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GIS application on spatial landslide analysis using statistical based models

机译：基于统计模型的GIS在空间滑坡分析中的应用

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This paper presents the assessment results of spatially based probabilistic three models using Geoinformation Techniques (GIT) for landslide susceptibility analysis at Penang Island in Malaysia. Landslide locations within the study areas were identified by interpreting aerial photographs, satellite images and supported with field surveys. Maps of the topography, soil type, lineaments and land cover were constructed from the spatial data sets. There are ten landslide related factors were extracted from the spatial database and the frequency ratio, fuzzy logic, and bivariate logistic regression coefficients of each factor was computed. Finally, landslide susceptibility maps were drawn for study area using frequency ratios, fuzzy logic and bivariate logistic regression models. For verification, the results of the analyses were compared with actual landslide locations in study area. The verification results show that bivariate logistic regression model provides slightly higher prediction accuracy than the frequency ratio and fuzzy logic models.
机译：本文介绍了使用地理信息技术（GIT）在马来西亚槟城岛进行滑坡敏感性分析的基于空间概率的三个模型的评估结果。通过解释航空照片，卫星图像并在野外调查的支持下确定研究区域内的滑坡位置。根据空间数据集构建地形图，土壤类型，线型和土地覆盖图。从空间数据库中提取了十个与滑坡有关的因子，并计算了各因子的频率比，模糊逻辑和双变量对数回归系数。最后，使用频率比，模糊逻辑和双变量逻辑回归模型绘制了研究区域的滑坡敏感性图。为了进行验证，将分析结果与研究区域中的实际滑坡位置进行了比较。验证结果表明，与频率比和模糊逻辑模型相比，双变量逻辑回归模型提供的预测准确性略高。

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