Bremen ; Geostatistics ; Germany ; Krigeage ; Model ; Niedersachsen ; North Rhine Westfalia ; Observation network ; Radiation ; Rhineland-Palatinate ; Spatial variation ; Stochastic model
This paper first summarizes the main concepts of space-time geostatistics. The AA. use here a model-based geostatistical approach to characterize space-time variability. The space-time variable of interest is treated as a sum of independent
stationary spatial, temporal, and spatiotemporal components, which leads to a sum-metric space-time variogram model. Methods are illustrated with a case study of space-time interpolation of monthly averages of detected background radiation for a 5-year period
Erosion rate ; Geostatistics ; Geotechnics ; Mid-latitude climate ; Model ; Northern Ireland ; Permeability ; Salt ; Sandstone ; Simulation ; United Kingdom ; Weathering
The aim of this research is to improve the understanding of the decay dynamics of masonry materials and sandstone by weathering and to provide a quantitative and predictive basis for conceptual models of sandstone decay using geostatistics. Data
Cartographie thématique ; Couverture végétale ; Espace bâti ; Géostatistiques ; Image satellite ; Modèle ; Occupation du sol ; Traitement des données ; Télédétection ; Variation spatiale
Built up area ; Data processing ; Geostatistics ; Land utilisation ; Model ; Plant cover ; Remote sensing ; Satellite imagery ; Spatial variation ; Thematic mapping
This study aims to increase the accuracy with which remotely sensed data can be used to generate thematic maps of land cover classes. It explores the use of geostatisical models to characterize the inherent spatial variation between different land
Geostatistical analysis facilitates the generation of ensembles of rainfall fields that are consistent with a given set of observations, allowing for a more realistic exploration of errors and their propagation in downstream models, such as those