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The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
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The z-transform is a powerful tool for analyzing practical discrete-time systems, often represented by linear difference equations. Solving a higher-order difference equation requires knowledge of the input signal and the initial conditions up to one term less than the order of the equation.
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Related Experiment Video

Updated: Jan 26, 2026

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
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Generational differences in spatial mobility: A study with mobile phone data.

Anu Masso1, Siiri Silm2, Rein Ahas2

  • 1ETH Zürich, Switzerland; University of Tartu, Estonia; Talinn University of Technology Estonia.

Population, Space and Place
|April 16, 2019
PubMed
Summary

Generational differences in spatial mobility show that while mobility decreases with age, older generations exhibit "delayed mobility" patterns, and younger generations are developing an "immobility culture" regarding cross-border travel.

Keywords:
activity spacegenerational differencesmobile phone big datasocial accelerationsocial transformationsspatial mobility

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Area of Science:

  • Sociology
  • Geography
  • Demography

Background:

  • Spatial mobility is a key indicator of social integration and adaptation.
  • Generational cohorts may experience and adapt to societal changes, such as increased mobility, differently.
  • Understanding these differences is crucial in a rapidly transforming society.

Purpose of the Study:

  • To investigate generational variations in spatial mobility patterns.
  • To analyze how age influences the extent and nature of spatial mobility.
  • To identify distinct mobility behaviors between younger and older generations in Estonia.

Main Methods:

  • Utilized mobile positioning data from Estonia in 2014.
  • Analyzed four key indicators: number of locations visited, distances between locations, domestic travel, and international travel.
  • Employed quantitative analysis to identify trends and correlations between age and mobility.

Main Results:

  • Spatial mobility exhibits a linear decline with increasing age.
  • Significant heterogeneity in mobility exists within age groups.
  • Younger generations' high mobility is primarily domestic, while active older generations show more cross-border activity.
  • Identified
  • delayed mobility
  • and
  • immobility culture
  • phenomena.

Conclusions:

  • Age is a significant factor in spatial mobility, but individual variations are substantial.
  • Distinct generational mobility patterns emerge, particularly concerning cross-border activities.
  • These findings offer insights into societal adaptation to mobility changes in a transition society.