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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Abstract

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
Refereed:Yes
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
Publisher:Wiley
ISSN:1180-4009
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