题名

Detection of Outliers in Meteorological Observation Data

作者

Gendai Takahashi;Tomomichi Suzuki;Hironobu Kawamura

关键词

spatio-temporal data ; outliers ; multivariate time series

期刊名称

品質學報

卷期/出版年月

18卷5期(2011 / 10 / 01)

页次

393 - 405

内容语文

英文

英文摘要

Urban heat island is becoming a serious problem that has been analyzed by many research fields. Statistical analysis is one of those fields of research. Statistical analysis uses meteorological data to grasp the features of urban heat island. However, in measurement data from climate observations, erroneous data might occur because of various problems. Outliers are often included in the actually observed data, necessitating detection of the outliers. We propose the method and criteria for detecting outliers included in spatio-temporal data such as meteorological data. We found six outlier patterns included in spatio-temporal data, and we proposed criteria for deleting these patterns. We could delete the six outlier patterns using two criteria. This method will be able to detect and delete outliers included in spatio-temporal data.

主题分类 社會科學 > 管理學
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