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We present a method for systematically identifying neighbourhoods that may face transportation diYculties during an evacuation. A classi® cation of this nature oVers a unique approach to assessing community vulnerability in regions subject to fast-moving hazards of uncertain spatial impact (e.g., urban ® restorms and toxic spills on highways). The approach(More)
Residential development in fire-prone wildlands is occurring at an unprecedented rate (GAO, 1998; 1999). Fire managers refer to the area where urban growth encroaches into fire-prone wildlands as the urban ^ wildland interface (or wildland ^ urban interface) Given this trend, wildfire-induced evacuations and property loss are likely to increase in frequency(More)
In the last ten years, field and object models have emerged as two opposing approaches for conceptualizing and modeling geographic phenomena. In the context of a field perspective, each point in space is mapped to a value selected from an attribute domain. In this way, geographic space is perceived as 'full', as every location is occupied by a value. In the(More)
Warning communities in the path of an advancing wildfire is a challenging problem. Decision makers need the most current information available to determine who should evacuate, when they should leave and what type of order to issue (e.g. mandatory, recommended, voluntary). This paper presents a new method for delimiting wildfire evacuation trigger points(More)
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Aims Sin Nombre virus (SNV), a strain of hantavirus, causes hantavirus pulmonary syndrome (HPS) in humans, a deadly disease with high mortality rate (> 50%). The primary virus host is the deer mouse, and greater abundance of deer mice has been shown to increase the human risk of HPS. Our aim is to identify and compare vegetation indices and associated time(More)