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+# 2025-12-17 05:39:??
+
+One aspect of estimating that I find most interesting,
+but that is criminally understudied,
+is the effect of building dimensions
+(footprint shape, floor area, stories, height)
+on total cost.
+
+Unfortunately, lack of interest in the subject extends beyond estimating.
+Discourse on spatial data seems to fall into one of two bins:
+* civil engineering
+* n-dimensional mathematics[^1]
+neither are readily applicable to building construction.
+
+[^1]: worse still, the "space" studied in such disciplines is
+    [vector space](https://en.wikipedia.org/wiki/Vector_space)
+    where "distance" is a measure of similarity
+    and physical geometry is rarely considered.
+
+Of the two, pure math would be be preferred---
+being generally more rigorous---
+but the first bin far outweighs the second.
+See the difference in content from
+[geostatistics](https://en.wikipedia.org/wiki/Geostatistics)
+to the conceivably far more broad
+[spatial statistics](https://en.wikipedia.org/wiki/Spatial_statistics).
+
+> [!quote] [Geographic data and information](https://en.wikipedia.org/wiki/Geographic_data_and_information)
+> **Spatial data** or **spatial information** is broader class of data
+> whose geometry is relevant
+> but it is not necessarily [georeferenced](https://en.wikipedia.org/wiki/Georeferenced "Georeferenced"),
+> such as in computer-aided design (CAD),
+> see [geometric modeling](https://en.wikipedia.org/wiki/Geometric_modeling "Geometric modeling").
+
+### Ambiguity
+
+New Note: [[ambiguity]]