Figure 5
From: Revealing the air pollution burden associated with internal Migration in Peru
Spatial autocorrelation of PM2.5. (A) Global Moran’s I and. (B) Local Getis-Ord Gi* (right). (C) Standardized migration rates in clusters of PM2.5 relative to type of migration (no migration, rural-to-rural, rural-to-urban, urban-to-rural, and urban-to-urban). Clusters of PM2.5 were categorized based on the Gi* statistic sign in high- (hotspot) or low- (coldspot) concentration areas and percentile (90%, 95%, 99%) of the z-distribution. Maps and figures were produced using R software v.3.6.2 (R Core Team (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/).
