Current digital imaging devices often enable the user to capture still frames at a high spatial resolution, or a short video clip at a lower spatial resolution. With bandwidth limitations inherent to any sensor, there is clearly a tradeoff between spatial and temporal sampling rates, which can be studied, and which present-day sensors do not exploit. The fixed sampling rate that is normally use...

An ontology for spatial reasoning based on a tesseral representation of space is presented. The principal advantage offered is that the representation has the effect of linearising multi-dimensional space while still supporting translation through the space in any direction and through any number of dimensions. Consequently, all multi-dimensional spatial reasoning can be implemented using one d...

Spatial reasoning ability is enhanced by spatial activities and spatial language. Spatial games (e.g., block building, assembling jigsaw puzzles) are often accompanied by spatial language, which, in turn, is often accompanied by co-speech gesture. Here we investigate the effects of spatial language and gesture in the context of puzzle play in improving preschool children’s puzzle assembly abili...

We adapt the Multi-lane Spatial Logic MLSL, introduced in [1] for proving the safety (collision freedom) of traffic manoeuvres on multi-lane motorways, where all cars drive in one direction, to the setting of country roads with two-way traffic. To this end, we need suitably refined sensor functions and length measurement in MLSL. Our main contribution is to show that also here we can separate t...

One of the central questions of spatial reasoning research is whether the underlying processes are inherently visual or spatial. The article reports a dual-task experiment that was conducted to explore the visual and/or spatial nature of human spatial reasoning. The main tasks were inferences based on a spatial version of the interval calculus introduced by Allen (1983). The secondary tasks wer...

sufficient measurements of effective parameters with suitable temporal and spatial distributions for all phenomena are needed. however, providing the data and informations are difficult and costly. so, temporal and/or spatial downscaling is of prime importance. by downscaling, one can generate data from available ones. there are diffent downscaling methods in literature but they are not compare...