L
Lucy Bastin
Researcher at Aston University
Publications - 95
Citations - 3552
Lucy Bastin is an academic researcher from Aston University. The author has contributed to research in topics: Data quality & Geospatial analysis. The author has an hindex of 30, co-authored 94 publications receiving 2968 citations. Previous affiliations of Lucy Bastin include Applied Science Private University & University of Nottingham.
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Journal ArticleDOI
Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information
Linda See,Peter Mooney,Giles M. Foody,Lucy Bastin,Alexis Comber,Jacinto Estima,Steffen Fritz,Norman Kerle,Bin Jiang,Mari Laakso,Hai-Ying Liu,Grega Milčinski,Matej Nikšič,Marco Painho,Andrea Pődör,Ana-Maria Olteanu-Raimond,Martin Rutzinger +16 more
TL;DR: A snapshot of the role of citizens in crowdsourcing geographic information is provided and a guide to the current status of this rapidly emerging and evolving subject is provided.
Journal ArticleDOI
Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale.
W. Daniel Kissling,Jorge A. Ahumada,Anne Bowser,Miguel Fernandez,Miguel Fernandez,Néstor Fernández,Enrique Alonso García,Robert P. Guralnick,Nick J. B. Isaac,Steve Kelling,W. Los,Louise McRae,Jean-Baptiste Mihoub,Jean-Baptiste Mihoub,Matthias Obst,Monica Santamaria,Andrew K. Skidmore,Kristen J. Williams,Donat Agosti,Daniel Amariles,Christos Arvanitidis,Lucy Bastin,Francesca De Leo,Willi Egloff,Jane Elith,Donald Hobern,David Martin,Henrique M. Pereira,Graziano Pesole,Johannes Peterseil,Hannu Saarenmaa,Dmitry Schigel,Dirk S. Schmeller,Dirk S. Schmeller,Nicola Segata,Eren Turak,Eren Turak,Paul F. Uhlir,Brian Wee,Alex Hardisty +39 more
TL;DR: The challenges of a ‘Big Data’ approach to building global EBV data products across taxa and spatiotemporal scales, focusing on species distribution and abundance are assessed.
Journal ArticleDOI
The distribution of plant species in urban vegetation fragments
Lucy Bastin,Chris D. Thomas +1 more
TL;DR: In this article, the presence and absence of 22 plant species of various growth forms and habitat associations were analysed in 423 habitat fragments totalling 10.4 km2 in a 268 km2 urban and suburban region, in Birmingham, UK.
Journal ArticleDOI
Comparison of fuzzy c-means classification, linear mixture modelling and MLC probabilities as tools for unmixing coarse pixels
TL;DR: In this article, three different soft classifiers (fuzzy c-means classifier, linear mixture model, and probability values from a maximum likelihood classification) were used for unmixing of coarse pixel signatures to identify four land cover classes (i.e., supervised classifications).
Building essential biodiversity variables(EBVs) of species distribution and abundanceat a global scale
W. Daniel Kissling,Jorge A. Ahumada,Anne Bowser,Miguel Fernandez,Néstor Fernández,Enrique Alonso-García,Robert P. Guralnick,Nick J. B. Isaac,Steve Kelling,W. Los,Louise McRae,Jean-Baptiste Mihoub,Matthias Obst,Monica Santamaria,Andrew K. Skidmore,Kristen J. Williams,Donat Agosti,Daniel Amariles,Christos Arvanitidis,Lucy Bastin,Francesca De Leo,Willi Egloff,Jane Elith,Donald Hobern,David Martin,Henrique M. Pereira,Graziano Pesole,Johannes Peterseil,Hannu Saarenmaa,Dmitry Schigel,Dirk S. Schmeller,Nicola Segata,Eren Turak,Paul F. Uhlir,Brian Wee,Alex Hardisty +35 more
TL;DR: The concept of essential biodiversity variables (EBVs) was introduced tostructure biodiversity monitoring globally, and to harmonize and standardize biodiversity data from disparate sourcesto capture a minimum set of critical variables required to study, report and manage biodiversity change as discussed by the authors.