Integrating spatial and temporal dimensions is a fundamental yet challenging issue in modeling geospatial data. This article presents the design of a generic model within the object-oriented paradigm to represent spatially-varying, temporally-varying, and spatio-temporally-varying information using a mechanism, called parametric polymorphism. This mechanism allows a conventional data type (e.g....

Housing transactions are executed and recorded daily, but are routinely pooled into longer time periods for the measurement and analysis of housing price trends. We utilize an unusually rich data set, covering essentially all arm's length housing sales in Sweden for a dozen years, in an attempt to understand the effect of temporal aggregation upon estimates of housing prices and their volatilit...

The aim of the study was to analyses the relation between the selected speed, agility, and neuromuscular power test items. The sample of subjects consisted of 154 male and 152 female young tennis players. Using six motor and three anthropometrical tests we investigate differences between males and females and between two age categories. Finally, we analyzed the relation between motor and anthro...

OBJECTIVE To demonstrate the adverse impact of ignoring statistical interactions in regression models used in epidemiologic studies. STUDY DESIGN AND SETTING Based on different scenarios that involved known values for coefficient of the interaction term in Cox regression models we generated 1000 samples of size 600 each. The simulated samples and a real life data set from the Cameron County H...

Temporal Geographic Information System (TGIS), which aims to collect, manage and analyze dynamic geographic phenomena, is a hot scientific research field. The all-important task of developing a TGIS is to build the spatio-temporal database. Since data model is the core of a spatio-temporal database, many GIS researchers and experts of database community have made a lot of efforts about the spat...

Perceptual Watermarking should take full advantage of the results from human visual system (HVS) studies. Just noticeable distortion (JND), which refers to the maximum distortion that the HVS does not perceive, gives a way to model the HVS accurately. An effective Spatio-Temporal JND model guided video watermarking scheme in DCT domain is proposed in this paper. The watermarking scheme is based...

Carbon dioxide (CO2)-emission dynamics are critical to inter-governmental climate negotiations. Previous studies have noted a gradual equalization of per capita CO2 emissions across developed countries; that is, CO2 emissions converge across developed countries. However, they have ignored the effects of spatio-temporal dynamics on such convergence. In this paper, we address this gap in understa...

Capability of the Proper Orthogonal Decomposition (POD) method in extraction of the coherent structures from a spatio-temporal chaotic field is assessed in this paper. As the chaotic field, an ensemble of 40 snapshots, obtained from Direct Numerical Simulation (DNS) of the Kuramoto-Sivashinsky (KS) equation, has been used. Contrary to the usual methods, where the ergodicity of the field is need...

Variations in spatio-temporal patterns of Human Monocytic Ehrlichiosis (HME) infection in the state of Kansas, USA were examined and the relationship between HME relative risk and various environmental, climatic and socio-economic variables were evaluated. HME data used in the study was reported to the Kansas Department of Health and Environment between years 2005-2012, and geospatial variables...

The introduction of spatio-temporal information in database systems presents us with an important data modelling challenge: the design of data models general and powerful enough to handle conventional thematic data, purely temporal or spatial concepts and spatio-temporal concepts. General purpose DBMS (e.g., relational) are not appropriate for storing and manipulating spatio-temporal data becau...