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Pointing out limitations of observing slope failure trigger factors (i.e., rainfall, earthquake, weathering, etc.), we have tackled the development of a web-based Trigger Factor Inverse analysis system for slope failure hazard mapping (TFI-web). Through the measurement equation defined between “unobserved trigger factor” and “observed causal factors (i.e., satellite remotely sensed data, geographical information)” and the trigger factor can be estimated inversely by the TFI-web, which consists of the following systems: i)Pre-processing system, ii)Analysis system, iii)Post-processing system, and iv)Information providing and management system. The functions for making the causal factors (i.e., input data sets) belong to the pre-processing system. Based on the Structural Equation Modeling (SEM), the inverse analysis of trigger factor can be carried out with the analysis system. The post-processing system supports the editorial works for the trigger factor influence maps, as well as the statistical measurements in analysis. Furthermore, the information providing and management system assumes a role to provide and manage those data sets. The system designs on the TFI-web would become a significant guide for constructing the related system including models on spatial data integration and analysis under the internet-environment. キーワード:斜面崩壊誘因,逆推定,ネットワーク環境,衛星リモートセンシングデータ,地理情報,共分散構造分析, 空間情報統合・分析

A web-based trigger factor inverse analysis system for slope failure hazard mapping