{"title":"实现思想支持与地理处理无缝集成的QGIS插件开发","authors":"E. Domoto, K. Okuhara, A. René","doi":"10.1109/iiai-aai53430.2021.00103","DOIUrl":null,"url":null,"abstract":"In this paper, we consider developing a QGIS plugin to support ideas from multiple keywords. In the existing idea support system, Google searched for any two keywords, created a co-occurrence network diagram, and visualized the relationships between words in a 3D directed graph. However, since there is no geographic information, it is difficult to know where to use the ideas obtained. Since the co-occurrence network diagram is only information on the Web, it is difficult to reflect the latest trend information. Therefore, we have made it possible to examine where the ideas obtained by using QGIS are practical.","PeriodicalId":414070,"journal":{"name":"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of QGIS Plugin for Seamless Integration of Ideation Support and Geoprocessing\",\"authors\":\"E. Domoto, K. Okuhara, A. René\",\"doi\":\"10.1109/iiai-aai53430.2021.00103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider developing a QGIS plugin to support ideas from multiple keywords. In the existing idea support system, Google searched for any two keywords, created a co-occurrence network diagram, and visualized the relationships between words in a 3D directed graph. However, since there is no geographic information, it is difficult to know where to use the ideas obtained. Since the co-occurrence network diagram is only information on the Web, it is difficult to reflect the latest trend information. Therefore, we have made it possible to examine where the ideas obtained by using QGIS are practical.\",\"PeriodicalId\":414070,\"journal\":{\"name\":\"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iiai-aai53430.2021.00103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iiai-aai53430.2021.00103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of QGIS Plugin for Seamless Integration of Ideation Support and Geoprocessing
In this paper, we consider developing a QGIS plugin to support ideas from multiple keywords. In the existing idea support system, Google searched for any two keywords, created a co-occurrence network diagram, and visualized the relationships between words in a 3D directed graph. However, since there is no geographic information, it is difficult to know where to use the ideas obtained. Since the co-occurrence network diagram is only information on the Web, it is difficult to reflect the latest trend information. Therefore, we have made it possible to examine where the ideas obtained by using QGIS are practical.
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