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Causal machine learning methods for understanding land use and land cover change

Causal machine learning methods for understanding land use and land cover change
Causal machine learning methods for understanding land use and land cover change
0921-2973
Eigenbrod, F.
43efc6ae-b129-45a2-8a34-e489b5f05827
Alexander, Peter
9b0e0950-b6fa-414e-8bc0-c259dea3f36d
Apfel, Nicolas
ef94ae5f-26d2-420e-9ec2-a4e82b16d034
et al.
Eigenbrod, F.
43efc6ae-b129-45a2-8a34-e489b5f05827
Alexander, Peter
9b0e0950-b6fa-414e-8bc0-c259dea3f36d
Apfel, Nicolas
ef94ae5f-26d2-420e-9ec2-a4e82b16d034

Eigenbrod, F., Alexander, Peter and Apfel, Nicolas , et al. (2025) Causal machine learning methods for understanding land use and land cover change. Landscape Ecology. (In Press)

Record type: Article
Text
Deepland conceptual paper_LE_Perspective_Final - Accepted Manuscript
Restricted to Repository staff only until 16 January 2026.
Available under License Creative Commons Attribution.
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Accepted/In Press date: 16 December 2025

Identifiers

Local EPrints ID: 507663
URI: http://eprints.soton.ac.uk/id/eprint/507663
ISSN: 0921-2973
PURE UUID: 40dd77d3-3051-438f-bc72-944fe1d2c81a
ORCID for F. Eigenbrod: ORCID iD orcid.org/0000-0001-8982-824X

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Date deposited: 16 Dec 2025 18:24
Last modified: 20 Dec 2025 02:54

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Contributors

Author: F. Eigenbrod ORCID iD
Author: Peter Alexander
Author: Nicolas Apfel
Corporate Author: et al.

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