this means that the variance differs in different segments of the data.  In time-series data, this would mean that the variance is different in different time periods.  In cross-sectional multivariate data, this might mean that the variance of some outcome variable differs for different value ranges of the outcome variable, or predictor variables.  For example, in a model to predict housing prices, variance might be greater for high value houses, or for houses in a given neighborhood.