Spatio-temporal data analysis plays an important role in many scientific applications like environmental epidemiology and public health. Our approach STARS (SpatioTemporal dAtabase system Realized with Shore) integrates spatio-temporal aspects in the persistent object system SHORE [1]. STARS provides an object oriented query language to formulate spatio-temporal queries which can be processed b...

This paper proposes a methodological framework to analyze the activity and travel pattern of workers during the evening commute. The framework uses a discrete-continuous econometric system to jointly model the decision to participate in an activity during the evening commute and the following attributes of the participation: activity type, activity duration, and travel time deviation to the act...

In the early stages location theory mainly concentrated on the spatial pattern of industrial activities. Although the focal point of theoretical considerations and empirical analysis has shifted towards the service sector in the meantime, the location of knowledge-based activities has not yet been explained in a satisfying way. Especially the spatial dimension of innovation processes needs furt...

When a reinforcement is delivered according to a fixed-ratio schedule, it has been found that responding occurs in a specific temporal pattern (Ferster & Skinner, 1957). Periods of no responding characteristically follow the delivery of the reinforcer. Once responding begins, it assumes a very high rate of several responses per second. The resulting performance is bivalued; responding occurs ei...

Rapid population growth, and human activities (such as agriculture, industry, transports,...) development have increased vulnerability risk for water resources. Due to the complexity of natural processes and the numerous interactions between hydro-systems and human pressures, water quality is difficult to be quantified. In this context, we present a knowledge discovery process applied to hydrol...

This paper examines the spatiotemporal pattern of urbanization in Kathmandu Valley using remote sensing and spatial metrics techniques. The study is based on 33-years of time series data compiled from satellite images. Along with new developments within the city fringes and rural villages in the valley, shifts in the natural environment and newly developed socioeconomic strains between resident...

Recent empirical work suggests that declining industries lobby more successfully for policy concessions than do growing industries. This paper presents a novel and simple explanation for this phenomenon. It is shown that an industry in decline is constrained in its ability to raise revenue through production and therefore has a greater incentive to protect profits by lobbying for more favorable...

The growth of cities represents huge problems for modern societies. The explanation of the phenomena involves the description of changes. The Danish Building & Dwelling database is a quasi spatio-temporal database containing spatial dimensions as well as a temporal one. Based on this database, a time-series animation of the urban growth in the Copenhagen Metropolitan area is produced. Furthermo...

Robustness for BCI is usually obtained at the classifier level Non-stationarity is inherent to brain signals We propose to leverage this at the feature extraction level

We consider the distribution of economic activity within a country in light of three leading theories – increasing returns, random growth, and locational fundamentals. To do so, we examine the distribution of regional population in Japan from the stone age to the modern era. We also consider the Allied bombing of Japanese cities in WWII as a shock to relative city sizes. Our results support a h...