A long time series of data simulated by the NCAR Community Climate Model is used to empirically determine the effects of imperfect spatial and temporal sampling on estimates of the model's global-mean ...

We also discuss and recommend available techniques used to detect and model spatial and temporal dependence, including variograms, covariograms, autocorrelation and partial autocor-relation plots, ...

Addressing many existing and evolving development challenges around the world today are constrained by poor access to spatial and temporal data. This is particularly true for water resources ...

The spatial and temporal resolutions of the datasets analyzed were not ideal but represented the best available for a national study. There are inherent issues when aggregating point data to ...