This research project was initiated to investigate and predict wildfire risk under climate change through a comparative analysis of two different wildfire indices, based on the Coupled Model Intercomparison Project Phase 6 multi-model ensemble. This dataverse will store the source codes applied to calculate the wildfire indices and to conduct the machine learning analysis.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 2 of 2 Results
Codes for machine learning and Shapley value analysis
Mar 18, 2024
HE, Yan; ZHOU, Zixuan; IM, Eun-Soon, 2024, "Codes for machine learning and Shapley value analysis", https://doi.org/10.14711/dataset/9ZOATO, DataSpace@HKUST, V2
This dataset contains the codes for machine learning and Shapley value analysis over global land and two single spots (Amazona and Southern New South Wales). We have customized the Shapley Value visualization tools based on the original package, so please update the _beeswarm.py...
Codes for generating FFDI and FWI
Mar 15, 2024
HE, Yan; ZHOU, Zixuan; IM, Eun-Soon, 2024, "Codes for generating FFDI and FWI", https://doi.org/10.14711/dataset/K1IHCP, DataSpace@HKUST, V1
This dataset contains the calculation codes of FFDI and FWI.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.