Visualization of features of a series of measurements with one-dimensional cellular structure

TL;DR

This paper introduces a visualization method for analyzing periodic features and instability zones in measurement series using smoothing algorithms and one-dimensional cellular automata, aiding in temporal series analysis.

Contribution

It presents a novel visualization technique combining smoothing and cellular automata for analyzing measurement series, especially useful for web-based thematic data.

Findings

Effective visualization of periodic constituents

Identification of instability areas in measurement series

Applicable to web-based thematic data analysis

Abstract

This paper describes the method of visualization of periodic constituents and instability areas in series of measurements, being based on the algorithm of smoothing out and concept of one-dimensional cellular automata. A method can be used at the analysis of temporal series, related to the volumes of thematic publications in web-space.