1.6 KiB
id, title, tags, daily
| id | title | tags | daily | |
|---|---|---|---|---|
| 2025-12-17T05:39:00-0500 | 2025-12-17 05:39:?? |
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2025-12-17 |
2025-12-17 05:39:??
%% statistical-modeling-for-construction-estimating %%
One aspect of construction-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 mathematics1 neither are readily applicable to building construction.
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 to the conceivably far more broad spatial statistics.
[!quote] Geographic data and information Spatial data or spatial information is broader class of data whose geometry is relevant but it is not necessarily georeferenced, such as in computer-aided design (CAD), see geometric modeling.
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worse still, the "space" studied in such disciplines is vector space where "distance" is a measure of similarity and physical geometry is rarely considered. ↩︎