Investigating important urban characteristics in the formation of urban heat islands: a machine learning approach
S. Yoo. Journal of Big Data, (2018)Combines LUR with Urban Heatisland temperature data. Uses Random Forests for Prediction and PCA to reduce dimensionality..
DOI: 10.1186/s40537-018-0113-z
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%0 Journal Article
%1 Yoo2018
%A Yoo, Sanglim
%D 2018
%J Journal of Big Data
%K Climate
%R 10.1186/s40537-018-0113-z
%T Investigating important urban characteristics in the formation of urban heat islands: a machine learning approach
%U https://doi.org/10.1186/s40537-018-0113-z
%V 5
@article{Yoo2018,
added-at = {2020-10-15T14:36:56.000+0200},
author = {Yoo, Sanglim},
biburl = {https://www.bibsonomy.org/bibtex/242f984c764e157ea2b708e5563d14a8c/annakrause},
doi = {10.1186/s40537-018-0113-z},
file = {:Yoo_Article_InvestigatingImportantUrbanCha.pdf:PDF},
interhash = {434e560d339b7c63e3ccbadd5db261f2},
intrahash = {42f984c764e157ea2b708e5563d14a8c},
journal = {Journal of Big Data},
keywords = {Climate},
note = {Combines LUR with Urban Heatisland temperature data. Uses Random Forests for Prediction and PCA to reduce dimensionality.},
timestamp = {2020-10-15T14:44:42.000+0200},
title = {Investigating important urban characteristics in the formation of urban heat islands: a machine learning approach},
url = {https://doi.org/10.1186/s40537-018-0113-z},
volume = 5,
year = 2018
}