教師資料查詢 | 類別: 期刊論文 | 教師: 陳怡如YI-JU CHEN (瀏覽個人網頁)

標題:Geographically weighted regression modeling for multiple outcomes
學年110
學期1
出版(發表)日期2022/01/07
作品名稱Geographically weighted regression modeling for multiple outcomes
作品名稱(其他語言)
著者Vivian Yi-Ju Chen; Tse-Chuan Yang; Hong-Lian Jian
單位
出版者
著錄名稱、卷期、頁數Annals of the Association of American Geographer
摘要Geographically weighted regression (GWR) has been a popular tool applied in various disciplines to explore spatial nonstationarity for georeferenced data. Such a technique, however, typically restricts the analysis to a single outcome variable and a set of explanatory variables. When analyzing multiple interrelated response variables, GWR fails to provide sufficient information about the data because it only allows separate modeling for each response variable. This study attempts to address this gap by introducing a geographically weighted multivariate multiple regression (GWMMR) technique that not only explores spatial nonstationarity but also accounts for correlations across multivariate responses. We first present the model specification of the proposed method and then draw the associated statistical inferences. Several modeling issues are discussed. We also examine finite sample properties of GWMMR using simulation. For an empirical illustration, the new technique is applied to the stop-and-frisk data published by the New York Police Department. The results demonstrate the usefulness of the GWMMR.
關鍵字geographically weighted regression;multiple outcomes;multivariate multiple regression;spatial nonstationarity
語言英文
ISSN2469-4452
期刊性質國外
收錄於SCI;SSCI;Scopus;ABS*;NotTSSCI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
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