FORTRAN programs for space-time modeling
Computers & Geosciences
A local space-time kriging approach applied to a national outpatient malaria data set
Computers & Geosciences
Estimation and model selection for an IDE-based spatio-temporal model
IEEE Transactions on Signal Processing
Towards an automatic procedure for modeling multivariate space-time data
Computers & Geosciences
Predicting spatio-temporal random fields: Some computational aspects
Computers & Geosciences
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A space-time functional form for some contaminants is obtained and used for estimating total air pollution (TAP) in the district of Milan, Italy, during selected high-risk days of 1999. This functional form is determined through a space-time product-sum variogram model for TAP measurements and the dual form of kriging, i.e., radial basis functions. Data for nitric oxide (NO), nitrogen dioxide (NO2) and carbon monoxide (CO) collected in Milan district, Italy are used to generate a combined indicator of traffic pollution, called TAP. In a previous study the weightings were obtained by multiple principal component analyses of the daily concentration levels. It was found that the first component explains approximately 70% of the total variance for each day and this component is treated as samples defined over space and time. A systematic pattern, which follows the corridor along which survey stations, characterized by heavy traffic are located, has been observed for TAP throughout Milan district, for all days considered. Note that the pollution data set is just an illustration for the new statistical method proposed.