The growing production of maps is generating huge volume of data stored in large spatial databases. This huge volume of data exceeds the human analysis capabilities. Spatial data mining methods, derived from data mining methods, allow the extraction of knowledge from these large spatial databases, taking into account the essential notion of spatial dependency. This paper focuses on this specifi...

Networks with dependency links are more vulnerable when facing the attacks. Recent research also has demonstrated that the interdependent groups support the spreading of cooperation. We study the prisoner's dilemma games on spatial networks with dependency links, in which a fraction of individual pairs is selected to depend on each other. The dependency individuals can gain an extra payoff whos...

objective: this study was designed to examine the effect of environmental enrichment during methamphetamine (meth) dependency and withdrawal on methamphetamine-induced spatial learning and memory deficits and obsessive-compulsive behavior. method: adult male wistar rats (200 ± 10 g) chronically received bi-daily doses of meth (2 mg/kg, sc, with 12 hours intervals) for 14 days. rats reared in st...

Spillovers have attracted wide attention in the areas of research in economics during the past decades. The reason for the interest in the topic lies in their important role in endogenous growth theory and the explanation of productivity growth. This paper investigates the spatial spillover of different types of public infrastructure on economic growth across EU-28 NUTS-II regions during 1995-2...

Nakayama and Tyler (1981) disentangled the use of pure motion (speed) information from spatial displacement information for the detection of lateral motion. They showed that when positional cues were removed the contribution of motion or spatial information was dependent on the temporal frequency: for temporal frequencies lower than 1Hz the mechanism used to detect motion relied on speed inform...

In this paper, we investigate some properties of a new type of 2D Hidden Markov Model, based on the notion of Dependency Tree. DT-HMMs avoid the complexity of regular 2D HMMs by changing the double horizontal and vertical spatial dependencies into a random uni-directional dependency, either horizontal or vertical. We explore various issues about the effect of this random choice. This type of pr...