Our heads-up digitizing identified a total of 1,867 homes in 2010 (5X% exurban). Exurban homes built prior to 2010 have significantly larger viewscapes than randomly-distributed (Z times on average), suburban (X times on average), and rural (Y times on average) homes (Figure BBa). These same exurban homes were visible to significantly fewer neighbors compared to suburban homes, but more visible than rural homes. Exurban homes were also visible to XX fewer neighbors than what may be expected by chance (Figure BBb).

An additional 2XX homes were built between 2010 and 2016 with XX% located in low density exurban and rural settings. T-test show that exurban homes built after 2010 had significantly larger viewscapes (P < 0.00X) but possessed less privacy (P< 0.00X) as the region grew. The auto-logistic model of new growth showed that viewscape privacy (P = 0.003) and NDVI (P < 0.001) were the most significant predictors of the probability of exurban development between 2010 and 2016 (write equation here). Proximity to primary roads and the size and ruggedness of exurban viewscapes were not significant predictors after accounting for privacy and NDVI. Application of the model in the GIS produced a predictive map of the exurban development probability across the study region (Figure DD). 

1. Exurban viewscapes are larger, but they see fewer neighbors 

Would expect random homes that are "pushed" to the edges of the study area to have larger viewscapes. Supports findings in Vukomanovic and Orr (2014) about the importance of visual scale as a visual quality metric. 

2. The fact that they see fewer neighbors 

scrap: Homes built through 2010 represent a period of first gradual (1970-XXXX) and then rapid (XXXX) growth, which virtually came to a stop with the great recession. This pre-2010 period of housing growth represents a wide-range of drivers, while XX% of the new homes after 2010 has been exurban.

Figure AA: Study Area Map

Figure BB: Photos of exurban development

Figure CC: a) Viewscape Size by Density Class; b) Privacy by Density Class ) [do 3 pairwise Wilcoxon tests and include bar graph (include the statistics in the caption)]

Figure DD: Spatially continuous, all-possible viewscapes visualization: a) viewscape size, b) privacy, c) greenness, d) terrain ruggedness

Figure EE: Predictive map of the probability of exurban home development (INCLUDE EQUATION AGAIN SO FIGURE STANDS ON ITS OWN). Locations with the highest likelihood of exurban development occur in places that exhibit opportunities to A) view the scenic beauty of vegetated "green" landscapes....., B) build in highly private, low density settings, and c) the combination of green and private viewscapes.

Jelena To-Do:

-Figure BB and the wilcoxon tests

SCRAPS:

The region provides a unique opportunity for studying drivers of exurban viewscapes as the surrounding mountains provide scenic vistas with vertical visual boundaries that constrain residents’ views to the interior of the Plain and the inward-facing mountain slopes