{"title":"Integration and Consolidation of General Waste Incineration Facilities in Hokkaido in an Era of Population Decline: Cost Analysis by Using GIS","authors":"Yui Itaya","doi":"10.5638/thagis.26.13","DOIUrl":"https://doi.org/10.5638/thagis.26.13","url":null,"abstract":"","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134465065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hitoshi Taguchi, Hinako Suzuki, H. Sano, Y. Usuda, Yayoi Hotta
Geomorphological Land Classification Maps of Flood-stricken Areas (GLCM) are thematic maps that estimate flood conditions by reading geomorphic elements. Due to their being paper maps that are not published, it is difficult to get hold and utilize GLCM, although they are very useful in order to know and understand flood-disaster risks in local areas. In light of this, we established an online digital GLCM archive. The characteristics of the archive are: 1) GIS data release, and 2) arranged usage rules for re-use. First, we created raster GIS data from paper maps. Second, we obtained permission for re-use from publishers and the Geospatial Information Authority of Japan (GSI). Third, we arranged usage rules for re-use based upon ID. Fourth, we prepared map image APIs (Application Programming Interface), such as Web Map Service (WMS), XYZ tile and Tile Map Service (TMS). Fifth and finally, we opened the digital archive in March 2016.
洪水灾区地貌分类图(GLCM)是通过读取地貌要素来估计洪水状况的专题地图。由于它们是没有出版的纸质地图，因此很难获得和利用GLCM，尽管它们对于了解和了解当地的洪水灾害风险非常有用。鉴于此，我们建立了一个在线数字GLCM档案。该档案的特点是:1)GIS数据发布;2)有条理的使用规则，便于重复使用。首先，我们从纸质地图中创建栅格GIS数据。其次，我们获得了出版商和日本地理空间信息管理局(GSI)的重用许可。第三，我们安排了基于ID的重用使用规则。第四，我们准备了地图图像api(应用程序编程接口)，如Web map Service (WMS)、XYZ tile和tile map Service (TMS)。第五，也是最后一点，我们在2016年3月开放了数字档案。
{"title":"Digital archive of geomorphological land classification maps of flood-stricken areas","authors":"Hitoshi Taguchi, Hinako Suzuki, H. Sano, Y. Usuda, Yayoi Hotta","doi":"10.5638/thagis.26.27","DOIUrl":"https://doi.org/10.5638/thagis.26.27","url":null,"abstract":"Geomorphological Land Classification Maps of Flood-stricken Areas (GLCM) are thematic maps that estimate flood conditions by reading geomorphic elements. Due to their being paper maps that are not published, it is difficult to get hold and utilize GLCM, although they are very useful in order to know and understand flood-disaster risks in local areas. In light of this, we established an online digital GLCM archive. The characteristics of the archive are: 1) GIS data release, and 2) arranged usage rules for re-use. First, we created raster GIS data from paper maps. Second, we obtained permission for re-use from publishers and the Geospatial Information Authority of Japan (GSI). Third, we arranged usage rules for re-use based upon ID. Fourth, we prepared map image APIs (Application Programming Interface), such as Web Map Service (WMS), XYZ tile and Tile Map Service (TMS). Fifth and finally, we opened the digital archive in March 2016.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126593269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The study of geo-tagged tweet data has been increasing. In such a situation, the authors considered the method of noise reduction for improving the precision in the situation visualization by using geo-tagged tweets. Specifically, it is a study from the combination method of the autogeneration of noise reduction filter by using Natural Language Processing (NLP), and the noise reduction by the multiple people in the same time zone and near distance. In the NLP method, precision level at the about 53% was observed from the test by using the morpheme-3gram. And nominal significant difference at the 0.5% was observed in comparison with non-filter method. In the near distance method, precision level at the about 80% was observed, and nominal significant difference at the 0.5% were observed in comparison with NLP method. In the combination method of NLP and near distance, precision level at the about 84% was observed, and nominal significant difference at the 0.5% was observed in comparison with near distance method. Furthermore, in the verification by type of rainfall, it was revealed that the combination method can extract with higher accuracy than the NLP method or the near distance method from the extraction result with high accuracy exceeding 95% in the rainy situation. As a result, under the conditions in urban areas with many tweets, the results from this study on combination method indicated the certain effect.
对地理标记推文数据的研究一直在增加。在这种情况下，作者考虑采用降噪方法，利用地理标记推文提高情境可视化的精度。具体来说，它是从利用自然语言处理(Natural Language Processing, NLP)自动生成降噪滤波器与同一时区近距离多人降噪相结合的方法进行研究。在NLP方法中，使用语素-3gram进行测试，观察到精度水平约为53%。与非过滤法相比，在0.5%处观察到标称显著差异。在近距离方法中，与NLP方法相比，近距离方法的精度水平在80%左右，而在0.5%的标称显著差异。在NLP与近距离结合的方法中，与近距离方法相比，在约84%的精度水平上观察到标称显著性差异，在0.5%的水平上观察到标称显著性差异。此外，在降雨类型的验证中，从提取结果来看，组合方法的提取精度高于NLP方法或近距离方法，在降雨情况下提取精度超过95%。因此，在推文较多的城市条件下，本研究结合方法的结果显示出一定的效果。
{"title":"A study on method of noise reduction for situation visualization by using geo-tagged tweets","authors":"Mitsunori Hattori, Shoji Nishimura","doi":"10.5638/thagis.26.1","DOIUrl":"https://doi.org/10.5638/thagis.26.1","url":null,"abstract":"The study of geo-tagged tweet data has been increasing. In such a situation, the authors considered the method of noise reduction for improving the precision in the situation visualization by using geo-tagged tweets. Specifically, it is a study from the combination method of the autogeneration of noise reduction filter by using Natural Language Processing (NLP), and the noise reduction by the multiple people in the same time zone and near distance. In the NLP method, precision level at the about 53% was observed from the test by using the morpheme-3gram. And nominal significant difference at the 0.5% was observed in comparison with non-filter method. In the near distance method, precision level at the about 80% was observed, and nominal significant difference at the 0.5% were observed in comparison with NLP method. In the combination method of NLP and near distance, precision level at the about 84% was observed, and nominal significant difference at the 0.5% was observed in comparison with near distance method. Furthermore, in the verification by type of rainfall, it was revealed that the combination method can extract with higher accuracy than the NLP method or the near distance method from the extraction result with high accuracy exceeding 95% in the rainy situation. As a result, under the conditions in urban areas with many tweets, the results from this study on combination method indicated the certain effect.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121222999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hideyuki Fujita, Y. Hayakawa, Sohee Lee, T. Sagara
As a joint usage/research center, Center for Spatial Information Science has been supporting researchers by establishing a spatial data infrastructure for academic research and making it available for proposed research projects based on the strict review by inter-university researchers. We reconstruct the information system for managing the whole process above due to the expansion of the data infrastructure and the increase of the number of users. In this paper, we summarize the problems and the proposed solutions in developing the system and evaluate it based on the usage log. We especially summarize specific issues from the viewpoint of open science.
{"title":"Development of Joint Research Assist System (JoRAS) Utilizing Spatial Data Infrastructure: —Insights from Long-term Operation at Center for Spatial Information Science, The University of Tokyo—","authors":"Hideyuki Fujita, Y. Hayakawa, Sohee Lee, T. Sagara","doi":"10.5638/thagis.25.63","DOIUrl":"https://doi.org/10.5638/thagis.25.63","url":null,"abstract":"As a joint usage/research center, Center for Spatial Information Science has been supporting researchers by establishing a spatial data infrastructure for academic research and making it available for proposed research projects based on the strict review by inter-university researchers. We reconstruct the information system for managing the whole process above due to the expansion of the data infrastructure and the increase of the number of users. In this paper, we summarize the problems and the proposed solutions in developing the system and evaluate it based on the usage log. We especially summarize specific issues from the viewpoint of open science.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129263551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Location Specifying for Damaged Road by 2016 Kumamoto Earthquake and Validity of Road Geocoder","authors":"Wataru Kobayashi, T. Sagara","doi":"10.5638/thagis.25.91","DOIUrl":"https://doi.org/10.5638/thagis.25.91","url":null,"abstract":"","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116671630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Demographic composition, e.g., population composition by age-groups, is one of the most basic information for discussing regional issue or planning. The present study compares the future Japan through 2010–2060, estimated by National Institute of Population and Social Security Research, with all municipalities in 2010 from the perspective of demographic compositions classified by fiveyear age groups (0–4, 5–9, ..., 90+). The (dis-)similarity of compositional data can be measured with Aitchison distance, one of the core concepts of compositional data analysis. We create choropleth maps based on Aitchison distance. The maps, for example, indicate that the demographic composition of Sobetsu-cho of Hokkaido prefecture of 2010 is the most analogous of the future of Japan of 2060.
人口构成，如按年龄组划分的人口构成，是讨论区域问题或规划的最基本资料之一。本研究将日本人口与社会保障研究所(National Institute of Population and Social Security Research)估计的2010 - 2060年的未来日本与2010年所有城市的人口构成进行了比较，并按5岁年龄组(0-4岁、5-9岁、…90 +)。成分数据的非相似性可以用艾奇逊距离来度量，艾奇逊距离是成分数据分析的核心概念之一。我们创建基于艾奇逊距离的地形图。例如，这些地图显示，2010年北海道县松别町的人口构成与2060年日本的未来最为相似。
{"title":"The epitome of the future Japan from the perspective of demographic composition: —Application of compositional data analysis to population studies—","authors":"Takahiro Yoshida, M. Tsutsumi","doi":"10.5638/thagis.25.79","DOIUrl":"https://doi.org/10.5638/thagis.25.79","url":null,"abstract":"Demographic composition, e.g., population composition by age-groups, is one of the most basic information for discussing regional issue or planning. The present study compares the future Japan through 2010–2060, estimated by National Institute of Population and Social Security Research, with all municipalities in 2010 from the perspective of demographic compositions classified by fiveyear age groups (0–4, 5–9, ..., 90+). The (dis-)similarity of compositional data can be measured with Aitchison distance, one of the core concepts of compositional data analysis. We create choropleth maps based on Aitchison distance. The maps, for example, indicate that the demographic composition of Sobetsu-cho of Hokkaido prefecture of 2010 is the most analogous of the future of Japan of 2060.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132946882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We often want to repeatedly calculate the distance and travel time between two locations, and GIS has been used for this purpose. However, it is generally assumed that such calculations require expensive software and data and therefore they may be considered not readily available. In the meantime, there currently are freely available spatial network data, GIS software, and web services for optimal path search, and therefore it may appear that it is possible to calculate the distance and traveling time for many sets of pairs of locations without spending any monetary cost. This study conducts an experiment of the calculation of the distance and travel time between locations using freely available data, software, and web services and reports the results. Specifically, we use OpenStreetMap data, QGIS, and Google Maps Distance Matrix API, in this experimental calculation. From the results, we demonstrate the possibilities and limitations of using freely available data, software, and services.
{"title":"An experimental result of distance and travel time calculations between two locations using freely available spatial data, GIS software, and web services","authors":"Atsushi Masuyama","doi":"10.5638/thagis.25.71","DOIUrl":"https://doi.org/10.5638/thagis.25.71","url":null,"abstract":"We often want to repeatedly calculate the distance and travel time between two locations, and GIS has been used for this purpose. However, it is generally assumed that such calculations require expensive software and data and therefore they may be considered not readily available. In the meantime, there currently are freely available spatial network data, GIS software, and web services for optimal path search, and therefore it may appear that it is possible to calculate the distance and traveling time for many sets of pairs of locations without spending any monetary cost. This study conducts an experiment of the calculation of the distance and travel time between locations using freely available data, software, and web services and reports the results. Specifically, we use OpenStreetMap data, QGIS, and Google Maps Distance Matrix API, in this experimental calculation. From the results, we demonstrate the possibilities and limitations of using freely available data, software, and services.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116614087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Kanasugi, Go Matsubara, R. Shibasaki, S. Sugita, H. Fukui
: The number of climbers in Japanese mountains have increased for recent years, and climbing and hiking have been getting constructive fields in tourism. However, some climbing beginners, especially middle aged and older people, who are overconfident on own physical strength sometimes encounter serious accidents and distresses. Actually, an accident and a distress in a mountain have also increased in these years. In order to achieve safer mountain climbing, it would be effective to aggregate and analyze individual climbing experiences in accordance with not only individual conditions but also mountain environments even if there is poor network connection and power supply. Therefore, this pa per aims to organize available datasets for analysis of practical behavior of mountain climbers, and describes methods to obtain climbing behavior data even for middle and older people under poor network and power environment. In particular, we implemented a cloud system to aggregate online-submitted climbing plans, and a check-in app using individual owned IC-cards. Finally, this paper describes some findings and discussions through our field experiments.
{"title":"Study on Measurement method of Mountain Climber Movements for Grasping Climbing Behaviors","authors":"H. Kanasugi, Go Matsubara, R. Shibasaki, S. Sugita, H. Fukui","doi":"10.5638/thagis.25.57","DOIUrl":"https://doi.org/10.5638/thagis.25.57","url":null,"abstract":": The number of climbers in Japanese mountains have increased for recent years, and climbing and hiking have been getting constructive fields in tourism. However, some climbing beginners, especially middle aged and older people, who are overconfident on own physical strength sometimes encounter serious accidents and distresses. Actually, an accident and a distress in a mountain have also increased in these years. In order to achieve safer mountain climbing, it would be effective to aggregate and analyze individual climbing experiences in accordance with not only individual conditions but also mountain environments even if there is poor network connection and power supply. Therefore, this pa per aims to organize available datasets for analysis of practical behavior of mountain climbers, and describes methods to obtain climbing behavior data even for middle and older people under poor network and power environment. In particular, we implemented a cloud system to aggregate online-submitted climbing plans, and a check-in app using individual owned IC-cards. Finally, this paper describes some findings and discussions through our field experiments.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125372690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A framework to analyze skier's behavior with GPS in a snow resort","authors":"Nobuhiko Yoshimura, Yasuhiro Yamanaka, Daisuke Tanaka, Norio Kanbayashi","doi":"10.5638/thagis.25.101","DOIUrl":"https://doi.org/10.5638/thagis.25.101","url":null,"abstract":"","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123764557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tomoya Ohyama, Mamoru Amemiya, T. Shimada, T. Nakaya
Geographical crime prediction have been the focus of much research in western countries over the past decade and crime prediction systems are already in use several countries including Japan where a prefectural police department have recently introduced a certain system. However there has been no prior research into this field in Japan. This paper presents a systematic review of geographical crime prediction and discusses their relevance to the Japanese context. We identify four categories of geographical crime prediction methods: (1) surveillance of space-time clusters of crime; (2) estimation of crime intensity based on space-time interaction; (3) prediction of crime risk based on environmental factors; and (4) prediction of crime numbers/possibilities. These categories are based on established theories and have been developed independently of each other. Finally, we suggest directions for future developments of this research field in Japan.
{"title":"Recent Research Trends on Geographical Crime Prediction","authors":"Tomoya Ohyama, Mamoru Amemiya, T. Shimada, T. Nakaya","doi":"10.5638/thagis.25.33","DOIUrl":"https://doi.org/10.5638/thagis.25.33","url":null,"abstract":"Geographical crime prediction have been the focus of much research in western countries over the past decade and crime prediction systems are already in use several countries including Japan where a prefectural police department have recently introduced a certain system. However there has been no prior research into this field in Japan. This paper presents a systematic review of geographical crime prediction and discusses their relevance to the Japanese context. We identify four categories of geographical crime prediction methods: (1) surveillance of space-time clusters of crime; (2) estimation of crime intensity based on space-time interaction; (3) prediction of crime risk based on environmental factors; and (4) prediction of crime numbers/possibilities. These categories are based on established theories and have been developed independently of each other. Finally, we suggest directions for future developments of this research field in Japan.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130086613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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