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The statistically significant coefficients are reported for GDP, economic damages, proportion of people aged 65 and over, the political makeup of the U.S. Senate (Republican versus Democrat), and time trend.
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Damage proportion For different hazard intensities, buildings of different structure types always have different damage proportions for each damage state.
Finally, the damage proportion matrix is obtained using GIS tools.
Field survey damage proportion matrices can be used to calibrate damage proportion matrices derived from remote sensing assessment results based on Bayesian principles (Booth et al. 2011).
A calibrated damage proportion matrix was then obtained, as shown in Table 6.
By taking the expected value of various posterior beta-distributions as the damage proportion of buildings with various structure types in different disaster-affected areas, a new and calibrated damage proportion matrix is obtained.
Finally, the damage proportion matrix of these hazard-affected elements within selected monitoring areas can be calculated.
The important issues for post-disaster remote sensing monitoring are choice of typical disaster area, spatial resolution, damage state determination, and damage proportion calculation.
Remote sensing monitoring of selected disaster-affected areas involves four steps: remote sensing monitoring, construction of interpretation keys, damage state assignment, and damage proportion calculation.
The damage proportion matrix of buildings with various structure types within the VII-degree seismic intensity line was then obtained, as shown in Table 5.
Personnel in the back office summarize and process the collected data to formulate field survey damage proportion matrices for hazard-affected elements.
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