Framing data science, analytics and statistics around the digital earth concept

Scott, E. M. (2022) Framing data science, analytics and statistics around the digital earth concept. Environmetrics, (doi: 10.1002/env.2732) (Early Online Publication)

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Environmental data science can be shaped around the concepts of data streams (or the data deluge), and both data driven and process models. Together they lead to the concept of a digital earth. In this short opinion piece, I reflect on some of the challenges in truly realizing the digital earth concept.

Item Type:Articles
Additional Information:I acknowledge research funding received from UKRI-NERC Feasibility Study - NE/T005564/1, NERC Constructing a Digital Environment Grant.
Status:Early Online Publication
Glasgow Author(s) Enlighten ID:Scott, Professor Marian
Authors: Scott, E. M.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Environmetrics
ISSN (Online):1099-095
Published Online:13 May 2022
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in Environmetrics 2022
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
307764A digital environment for water resourcesE Marian ScottNatural Environment Research Council (NERC)NE/T005564/1US - SFC Innovation Centre