城市地质2025，Vol.20Issue(2)：221-228,8.DOI:10.3969/j.issn.2097-3764.2025.02.010
箱图及其Python算法在地质灾害监测数据分析建模预处理阶段的应用研究
Application of box-plot and its python algorithm in the preprocessing stage of geological hazard monitoring data analysis,modeling,and preprocessing
王建西 1王博文 2李敏3
作者信息
- 1. 北京市工程地质研究所,北京 100048
- 2. 北京医学院附属中学,北京 100083
- 3. 北京市地质矿产勘查院,北京 100195
- 折叠
摘要
Abstract
In geological hazard monitoring,data analysis and modeling are of extreme importance.Through statistical analysis of monitoring data,we can gain insight into the changes of geological hazard hidden danger points and reveal the development trend.The quality of monitoring data plays a decisive role in the accuracy and reliability of data analysis modeling and disaster early warning.And data preprocessing,as a key link to improve data quality,is particularly important for the identification and processing of outliers.As a common data visualization tool,box plots are widely used in data analysis.This paper elaborates on the basic concepts and characteristic value calculation and outlier recognition cleaning algorithms based on box diagrams,and uses Python language programming to visualize them.Through practical cases,the effectiveness of box plots and their algorithms in processing geological hazard monitoring data is analyzed and verified.The results show that box plots can accurately locate and deal with outliers,and significantly improve the quality of monitoring data.关键词
地质灾害监测/数据分析建模/数据预处理/箱图应用/算法设计Key words
geological hazard monitoring/data analysis modeling/data preprocessing/box-plot applications/algorithm design引用本文复制引用
王建西,王博文,李敏..箱图及其Python算法在地质灾害监测数据分析建模预处理阶段的应用研究[J].城市地质,2025,20(2):221-228,8.
