Despite large underpredictions in surface aerosol concentrations and aerosol optical depth, there is good spatial agreement with surface observations of chemical predictions, and increasing spatial resolution tends to improve performance.
This paper demonstrates a strong link between prediction error and spatial scale in maps of P. radiata productivity produced for New Zealand using an extensive dataset of plot measurements.
The objectives of this study were to: (i) develop updated predictive surfaces for the 300 Index and Site Index; and (ii) characterise the relationship between prediction error and spatial scale for both surfaces.
Particularly, differences between the predictions from topological and spatial properties, together with the poorer recovery resulting from spatial properties, indicate that the organization of cortical networks is not entirely determined by spatial constraints.
The former is due to allowing forward, backward and bi-prediction for temporal and spatial frames during inter-picture prediction [19].
In this study, we employ the NPAIRS cross-validation framework, which optimizes pipelines based on metrics of prediction accuracy (P) and spatial reproducibility (R), to compare the effects of pipeline optimization between young (21 33 years) and older (61 82 years) cohorts, for three different block-design contrasts.
At the same time, accuracy and reliability in flow predictions at both temporal and spatial scales are very important for water resources planning and development.
For example, while atmospheric thermodynamics may suffice to explain the formation of clouds, it fails to provide a solid framework for accurate deterministic predictions of the intensity and spatial extent of storms.
Although all surveillance algorithms involve aberration detection and decision making, evaluation of the uncertainty inherent in such prediction and the spatial-temporal characteristics involved has been only partially addressed.
We present generalized regression analysis and spatial prediction (GRASP) conceptually as a method for producing spatial predictions using statistical models, and introduce and demonstrate a specific implementation in Splus that facilitates the process.
