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Area-to-point parameter estimation with geographically weighted regression
http://hdl.handle.net/2241/00126246
http://hdl.handle.net/2241/0012624605a5084a-821b-498a-9cd0-9a4ad397ad89
名前 / ファイル | ライセンス | アクション |
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JGS_17-3 (1.7 MB)
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Item type | Journal Article(1) | |||||
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公開日 | 2015-09-10 | |||||
タイトル | ||||||
タイトル | Area-to-point parameter estimation with geographically weighted regression | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
著者 |
Murakami, Daisuke
× Murakami, Daisuke× Tsutsumi, Morito |
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著者別名 |
村上, 大輔
× 村上, 大輔× 堤, 盛人 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | The modifiable areal unit problem (MAUP) is a problem by which aggregated units of data influence the results of spatial data analysis. Standard GWR, which ignores aggregation mechanisms, cannot be considered to serve as an efficient countermeasure of MAUP. Accordingly, this study proposes a type of GWR with aggregation mechanisms, termed area-to-point (ATP) GWR herein. ATP GWR, which is closely related to geostatistical approaches, estimates the disaggregate-level local trend parameters by using aggregated variables. We examine the effectiveness of ATP GWR for mitigating MAUP through a simulation study and an empirical study. The simulation study indicates that the method proposed herein is robust to the MAUP when the spatial scales of aggregation are not too global compared with the scale of the underlying spatial variations. The empirical studies demonstrate that the method provides intuitively consistent estimates. | |||||
書誌情報 |
Journal of Geographical Systems 巻 17, 号 3, p. 207-225, 発行日 2015-07 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1435-5930 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA11408992 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1007/s10109-015-0212-8 | |||||
権利 | ||||||
権利情報 | © Springer-Verlag Berlin Heidelberg 2015. The final publication is available at link.springer.com. | |||||
著者版フラグ | ||||||
値 | author | |||||
出版者 | ||||||
出版者 | Springer |