Evacuation Zone Modeling under Climate Change: A Data-Driven Method

Climate Change: A Hybrid Zone Moves North

A shifting zone of hybridization between two chickadee species helps us understand the proximate mechanisms driving species responses to climate change.

Modeling Current and Future Potential Distributions of Caspian Pond Turtle (Mauremys caspica) under Climate Change Scenarios

Although turtles are the most threatened taxonomic group within the reptile class, we have a very limited understanding of how turtles respond to climate change. Here, we evaluated the effects of climate changes on the geographical distribution of Caspian pond turtle (Mauremys caspica). We used an ensemble approach by combining six species distribution models including artificial neural network...

A novel method for detecting structural damage based on data-driven and similarity-based techniques under environmental and operational changes

The applications of time series modeling and statistical similarity methods to structural health monitoring (SHM) provide promising and capable approaches to structural damage detection. The main aim of this article is to propose an efficient univariate similarity method named as Kullback similarity (KS) for identifying the location of damage and estimating the level of damage severity. An impr...

Tourism, Climate Change and the Coastal Zone

A dynamic-data-driven driving variability modeling and simulation for emergency evacuation

This paper presents a dynamic data driven approach of describing driving variability in microscopic traffic simulations for both normal and emergency situations. A four-layer DGIT (Decision, Games, Individual and Transform) framework provides the capability of describing the driving variability among different scenarios, vehicles, time and models. A four-step CCAR (Capture, Calibration, Analysi...