The world is witnessing a dramatic shift of settlement pattern from rural to urban population, particularly in developing countries. The rapid Addis Ababa urbanization reflects this global phenomenon and the subsequent socio-economic and environmental impacts, are causing massive public uproar and political instability. The objective of this study was to use remotely sensed Landsat data to iden...

One of main aims of the spatial analysis of health and medical datasets is to provide additional information to the specialized medical research. These analyses can be used for disease mapping; searching for places with a higher intensity and probability of the disease event; or the influence assessment of selected natural or artificial phenomena. Suitably selected methods allow a proper analys...

This paper defines a framework for the spatio-temporal analysis of motion imagery (MI) datasets depicting two-dimensional phenomena evolving in time. More specifically, we introduce the concept of a spatiotemporal helix as a concise representation of spatiotemporal events, modeling their path in space and the variations of their outline. We also present in some detail the automated algorithms d...

o bjective: to explain an important  aspect of violence, the spatiotemporal pattern of trauma in victims of violence visited in emergency room of rajaei hospital, shiraz, iran m e thods: this cross-sectional prospective study comprised 109 randomly selected victims of violence visited in emergency room of rajaei hospital, a tertiary referral hospital affiliated to shiraz university of medical s...

Purpose: The present study aimed to determine the effect of dual-tasking on spatiotemporal characteristics in subjects with and without Anterior Cruciate Ligament Deficiency (ACLD) using linear dynamics. Methods: In this mixed model design study, spatiotemporal parameters were measured in 22 patients with ACLD (25.95±4.69 y) and 22 control subjects (24.32±3.37 y) while they were walking w...

We propose a new multicast communication paradigm called “spatiotemporal multicast” for supporting applications which require spatiotemporal coordination in wireless sensor networks. In this paper we focus on a special class of spatiotemporal multicast called “mobicast” featuring a message delivery zone that moves at a constant velocity ~v. The key contributions of this work are: (1) the specif...

Spatiotemporal segmentation is an essential task for video analysis. The strong interconnection between finding an object’s spatial support and finding its motion characteristics makes the problem particularly challenging. Motivated by closure detection techniques in 2D images, this paper introduces the concept of spatiotemporal closure. Treating the spatiotemporal volume as a single entity, we...

This article compares the current states of science and practice regarding spatiotemporal (space+time) crime analysis within intermediateto large-size law enforcement agencies in the Northeastern United States. The contributions of the presented research are two-fold. First, a comprehensive literature review was completed spanning the domains of Criminology/Crime Analysis and GIScience/Cartogra...

Nowadays, there is a considerable amount of spatiotemporal data available on the web. The visualization of these data requires several visual resources which helps users to have a correct interpretation of the data set. Furthermore, the use of data mining algorithms has proven relevant in helping the exploratory analysis of spatiotemporal data. This paper proposes the GeoSTAT (GEOgraphic Spatio...