教師資料查詢 | 類別: 會議論文 | 教師: 陳怡如 Yi-ju Chen (瀏覽個人網頁)

標題:On the Use of Geographically Weighted Count Models
學年
學期
發表日期2020/08/20
作品名稱On the Use of Geographically Weighted Count Models
作品名稱(其他語言)
著者Vivian Yi-Ju Chen
作品所屬單位
出版者
會議名稱第二十九屆南區統計研討會
會議地點嘉義縣台灣
摘要The past years have experienced growth in the methodological development that
intend to explore spatial nonsationarity for spatially count data based on the technique of geographically weighted regression. Several geographically weighted count models have been introduced in literature to deal with the challenges of analyzing the count data without/with overdispersion and/or excessive zeros. However, researchers have lagged to provide a comparative assessment across all the proposed methods. In this study, we argue that spatial analysts should pay sufficient attention to analytical model comparisons since different geographically weighted count models may generate competing accounts of the same data set. Here we first review the existing techniques and introduce geographically weighted zero-inflated negative binomial model as a methodological complement. Several qualitative measures and graphical tools are then suggested to compare among various GW count models. We also illustrate their utility using an example from a study of Taiwan dengue data. The results demonstrate the importance of model comparisons in investigating spatial nonstationarity for spatial count data analyses.
關鍵字Spatial nonstationarity;Geographically weighted regression;Count data;Overdispersion;Zero inflation
語言中文
收錄於
會議性質國內
校內研討會地點
研討會時間20200820~20200821
通訊作者
國別中華民國
公開徵稿
出版型式
出處
相關連結
SDGs
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