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Relationship between total NTL and various elements in Indi..:

Guhuai Han (11944746) ; Tao Zhou (117050) ; Yuanheng Sun (11616526).
https://figshare.com/articles/figure/Relationship_between_total_NTL_and_various_elements_in_Indian_state-level_administrative_regions_/18339534. , 2022

Link: https://doi.org/10.1371/journal.pone.0262503.g006

RT Journal
T1 <Title>Relationship between total NTL and various elements in Indian state-level administrative regions</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_18339534&Exemplar=1&LAN=DE
				
A1 Guhuai Han (11944746)
A1 Tao Zhou (117050)
A1 Yuanheng Sun (11616526)
A1 Shoujie Zhu (11944749)
YR 2022
K1 Cell Biology
K1 Ecology
K1 Science Policy
K1 Environmental Sciences not elsewhere classified
K1 Biological Sciences not elsewhere classified
K1 several statistical metrics
K1 gross domestic product
K1 given special attention
K1 density data )
K1 total data )
K1 include simple summation
K1 gdp becomes weak
K1 gdp )
K1 population
K1 2 </ sup
K1 div >< p
K1 multiple regression experiments
K1 india </ p
K1 >< sup
K1 r </
K1 total regression
K1 summation normalized
K1 multiple regression
K1 univariate regression
K1 two treatments
K1 time light
K1 road networks
K1 relatively comprehensive
K1 region area
K1 pearson '
K1 many cases
K1 important influence
K1 highly influenced
K1 highly developed
K1 every parameter
K1 different situations
K1 different scales
K1 different countries
K1 correlation coefficient
K1 comprehensive indicator
K1 carbon emissions
K1 among provinces
K1 administrative region
K1 administrative area
JF https://figshare.com/articles/figure/Relationship_between_total_NTL_and_various_elements_in_Indian_state-level_administrative_regions_/18339534
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0262503.g006
DO https://doi.org/10.1371/journal.pone.0262503.g006
SF ELIB - SuUB Bremen

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