Building Classification Using Random Forest to Develop a Geodatabase for Probabilistic Hazard Information-Reference-Cited by-同舟云学术

Building Classification Using Random Forest to Develop a Geodatabase for Probabilistic Hazard Information

Published:2022-08 Issue:3 Volume:23 Page:
ISSN:1527-6988
Container-title:Natural Hazards Review
language:en
Short-container-title:Nat. Hazards Rev.

Author:

Kim Jooho¹^ORCID,Hatzis Joshua J.²,Klockow Kim³,Campbell Patrick A.³

Affiliation:

1. Postdoctoral Research Associate, Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) and NOAA National Severe Storms Laboratory, National Weather Center, 120 David L Boren Blvd., Norman, OK 73072 (corresponding author). ORCID: .

2. Postdoctoral Research Associate, Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO), National Weather Center, 120 David L Boren Blvd., Norman, OK 73072.

3. Research Scientist, Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) and NOAA National Severe Storms Laboratory, National Weather Center, 120 David L Boren Blvd., Norman, OK 73072.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Social Sciences,General Environmental Science,Civil and Structural Engineering,Building and Construction

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29NH.1527-6996.0000561

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4. Automated classification metrics for energy modelling of residential buildings in the UK with open algorithms;Beck A.;Environ. Plann. B: Urban Anal. City Sci.,2020

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