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A method to test the significance of differences between centrographic measures of dispersion
Author(s) -
LópezCastro Marco Antonio,
Thériault Marius,
Vandersmissen MarieHélène
Publication year - 2018
Publication title -
the canadian geographer / le géographe canadien
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.35
H-Index - 46
eISSN - 1541-0064
pISSN - 0008-3658
DOI - 10.1111/cag.12509
Subject(s) - resampling , statistics , dispersion (optics) , statistical significance , statistical hypothesis testing , mathematics , sampling distribution , sampling (signal processing) , set (abstract data type) , econometrics , outlier , index of dispersion , computer science , demography , physics , filter (signal processing) , optics , computer vision , poisson regression , population , sociology , programming language
Centrographic measures of spatial dispersion, such as the standard distance, provide a numerical value to summarize the radial scattering of a set of points around their centre of gravity or centroid. This paper develops a procedure to test for the statistical significance of differences in dispersion between two sets of phenomena intertwined in space. The significance test is implemented using a resampling randomization procedure based on the pooled locations from both sets to estimate the sampling distribution of their differences. Repeated thousands of times, that yields empirical frequency thresholds of the sampling distributions to assess the statistical significance of the observed differences. Case studies based on residential locations of lone‐parent families and retired couples in the Quebec City Metropolitan Area illustrate the procedure. This paper shows how randomization procedures can be used to adapt classical tests to assess the statistical significance of differences between indices of spatial dispersion.