North

Box and Whisker Plot

Correlation Plot

Model

## 
## Call:
## glm(formula = choice ~ proportion_water + proportion_developed + 
##     proportion_barren + proportion_forest + proportion_shrub + 
##     proportion_grassland + proportion_wetland, family = binomial(link = "logit"), 
##     data = deer_north, na.action = "na.fail")
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -3.5141  -0.9548   0.0716   1.0637   2.6078  
## 
## Coefficients:
##                        Estimate Std. Error z value Pr(>|z|)    
## (Intercept)           -0.839731   0.003806 -220.65   <2e-16 ***
## proportion_water      -2.767621   0.097251  -28.46   <2e-16 ***
## proportion_developed  -2.846081   0.044808  -63.52   <2e-16 ***
## proportion_barren    -30.419314   0.875381  -34.75   <2e-16 ***
## proportion_forest      4.146895   0.012276  337.80   <2e-16 ***
## proportion_shrub      13.811528   0.354119   39.00   <2e-16 ***
## proportion_grassland  -1.622923   0.131687  -12.32   <2e-16 ***
## proportion_wetland     5.924088   0.037141  159.50   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 1770406  on 1277077  degrees of freedom
## Residual deviance: 1560657  on 1277070  degrees of freedom
## AIC: 1560673
## 
## Number of Fisher Scoring iterations: 5

Predictive Raster

South

Box and Whisker Plot

Correlation Plot

Model

## 
## Call:
## glm(formula = choice ~ proportion_water + proportion_developed + 
##     proportion_barren + proportion_decidousforest + proportion_evergreenforest + 
##     proportion_mixedforest + proportion_shrub + proportion_grassland + 
##     proportion_wetland, family = binomial(link = "logit"), data = deer_south, 
##     na.action = "na.fail")
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -1.7173  -1.1581   0.1768   1.1313   4.0012  
## 
## Coefficients:
##                             Estimate Std. Error  z value Pr(>|z|)    
## (Intercept)                 -0.29778    0.00549  -54.239   <2e-16 ***
## proportion_water            -3.15698    0.34077   -9.264   <2e-16 ***
## proportion_developed        -4.03739    0.04482  -90.080   <2e-16 ***
## proportion_barren          -41.17711    1.40839  -29.237   <2e-16 ***
## proportion_decidousforest    0.86818    0.00710  122.277   <2e-16 ***
## proportion_evergreenforest  -5.10042    0.04397 -116.009   <2e-16 ***
## proportion_mixedforest       3.03847    0.04343   69.960   <2e-16 ***
## proportion_shrub             1.72189    0.03488   49.367   <2e-16 ***
## proportion_grassland        -3.80726    0.04282  -88.909   <2e-16 ***
## proportion_wetland         -25.91868    0.60420  -42.898   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 2077936  on 1498913  degrees of freedom
## Residual deviance: 2005962  on 1498904  degrees of freedom
## AIC: 2005982
## 
## Number of Fisher Scoring iterations: 6

Predictive Raster