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Table 1 List of explanatory variables for assessing the spatial distribution of heat-related mortality exceedances and loadings for extracted principal components

From: Fine-scale spatial variability of heat-related mortality in Philadelphia County, USA, from 1983-2008: a case-series analysis

  Component (% Variance Explained)
  1 (35.9)* 2 (16.4) 3 (10.2) 4 (7.7) 5 (5.5)* 6 (4.4)*
ZONING AND LAND USE
% Low Density Residential -.636 -.290 .122 .398 .017 .088
% Mid Density Residential -.402 -.456 .012 -.015 -.578 .087
% High Density Residential .702 .131 -.217 -.079 .449 -.129
% Recreational -.404 -.438 -.058 .304 .396 -.323
% Industrial .161 .020 .646 -.420 .229 .161
% Mixed Use -.073 .142 -.256 .394 .434 .592
% Commercial .045 .797 -.418 .015 .029 .036
% Building Coverage .514 .663 -.442 -.053 -.049 -.078
DEMOGRAPHICS
% White -.647 .610 .361 -.129 .046 -.060
% Black .471 -.648 -.513 .086 -.071 .051
% American Indian .655 .039 .457 .287 .012 -.028
% Asian -.017 .695 -.165 .144 -.244 .099
% Pacific Islander .400 .271 .255 .656 .003 .181
% Other race .615 .146 .541 .333 -.079 -.041
% Two or more races .500 .324 .292 .572 -.334 -.110
% Nonwhite .647 -.610 -.361 .129 -.046 .060
% Over age 65 -.345 .300 -.003 .142 .159 -.620
% Without hs diploma .799 -.135 .402 -.191 .107 -.095
Median per capita income -.651 .455 -.328 .181 .078 -.103
% Below Poverty Line .912 -.005 .006 .066 .266 .050
% Below 2x Poverty Line .925 -.115 .060 -.053 .202 -.033
% Living Alone over age 65 -.648 .044 .370 -.187 .095 .177
% Living Alone -.768 .260 .086 -.085 .200 .247
SURFACE TEMPERATURE       
Surface Temp. Image (5/15/2004) .762 .360 .001 -.332 -.201 .107
Surface Temp. Image (7/29/2008) .849 .340 -.152 -.261 -.124 .042
  1. Loadings greater than 0.6 or less than -0.6 are shown with bold text and statistically significant components in the regression model are identified with an asterisk