Approximately linear INGARCH models for spatio-temporal counts

Test for Spatio-Temporal Counts Being Poisson

Spatio-Temporal Models For Sustainability

Many applications that aim at enhancing sustainability rely on some sort of spatio-temporal model. The task can be monitoring or prediction in traffic networks, power grids, building energy management, river flow volume, and sea level – to mention just a few. The positive effect on the environment is achieved by a better control, better planning of processes or better disaster management. Spati...

Multiversion Linear Quadtree for Spatio-Temporal Data

Research in spatio-temporal databases has largely focused on extensions of access methods for the proper handling of time changing spatial information. In this paper, we present the Multiversion Linear Quadtree (MVLQ), a spatio-temporal access method based on Multiversion B-trees (MVBT) [2], embedding ideas from Linear Region Quadtrees [4]. More specifically, instead of storing independent nume...

Linear Spatio-Temporal Scale-Space

This article shows how a linear scale-space formulation previously expressed for spatial domains extends to spatio-temporal data. Starting from the main assumptions that: (i) the scale-space should be generated by convolution with a semi-group of filter kernels and that (ii) local extrema must not be enhanced when the scale parameter increases, a complete taxonomy is given of the linear scale-s...

Spatio-temporal Background Models for Outdoor Surveillance

Video surveillance in outdoor areas is hampered by consistent background motion which defeats systems that use motion to identify intruders. While algorithms exist for masking out regions with motion, a better approach is to develop a statistical model of the typical dynamic video appearance. This allows the detection of potential intruders even in front of trees and grass waving in the wind, w...