ecologists to understand which resources are selected or avoided by an animal and how to best predict future spatial distributions of animal populations in the long term. Ho
Externí odkaz:
https://doaj.org/article/644c623f08554cfd893d2752aff7bbe8
Publikováno v:
Ecosphere, Vol 15, Iss 4, Pp n/a-n/a (2024)
Abstract Telemetry has enabled ecologists to link animal movement trajectories and environmental features at a fine spatiotemporal resolution; however, the effects of social interactions on individual choice within large mobile groups remain largely
Externí odkaz:
https://doaj.org/article/34e78bddcad743f28bcf97f8b7b131df
Autor:
Colin J. Torney, Megan Laxton, David J. Lloyd‐Jones, Edward M. Kohi, Howard L. Frederick, David C. Moyer, Chediel Mrisha, Machoke Mwita, J. Grant C. Hopcraft
Publikováno v:
Methods in Ecology and Evolution, Vol 14, Iss 1, Pp 77-86 (2023)
Abstract Statistical models use observations of animals to make inferences about the abundance and distribution of species. However, the spatial distribution of animals is a complex function of many factors, including landscape and environmental feat
Externí odkaz:
https://doaj.org/article/fccdfdcf18d04a288656aeeacf59b83d
Autor:
Cyrus M. Kavwele, Colin J. Torney, Thomas A. Morrison, Sidney Fulford, Majaliwa M. Masolele, Joseph Masoy, J. Grant C. Hopcraft
Publikováno v:
Ecological Solutions and Evidence, Vol 3, Iss 3, Pp n/a-n/a (2022)
Abstract Human activities are transforming landscapes and altering the structure and functioning of ecosystems worldwide and often result in sharp contrasts between human‐dominated landscapes and adjacent natural habitats that lead to the creation
Externí odkaz:
https://doaj.org/article/bc27fb7b671a46898b264f1349f922eb
Publikováno v:
Movement Ecology, Vol 9, Iss 1, Pp 1-11 (2021)
Abstract Background In recent years the field of movement ecology has been revolutionized by our ability to collect high-accuracy, fine scale telemetry data from individual animals and groups. This growth in our data collection capacity has led to th
Externí odkaz:
https://doaj.org/article/fc734391a12e49faaa9ce18bd13c4a28
Publikováno v:
Physical Review Research, Vol 3, Iss 4, p 043074 (2021)
Emergent dynamics of complex systems are observed throughout nature and society. The coordinated motion of bird flocks, the spread of opinions, fashions and fads, or the dynamics of an epidemic, are all examples of complex macroscale phenomena that a
Externí odkaz:
https://doaj.org/article/78d5eee653c94e72bef3e92056a63b0b
Autor:
Colin J. Torney, Megan Laxton, David J. Lloyd‐Jones, Edward M. Kohi, Howard L. Frederick, David C. Moyer, Chediel Mrisha, Machoke Mwita, J. Grant C. Hopcraft
Publikováno v:
Methods in Ecology and Evolution. 14:77-86
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee783220dbff73743edf1ae4dc6b4145
https://doi.org/10.1111/2041-210x.13941
https://doi.org/10.1111/2041-210x.13941
Publikováno v:
PLoS ONE, Vol 14, Iss 9, p e0222600 (2019)
Individuals of many species utilise social information whilst making decisions. While many studies have examined social information in making large scale decisions, there is increasing interest in the use of fine scale social cues in groups. By exami
Externí odkaz:
https://doaj.org/article/e511b9f858c646a4a48251d27ee6ce53
Publikováno v:
Statistics and Computing. 33
A natural extension to standard Gaussian process (GP) regression is the use of non-stationary Gaussian processes, an approach where the parameters of the covariance kernel are allowed to vary in time or space. The non-stationary GP is a flexible mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a1b763cd40b62a7e3adffb77d788ff5
https://doi.org/10.1007/s11222-023-10210-w
https://doi.org/10.1007/s11222-023-10210-w
Publikováno v:
Journal of the Royal Society, Interface. 20(198)
Inferring the underlying processes that drive collective behaviour in biological and social systems is a significant statistical and computational challenge. While simulation models have been successful in qualitatively capturing many of the phenomen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e074003f491c4066b88b4f6a178aa4a0
https://pubmed.ncbi.nlm.nih.gov/36596456
https://pubmed.ncbi.nlm.nih.gov/36596456