Exploring the use of crowd generated geospatial content in improving the quality of ecological feature mapping

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Exploring the use of crowd generated geospatial content in improving the quality of ecological feature mapping

Generalisation and uncertainty in ecological data are hugely problematic for environmental monitoring and modelling analyses and as such, land use change calculations, global climate change monitoring and food security analyses suffer. Low resolution, incomplete and often inconsistent land cover dat...

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Bibliographic Details
Main Author:	Kinley, Laura Rhiannon
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2016
Subjects:	Ecological surveys Human computation
Online Access:	https://eprints.nottingham.ac.uk/33804/

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