TY - DATA T1 - Supplementary Material 5: Addressing spatial autocorrelation from Human infectious disease burdens decrease with urbanization but not with biodiversity PY - 2017/03/27 AU - Chelsea L. Wood AU - Alex McInturff AU - Hillary S. Young AU - DoHyung Kim AU - Kevin D. Lafferty UR - https://rs.figshare.com/articles/journal_contribution/Supplementary_Material_5_Addressing_spatial_autocorrelation_from_Human_infectious_disease_burdens_decrease_with_urbanization_but_not_with_biodiversity/4754314 DO - 10.6084/m9.figshare.4754314.v2 L4 - https://ndownloader.figshare.com/files/7874161 KW - Infectious disease KW - disability-adjusted life year KW - dilution effect KW - global change N2 - In geographic studies, replicates (e.g., countries) may be non-independent due to their proximity, a problem termed spatial autocorrelation. This non-independence is problematic because it can inflate Type I error. Here, we describe our approach to addressing spatial autocorrelation in our analysis. ER -