How to Download
FRDR offers multiple ways to download datasets. Learn more in our documentation.
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
|
| Publication Date: | 2023-11-22 |
| Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
| Funder: | Natural Sciences and Engineering Research Council of Canada; RGPIN-2019-05655 Natural Sciences and Engineering Research Council of Canada; DGECR-2019-00469 Natural Sciences and Engineering Research Council of Canada; RGPIN-2019-05773 |
| URI: | https://doi.org/10.20383/103.0842 |
| Related Identifiers: |
This dataset cites
This dataset cites
|
| Geographic Coverage: | Place Name Dongxihu District City Wuhan Province / Territory / State Hubei Country China |
Files in Dataset
No files uploaded
Download entire dataset using Globus Transfer. This method requires a Globus account and installing software. Watch Video: Get Started with FRDR: Download a Dataset
Files for this dataset are currently being backed up so it cannot be approved at this time. Please try later.
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
Footer Second
Footer Third
