Views Scores
The average unobstructed view of a given target as measured between the generated building and the target. Results are averaged by facade area to create an aggregate score of views within the proposed development district.
The following view metrics are configured by default and are provided in all self service studies.
Views - Park : Views measured from all generated buildings to all parks within the study.
Views - Existing Park : Views measured from all generated buildings to any existing parks located in the project context within the study.
Views - Water : Views measured from all generated buildings to nearby water features found by Delve to the within the study.
Additionally, Delve studies offer the ability to configure views to custom targets. Custom targets can be any buildings located in the surrounding context within the Delve model.
Note: It is possible that not all view metrics will be available in a study. Delve evaluated the surrounding context of a project to determine what view targets are present and which view metrics to enable
How are views measured?
Views are measured by selecting points from the facade and creating numerous lines of view. These lines of view are evenly spaced within a standard field of view to simulate the result of viewing from a window. A hit is recorded when a generated line of view from the test point on the facade of a generated building can reach the configured view target. A cumulative score is then calculated for each floor by averaging the results of all sampled points.
How to interpret view scores?
Sampled points with 30% or more of the sample lines reaching the target are deemed to have adequate open view access. A point with 80% or more sampled lines reaching the target means there are almost no obstructions to the views.
Large master plans with overall low building heights tend to have lower view access overall, while low density with tall towers tend to have higher view access. This pattern can vary considerably based on the selected view target and the density of the local district.
Data Sources
Existing buildings (OpenStreetMap)
Existing Parks (OpenStreetMap)
Existing Water Features (OpenStreetMap)