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Society is vulnerable to natural disasters and impacts from climate change. Vulnerability, as discussed here, is defined as the potential for loss [1-3], and is expressed as a function of exposure, sensitivity, and adaptive capacity [2-8]. Exposure is a function of an object’s proximity to a hazard, sensitivity as differential degrees of potential loss of exposed objects, and adaptive capacity as the ability of an object or system to adjust to hazards and impacts [9]. For decades hazards researchers have conducted vulnerability assessments in efforts to identify community vulnerability so that societal losses from natural hazards may be reduced. These traditional vulnerability assessments however, have paid less attention to the importance of multi-scalar spatial components when calculating a region or community’s vulnerability. The literature concerning vulnerability assessments often describes the scale at which the vulnerability assessment occurs without much explanation as to how the scale of the assessment is determined [2, 10-22]. One exception is the work of Luers et al.[23] and Luers [3], which uses a smaller geographic unit (the farm) to represent the overall vulnerability of the Yaqui Valley (an agricultural valley in Mexico). Luers et al.[23] however, only attempt to modify the scale of vulnerability assessments to quantify their study area, with their research not meant as a new method to alter the construction and implementation of vulnerability frameworks. Most natural hazards research to date as supported by the literature contains very little that speaks to the methods or rationale for selecting an appropriate scale for vulnerability and resilience …