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Mar 18, 2024 - Evaluating two wildfire indices and projecting future risks based on CMIP6 multi-model projections
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...
Python Source Code - 44.3 KB - MD5: 95f77842584d6e194edc3fd54225121e
Python Source Code - 7.1 KB - MD5: de87681988f9e11cf6a67e3710a1d5df
Python Source Code - 34.9 KB - MD5: ecf526403dc904c321a6c15e52426b6a
Python Source Code - 2.6 KB - MD5: 48a19eb170ddcbf0b891aa64dc06358b
Python Source Code - 5.4 KB - MD5: 1a0fc7eab52989ff694281df4f4d781c
Python Source Code - 6.7 KB - MD5: bba342d728bd7bb0a369eda9a71fac8f
Python Source Code - 5.4 KB - MD5: b28274ad1801a31b76a448f3ae27ba48
Python Source Code - 6.7 KB - MD5: 27579b79c257e3e67f1df5828476db63
Mar 15, 2024 - Evaluating two wildfire indices and projecting future risks based on CMIP6 multi-model projections
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.
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