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メッシュデータを用いた人口増減地区の抽出方法

フォーマット:
論文
責任表示:
OKUNUKI, Kei-ichi ; KUSANO, Kuniaki ; 奥貫, 圭一 ; 草野, 邦明
言語:
日本語
出版情報:
群馬大学社会情報学部, 2023-03-01
著者名:
掲載情報:
群馬大学社会情報学部研究論集
ISSN:
1346-8812  CiNii Research  Webcat Plus  JAIRO
巻:
30
開始ページ:
27
終了ページ:
35
バージョン:
VoR
概要:
Departmental Bulletin Paper<br />This paper discusses a method of detecting districts in which the population is increasing or decreasing. Population change ratios are usually used to account for population change. However, when we try to find the districts with population increase or decrease by drawing a choropleth map showing the ratios of population changes, the results are able to vary depending on the reader’s ability of map reading. Furthermore, the resulting districts are able to have the same tendency of population increase/decrease as their neighboring areas, and the increase/decrease should not be considered to be that of the districts locally, but to be that of the neighboring areas entirely. Therefore, we propose a method applying GWR: Geographic Weighted Regression model, which enables us to consider local population changes, to mechanically find the population increase/decrease areas without the need for human map reading. An example of the proposed method is shown, where a set of 1km mesh data of the census 2000, 2010 and 2020 in the case of Gunma prefecture is analyzed. Through the example, it is shown that the proposed method can be practically carried out under the use of GIS application software such as ArcGIS. 続きを見る
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