Multi-scale spatio-temporal analysis of human mobility

Modeling and Spatio-Temporal Analysis of the Distribution of O3 in Tehran City Based on Neural Network and Spatial Analysis in GIS Environment

Air pollution is one of the most problems that people are facing today in metropolitan areas. Suspended particulates, carbon monoxide, sulfur dioxide, ozone and nitrogen dioxide are the five major pollutants of air that pose many problems to human health. The goal of this study is to propose a spatial approach for estimation and analyzing the spatial and temporal distribution of ozone based on ...

Exploratory Method for Spatio-Temporal Feature Extraction and Clustering: An Integrated Multi-Scale Framework

This paper presents an integrated framework for exploratory multi-scale spatio-temporal feature extraction and clustering of spatio-temporal data. The framework combines the multi-scale spatio-temporal decomposition, feature identification, feature enhancing and clustering in a unified process. The original data are firstly reorganized as multi-signal time series, and then decomposed by the mul...

An Adaptive Organization Method of Geovideo Data for Spatio- Temporal Association Analysis

Public security incidents have been increasingly challenging to address with their new features, including large-scale mobility, multistage dynamic evolution, spatio-temporal concurrency and uncertainty in the complex urban environment, which require spatiotemporal association analysis among multiple regional video data for global cognition. However, the existing video data organizational metho...

Modeling of spatio-temporal of albedo over Iran

The aim of this study is modeling spatiotemporal variations of albedo. This study was conducted using simultaneous effects of several components, such as wetness of surface layer of soil, cloudiness, topography and vegetation density (NDVI), using MEERA2 model with a resolution of 50 in 50 km during 2000-2010 in Iran. The results of spatial analysis of albedo values in Iran showed that the high...

Spatio-temporal analysis of snow cover in Iran based on topographic characteristics

Context-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network

Context-aware systems must be interoperable and work across different platforms at any time and in any place. Context data collected from wireless body area networks (WBAN) may be heterogeneous and imperfect, which makes their design and implementation difficult. In this research, we introduce a model which takes the dynamic nature of a context-aware system into consideration. This model is con...