Forest fires have profound impacts on the spatial distribution of vegetation type and density. This research analyzes the impacts of the 2002 Ponil Fire in New Mexico on landscape patterns using a moving-window analysis of landscape metrics. Categorically derived landscape metrics and a measure of fire severity—the Normalized Burn Ratio—are used to produce a quantitative, spatial distribution o...

The study attempts to find out the impact of buyback announcement on share price. Paired sample T-test is employed to compare share price before and after the buyback announcement. The analysis of variance is also used to find out whether there is any significant difference among industries in the price change due to buyback announcement. The study is carried out from 1st January 2005 to 31st D...

With the rapid development of sensor and communication technologies, a large amount spatiotemporal traffic data has been accumulated, presenting characteristics big data. The potential information regularity state evolution can be extracted from huge flow time series applied to intelligent transportation systems. This study proposes dynamic causality modeling approach analyze causal relationshi...

Sliding-window analysis has widely been used to uncover synonymous (silent, d(S)) and nonsynonymous (replacement, d(N)) rate variation along the protein sequence and to detect regions of a protein under selective constraint (indicated by d(N)d(S)). The approach compares two or more protein-coding genes and plots estimates d(/\)(S) and d(/\)(N) fro...

A Time-Dependent Intrinsic Correlation (TDIC) method is introduced. This new approach includes both autoand cross-correlation analysis designed especially to analyze, capture and track the local correlations between nonlinear and nonstationary time series pairs. The approach is based on Empirical Mode Decomposition (EMD) to decompose the nonlinear and nonstationary data into their intrinsic mod...