Scott, E. M. (2023) Framing data science, analytics and statistics around the digital earth concept. Environmetrics, 34(2), e2732. (doi: 10.1002/env.2732)
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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: | Published |
| 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 Author |
| First Published: | First published in Environmetrics 34(2): e2732 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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