A variation of the reduction-based approach to spatiotemporal interpolation (STI), in which time is treated independently from the spatial dimensions, is proposed in this paper. We reviewed and compared three widely-used spatial interpolation techniques: ordinary kriging, inverse distance weighting and the triangular irregular network. We also proposed a new distribution-based distance weightin...

This article presents a new algorithm for spatial deinterlacing that could easily be integrated in a more complete deinterlacing system, typically a spatio-temporal motion adaptive one. The spatial interpolation part often fails to reconstruct close to horizontal lines with a proper continuity, leading to highly visible artifacts. Our system preserves the structure continuity taking into accoun...

In this paper, we investigate the application of data mining to existing techniques for quality control/anomaly detection on weather sensor observations. Specifically we adapt the popular Barnes Spatial interpolation method to use time series distance rather than spatial distance to develop an online algorithm that uses readings from similar stations based on current and historical observations...

A practical problem in spatial statistics is that of constructing spatial sampling designs for environmental monitoring networks. Among the several purposes for which a monitoring network may be designed for, there is that of interpolation. In this paper, a criterion for spatial designs that emphasize the utility of the network for spatial interpolation of a random field X is discussed. Within ...

Title of dissertation: EFFICIENT ALGORITHMS FOR CLUSTERING AND INTERPOLATION OF LARGE SPATIAL DATA SETS Nargess Memarsadeghi Doctor of Philosophy, 2007 Dissertation directed by: Professor David M. Mount Department of Computer Science Categorizing, analyzing, and integrating large spatial data sets are of great importance in various areas such as image processing, pattern recognition, remote sen...

In this paper we apply spatial database and structure to render the paleo-relief of the Borod Basin. The boreholes data are stored in a spatial database. For the effective surface rendering we use local-Shepard interpolation with variable radius, based on a spatial grid and Delaunay triangulation. The generated pictures are more realistic compared to picture generated by mean of other methods. ...

A new method to refine the event region in a gridbased WSN is presented. The proposed method determines the fine-grained event region from its coarse-grained version using repeated spatial interpolation. Keywords—Coarse-grained event region, fine-grained event region, inverse distance weighting, spatial interpolation, wireless sensor network,

Soil pollution by metal(loid)s resulting from rapid economic development is a major concern. Accurately estimating the spatial distribution of soil metal(loid) pollution has great significance in preventing and controlling soil pollution. In this study, 126 topsoil samples were collected in Kunshan City and the geo-accumulation index was selected as a pollution index. We used Kriging interpolat...