We have built several networks of inferior olive (IO) model neurons to study the emerging spatio-temporal patterns of neuronal activity. The degree and extent of the electrical coupling, and the presence of stimuli were the main factors considered in the IO networks. The network activity was analyzed using a discrete wavelet transform which provides a quantitative characterization of the spatio...

In this paper, we present a new approach that benefits from the advantages of both conceptual and ontological models in order to provide a powerful spatio-temporal data model for geographic information systems (GIS). We base our model on the MADS conceptual model that is transformed to a corresponding ontology model, using database to ontology mapping techniques and a set of transformation rule...

Objective: Spatio-temporal modelling is a method used for data which has spatial (area) and temporal (time) property. Confirmed cases of Covid19 in each province Indonesia were recorded from March 2nd to September 15th, 2020. The spatio-temporal model this study are split into two parts ARIMA(p,d,q) the pattern Bayesian Poisson regression explain pattern.Method: Data was obtained Repository Ind...

Taking cities as objects being observed, urban remote sensing is an important branch of sensing. Given the complexity scenes, observation requires data with a high temporal resolution, spatial and spectral resolution. To best our knowledge, however, no satellite owns all above characteristics. Thus, it necessary to coordinate from existing satellites meet needs observation. In this study, we ab...

Adaptive radiation can be strongly influenced by interspecific competition for resources, which can lead to diverse outcomes ranging from competitive exclusion to character displacement. In each case, sympatric species are expected to evolve into distinct ecological niches, such as different food types, yet this expectation is not always met when such species are examined in nature. The most co...

We study p-adic multiresolution analyses (MRAs). A complete characterisation of test functions generating MRAs (scaling functions) is given. We prove that only 1-periodic test functions may be taken as orthogonal scaling functions. We also suggest a method for the construction of wavelet functions and prove that any wavelet function generates a p-adic wavelet frame.

Despite heated debates over the safety of genetically modified (GM) food, GM crops have been expanding rapidly. Much research has focused on the expansion of GM crops. However, the spatiotemporal dynamics of non-genetically modified (non-GM) crops are not clear, although they may have significant environmental and agronomic impacts and important policy implications. To understand the dynamics o...

There are many problems involved in trying to model space dynamically in a computer. Since it is impractical to preserve the states of all possible locations in space and time, the preservation of changes of state is a feasible alternative. A (wy preliminary) taxonomy of possible types of maps is given, along with the state-change conditions that should be preserved. Traditional static maps are...