毁坏
发表于 2025-3-25 07:13:34
Spatial Analysis of Particulate Matter in an Urban Environmentbeen that they examine ambient air quality in a large city and its environs but for aggregated measurements, taken from the monitoring stations, over space. In this paper, we preserve the spatial component of the particulate-matter variable and carry out spatial statistical analyses that allow us to make maps of PM exposure with known confidence.
玉米
发表于 2025-3-25 10:39:05
Spatial Interpolation of Ozone Exposure in Norway from Space-Time Dataof the temporal functions. After fitting variogram functions to component fields, the spatial AOT40 field was inferred by conditional simulation. Finally, the proposed model was checked by cross-validation.
antiandrogen
发表于 2025-3-25 15:41:19
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Infraction
发表于 2025-3-25 17:00:24
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过剩
发表于 2025-3-25 20:27:48
Michael J. Hansen,Philip S. Lowtion over Europe. The available data were recorded at the European Monitoring and Evaluation Program (EMEP) network and span a period of 9 years from January 1980 to December 1988. Stochastic simulation is performed for modeling joint space-time uncertainty regarding trend levels of sulphate concentration over Europe for that time period.
否认
发表于 2025-3-26 03:05:15
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小故事
发表于 2025-3-26 05:13:39
Representation of Conditional Random Distributions as a Problem of “Spatial” Interpolation for applications for simulation and forecast purposes are discussed. The design of universal empirical coordinates is outlined and the concept of data assimilation by means of forecast schemes is sketched.
neologism
发表于 2025-3-26 11:38:31
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NIB
发表于 2025-3-26 12:53:37
A Maximum Likelihood Estimator for Semi-Variogram Parameters in Krigingand previously developed algorithms, showing its advantages, also in view of an approximate analysis of the uncertainty that the semi-variogram parameter estimates may induced on the Kriging estimates..An example of application of the proposed method is carried out for the estimation of yearly average precipitation over the Veneto Region in Italy.
极端的正确性
发表于 2025-3-26 19:20:13
Probability Hypothesis Density Filter, for applications for simulation and forecast purposes are discussed. The design of universal empirical coordinates is outlined and the concept of data assimilation by means of forecast schemes is sketched.