Spatial Data Analysis by Example: Categorical and directional dataWiley, 1985 - Spatial analysis (Statistics) |
Contents
CONTINGENCY TABLES FROM MAPS | 11 |
MORE SPECIALISED TECHNIQUES FOR CONTINGENCY | 71 |
MOBILITY ANALYSIS | 141 |
Copyright | |
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Other editions - View all
Spatial Data Analysis by Example: Categorical and Directional Data Graham J. G. Upton,Bernard Fingleton No preview available - 1991 |
Common terms and phrases
AB/AC/BC Absent alternative analysis angle approximate autocorrelation B₁ Biometrika black-headed gull calculate cell Chapter chi-squared chi-squared distribution circular data confidence interval consider constraints contingency table correlation corresponding critical values data of Table data sets degrees of freedom destination distance eigenvalues eigenvectors equation Example expected frequencies Figure Fingleton function G₁ GENSTAT given in Table gravity model groups illustrate independence model individual interaction Kent distribution Langevin distribution linear locations log-linear models Mardia marginal matrix maximum likelihood estimate mean direction measure Mises distribution model fitted n₁ n₂ normal distribution null hypothesis obtain P₁ parameter estimates percentage points population present probability procedure quadrats random ratio region ringlet rotation sample saturated model sea star Significance level simple species speckled wood Stephens suggested summary test statistic unit normal distribution Upton variables variance vector von Mises distribution x2 distribution zero