
Using Big Data to Measure Environmental Inclusivity in Cities
Author(s) -
James Dacey
Publication year - 2021
Publication title -
eos
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/2021eo154985
Subject(s) - measure (data warehouse) , geography , big data , environmental science , computer science , database , data mining
Lower-income urban communities bear the brunt of environmental burdens, even in wealthy green cities around the world.