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Degradation-Loss Sensitivity Analysis in Multi-Objective Land Allocation
| Description: | Dataset generated by Monte Carlo sampling of a Multi-Objective Land Allocation that incorporates a model of environmental degradation. |
| Authors: | Cabrera, Sierra; Queen's University Babayan, Irina; Queen's University Aliahmadi, Hazhir; Queen's University Chen, Dongmei; Queen's University van Anders, Greg; Queen's University;  0000-0002-9746-2484 |
| Keywords: | Multi-Objective Land Allocation Climate Change Monte Carlo Sampling Statistical Physics Geographic Information Systems |
| Field of Research: | Social and economic geography > Urban and regional planning > Land use and environmental planning
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| Publication Date: | 2023-11-22 |
| Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
| Funder: | Natural Sciences and Engineering Research Council; RGPIN-2019-05655 Natural Sciences and Engineering Research Council; DGECR-2019-00469 Natural Sciences and Engineering Research Council; RGPIN-2019-05773 |
| URI: | https://doi.org/10.20383/103.0842 |
| Related Identifiers: |
This dataset cites
This dataset cites
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| Geographic Coverage: | Place Name Dongxihu District City Wuhan Province / Territory / State Hubei Country China |
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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
Cabrera, S., Babayan, I., Aliahmadi, H., Chen, D., van Anders, G. (2023). Degradation-Loss Sensitivity Analysis in Multi-Objective Land Allocation. Federated Research Data Repository. https://doi.org/10.20383/103.0842
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