
TL;DR
This paper explores the mathematical properties of space-filling curves like Peano and Lebesgue, discusses their theoretical foundations such as the Hahn-Mazurkiewicz theorem, and highlights practical applications like Google's S2 Cells.
Contribution
It provides a comprehensive overview of space-filling curves, their key properties, and their relevance in real-world applications, connecting theory with practice.
Findings
Characterization of space-filling curves via the Hahn-Mazurkiewicz theorem
Properties of Peano's and Lebesgue's curves
Application of Hilbert curves in Google's S2 Cells
Abstract
We examine space-filling curves, which are surjective continuous maps from to some higher-dimensional space, usually the unit square . In particular, we define Peano's curve and Lebesgue's curve, and state some of their properties. We also discuss the Hahn-Mazurkiewicz theorem, which characterizes those subsets of that are the image of a space-filling curve. Finally, we discuss real-world applications of Hilbert curves, in particular Google's Cells.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Numerical Analysis Techniques
