A Spatial Location Representation Method Incorporating Boundary Information

Improving Density Estimation by Incorporating Spatial Information

Given discrete event data, we wish to produce a probability density that can model the relative probability of events occurring in a spatial region. Common methods of density estimation, such as Kernel Density Estimation, do not incorporate geographical information. Using these methods could result in nonnegligible portions of the support of the density in unrealistic geographic locations. For ...

Spatial Representation of Ordinal Information

Right hand responds faster than left hand when shown larger numbers and vice-versa when shown smaller numbers (the SNARC effect). Accumulating evidence suggests that the SNARC effect may not be exclusive for numbers and can be extended to other ordinal sequences (e.g., months or letters in the alphabet) as well. In this study, we tested the SNARC effect with a non-numerically ordered sequence: ...

Incorporating spatial information in spectral unmixing: A review

Stochastic Immersed Boundary Method Incorporating Thermal Fluctua- tions

We give a brief introduction to the stochastic immersed boundary method which allows for simulation of small length-scale physical systems in which elastic structures interact with a fluid flow in the presence of thermal fluctuations. The conventional immersed boundary method is extended to account for thermal fluctuations by introducing stochastic forcing terms in the fluid equations. This giv...

SVG-Based Spatial Information Representation and Analysis

This paper tries to make some spatial extensions to W3C’s Scalable Vector Graphics (SVG) Specification to support SVG-based spatial information representation and analysis in the Web environment. Based on the theory of spatial data modeling, this paper attempts to find a theoretical foundation for SVG-based spatial information representation. And then, based on this theoretical foundation, we p...