Thomas J. Cova

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Towards a general theory of geographic representation in GIS Michael F. Goodchild a , May Yuan b & Thomas J. Cova c a National Center for Geographic Information and Analysis and Department of Geography, University of California, Santa Barbara, CA 93106‐4060 b Department of Geography, University of Oklahoma, 100 East Boyd St, Norman, OK 73019‐1008 c(More)
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. Community-based evacuation planning in many areas is an emerging need. In this paper we present a method for using microscopic traffic simulation to develop and test neighborhood evacuation plans in the urban ^wildland interface. The method allows an analyst to map the(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)
Hoetmer defines emergency management as the discipline and profession of applying science, technology, planning, and management to deal with extreme events that can injure or kill large numbers of people, do extensive damage to property, and disrupt community life (Drabek and Hoetmer 1991). Recently, there has been increased interest in mitigating 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)