Accurate estimation of missing traffic data is one of the essential components in intelligent
transportation systems (ITS). The non-Euclidean data structure and complex missing traffic …

Mapping spatial variations in tree density and woody species diversity, as indicators of
intactness of tropical forests and woodlands, is potentially useful to nature conservation …

When evaluating the impact of pollution, measurements from remote stations are often
weighted by the inverse of distance raised to some nonnegative power (IDW). This is …

An accurate estimation of missing data in traffic flow is crucial in urban planning, intelligent
transportation, economic geography, and other fields. Thus, improving the data quality of …

Soil erosion (SE) provides slide mass sources for landslide formation, and reflects long-term
rainfall erosion destruction of landslides. Therefore, it is possible to obtain more reliable …

High-resolution yield maps are an essential tool in modern agriculture. Using spatial
interpolation, spatially discrete sampled yield data from yield monitors can be transformed …

One factor that goes into the construction of a space–time model, in this case, the
Generalized Space–Time Autoregressive (GSTAR) model, is the weight matrix, which acts …

Kriging algorithms are a group of important interpolation methods, which are very useful in
many geological applications. However, the algorithm based on traditional general purpose …

Heterogeneous computer architectures are the emerging and future trend in computer
engineering but lead to major challenges in algorithm redesign and software re …

Missing data reconstruction is a critical step in the analysis and mining of spatio-temporal
data; however, few studies comprehensively consider missing data patterns, sample …