vault backup: 2026-04-14 13:17:01
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# 1990 K Street
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# 1990 K Street
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High rise apartment
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## My Role
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Full takeoff, work beginning [[2026-02-11]].
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Shadowed by project engineer Christopher Glass
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at the tail end of takeoff.
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id: 2026-04-14T10:21:47-04:00
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aliases: []
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title: 2026-04-14 10:21:47
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tags:
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- authorship/original
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- destiny/permanent
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- status/draft
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- type/periodic/timestamped
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dg-publish: true
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date-created: 2026-04-14T10:21:47-04:00
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daily: "[[2026-04-14]]"
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weekly: "[[2026-W16]]"
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monthly: "[[2026-04]]"
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quarterly: "[[2026-Q2]]"
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yearly: "[[2026]]"
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---
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# 2026-04-14 10:21:47
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## Generating Well-Distributed Point Sets
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### General Resources
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[2D Point Sets](https://www.redblobgames.com/x/1830-jittered-grid/)
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[A Simple Solution for Shape Packing in 2D](https://www.gorillasun.de/blog/a-simple-solution-for-shape-packing-in-2d/)
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covers packing algorithms,
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mainly for use in generative graphics,
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### Methods
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#### Jittered Grid
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In **jittered grid** sampling,
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points are generated in a grid
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(usually square or hexagonal)
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then given a small random offset
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called a **jitter**.
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#### Poisson-Disc Sampling
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[Poisson-Disc Sampling](https://www.jasondavies.com/poisson-disc/)
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[A Spatial Data Structure for Fast Poisson-Disk Sample Generation](https://web.archive.org/web/20160303234744/http://www.cs.virginia.edu/~gfx/pubs/antimony/)
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#### Lloyd Relaxation
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[Lloyd's algorithm - Wikipedia](https://en.wikipedia.org/wiki/Lloyd%27s_algorithm)
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[Lloyd’s Relaxation](https://www.jasondavies.com/lloyd/)
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#### Precomputed Blue Noise
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#### Real-Time Blue Noise
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[Recursive Wang Tiles for Real-Time Blue Noise](https://johanneskopf.de/publications/blue_noise/)
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### Implementations
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[2D point distributions / Fil | Observable](https://observablehq.com/@fil/2d-point-distributions)
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[Poisson Disk Sampling | cyCodeBase by Cem Yuksel](https://www.cemyuksel.com/cyCodeBase/soln/poisson_disk_sampling.html)
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[otto-link/PointSampler](https://github.com/otto-link/PointSampler)
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"is a modern C++ header-only library for generating (and labeling)
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random 2D, 3D, or n-dimensional points with configurable spatial distributions."
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