The Lewis World Map

A novel cartographic projection derived from structured mathematical principles — delivering measurable advantages in area distortion, coordinate addressing, and built-in error detection.

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~0.08
RMS Area Error
≥ 40%
Improvement vs. Lat-Long Grid
Built-in
Coordinate Integrity Checking
Multi-path
Cross-validation Architecture

Mathematical Foundation

Every design decision in the Lewis World Map traces to a mathematically justified principle — no arbitrary choices.

Optimal Sphere Sampling

A structured angular distribution achieves near-uniform coverage at any resolution level, with proven minimum area distortion benchmarked against established alternatives.

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Hierarchical Addressing

Every location on Earth carries a canonical address derived from a structured numerical sequence. Addresses are self-correcting — single-cell errors are detected automatically without external look-up tables.

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Geometric Constructibility

All structural parameters are finitely constructible — no transcendental constants enter the projection. Every calculation terminates in exact arithmetic, enabling reproducible results across all computing environments.

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Projection Comparison Journey

Explore the evolution from classical projections through modern approaches to the Lewis World Map. Each chapter presents a different cartographic solution with its mathematical foundation and distortion characteristics.

Chapter 1

The Fundamental Problem

Why perfect maps are mathematically impossible — and how we measure the compromise.

Chapter 2

Mercator Projection

1569 · Conformal cylindrical · Navigation standard for 450 years.

Chapter 3

Gall-Peters Projection

1855 · Equal-area cylindrical · Political fairness at the cost of shape accuracy.

Chapter 4

Winkel Tripel

1921 · Compromise · National Geographic standard since 1998.

Chapter 5

Fuller Dymaxion

1954 · Icosahedral · Pioneered the polyhedral approach to minimising local distortion.

Chapter 6

Structured Sphere Sampling

The angular distribution principle that achieves uniform coverage at every resolution level.

Chapter 7

The Lewis World Map

The novel projection — combining optimal sampling, hierarchical addressing, and integrity checking.

Chapter 8

Distortion Comparison

Quantitative analysis: Lewis World Map vs. all established projections.

Chapter 9

Resolution Hierarchy

Canonical zoom levels from a structured numerical sequence — not arbitrary power-of-two levels.

Chapter 10

Polyhedral Geometry

Why icosahedral structure minimises per-face distortion — and the geometric properties that make it constructible.

Chapter 11

Coordinate Integrity

Built-in error detection via mathematical identity relationships — no external validation required.

Chapter 12

Mathematical Discovery

Explore the symbolic relationships underlying the system architecture using protected notation.