The primary goals of spatio-temporal analysis are prediction and description. What are some examples of spatio-temporal reasoning? Some examples of spatial-temporal reasoning include job application aptitude tests. Spatial reasoning tests assess a candidate’s ability to manipulate, arrange and rota...
The firstassumptions of stationarity in global scale for both variables were deduced from basic statistical analysis and data visualization inspatial-temporal dimensions. The study continues with theoretical description of the effect of drift on the experimental variogram andpractical examples with final ...
there has been a very rapid outgrowth of research in spatial-temporal data over the last decade, and our aim in this chapter is to survey some of that. 2 Background on spatial-temporal modeling In this section we discuss a number of examples of spatial-temporal modeling, mostly taken from...
Figure 5 gives several examples. This observation again implies that a gene is likely active in multiple regions at multiple developmental stages, depending on the expressions of other genes. The coupling between spatial and temporal patterns of gene expressions is illustrated in Fig. 3. While...
Recurrent neural networks (RNNs) are nonlinear dynamical models commonly used in the machine learning and dynamical systems literature to represent complex dynamical or sequential relationships between variables. Recently, as deep learning models have be
The Ran system provides examples of the spatial regulation of subcellular organization through diffusible signalling gradients and the control of the assembly multimeric protein complexes on specific structures. Abstract The small nuclear GTPase Ran controls the directionality of macromolecular transport between...
Professionals practicing analysis will profit from tested solutions – illustrated in many examples – for reuse in the catalogue of techniques presented. Students and researchers will appreciate the detailed description and classification of exploration techniques, which are not limited to ...
Spatiotemporal data often comes in the form of dense arrays, with space and time being array dimensions. Examples include socio-economic or demographic data, environmental variables monitored at fixed stations, raster maps, time series of satellite images with multiple spectral bands, ...
In contrast to existing work, we propose an analysis of users’ multi-level preferences based on data statistics. Additionally, we propose an adaptation method for effective modeling while constructing graph data to mitigate the impact of data sparsity. ...
In this context, this study takes 26 cities in the Yangtze River Delta as examples to build an evaluation system for urban land-use efficiency under green development orientation. The evaluation system takes into account the inputs of land, capital, labor, and energy factors in the process of...