On the Use of Geographically Weighted Count Models
學年 109
學期 1
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 zh_TW
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 TWN
公開徵稿
出版型式
出處
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/120279 )