This paper describes a spatio-temporal configurations building approach, which has been applied to dynamics points in 1-dimensional space. In this approach, a temporal logic, Allen’s time intervals, is crossed with a new spatial logic based on topology called spatial states. These spatial states are derived from topological relationships and a new concept of degenerate topological relationships...

Cellular functions involve the temporal and spatial interplay of ions, metabolites, macromolecules, and organelles. To define the mechanisms responsible for completing cellular functions, we used methods that can yield both temporal and spatial information on multiple physiological parameters and chemical components in the same cell. We demonstrated that the combined use of selected fluorescent...

Macroalgae are considered as primary producers in ecosystem food chain. This study investigated spatial and temporal variation of three species of macroalgae namely, Laurencia caspica (red macroalga) Enteromorpha intestinalis and Cladophora glomerata (green macroalgae) on the hard substrates of the southern Caspian Sea coasts and their relation with environmental factors. Seasonal sampling pref...

Video magnification is a computational procedure to reveal subtle variations during video frames that are invisible to the naked eye. A new spatio-temporal method which makes use of connectivity based mapping of the wavelet sub-bands is introduced here for exaggerating of small motions during video frames. In this method, firstly the wavelet transformed frames are mapped to connectivity space a...

the relationship between topography, land use, and topsoil moisture storage is investigated for a small catchment with undulating deep loess hilslopes in the south of the netherlands. for a period of 10 months, soil moisture profiles have been measured weekly at 15 locations throughout the catchment. a generalized additive model was employed to find relationships between the various factors inf...

We address the problem of predicting spatiotemporal processes with temporal patterns that vary across spatial regions, when data is obtained as a stream. That is, when the training dataset is augmented sequentially. Specifically, we develop a localized spatio-temporal covariance model of the process that can capture spatially varying temporal periodicities in the data. We then apply a covarianc...

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Spatial erosion of stock structure through local overfishing can lead to stock collapse because fish often prefer certain locations, and fisheries tend to focus on those locations. Fishery managers are challenged to maintain the integrity of the entire stock and require scientific approaches that provide them with sound advice. Here we propose a Bayesian hierarchical spatio-temporal modelling f...