{"title":"Design and Development of an Assistance Tool for Education on the Geospatial Information Technology","authors":"M. Ota","doi":"10.5638/thagis.22.81","DOIUrl":"https://doi.org/10.5638/thagis.22.81","url":null,"abstract":"","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"401 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122817459","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 spatial distribution of land price is indicative of the urban structure of a region. However, since most information on land price is in the form of point data and not surface data, a certain process must be established for the creation of a land price map. The final objective of the current study is to create accurate land price maps of three metropolitan areas in Japan: Tokyo, Nagoya and Kyoto-Osaka-Kobe metropolitan areas. This study uses the officially assessed land prices provided by the Japanese government and data from the land price surveys conducted by prefectural governments. First, the study presents empirical analysis of land price function of each metropolitan area by employing trans-Gaussian kriging, which enables us to consider both spatial dependence and difference of price elasticity by price ranges. Then, the study creates land price maps. Finally, we compare the created land price maps and discuss the nature of the differences in detail.
{"title":"Creation of Residential Land Price Maps for the Three Metropolitan Areas in Japan","authors":"M. Tsutsumi, D. Murakami, A. Shimada","doi":"10.5638/THAGIS.22.69","DOIUrl":"https://doi.org/10.5638/THAGIS.22.69","url":null,"abstract":"The spatial distribution of land price is indicative of the urban structure of a region. However, since most information on land price is in the form of point data and not surface data, a certain process must be established for the creation of a land price map. The final objective of the current study is to create accurate land price maps of three metropolitan areas in Japan: Tokyo, Nagoya and Kyoto-Osaka-Kobe metropolitan areas. This study uses the officially assessed land prices provided by the Japanese government and data from the land price surveys conducted by prefectural governments. First, the study presents empirical analysis of land price function of each metropolitan area by employing trans-Gaussian kriging, which enables us to consider both spatial dependence and difference of price elasticity by price ranges. Then, the study creates land price maps. Finally, we compare the created land price maps and discuss the nature of the differences in detail.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132325921","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}
Using the empirical road network data and regression analysis, we investigated the ratio of the road distance to the straight line distance in major cities in Japan. The ratios are relatively different by cities. Therefore, in order to replace the road distance by the straight line distance, we do not use the known ratio that is revealed in different city without careful consideration. If we replace the road distance by the straight line distance, we have to consider the road network of the target city. In addition, we found that the cities which have small ratio of the road distance to the straight line distance generally tend to have high coefficient of determination. In other hands, the cities that have high ratio of the road distance to the straight line distance generally tend to have small coefficient of determination. Therefore, when we replace the road distance by the straight line distance in the cities which have small ratio of the road distance to the straight line distance, there is a certain degree of reliability.
{"title":"An Empirical Study of the Ratio of the Road Distance to the Straight Line Distance in Major Cities in Japan","authors":"Masato Morita, Katsuyasu Suzuki, Kei-ichi Okunuki","doi":"10.5638/THAGIS.22.1","DOIUrl":"https://doi.org/10.5638/THAGIS.22.1","url":null,"abstract":"Using the empirical road network data and regression analysis, we investigated the ratio of the road distance to the straight line distance in major cities in Japan. The ratios are relatively different by cities. Therefore, in order to replace the road distance by the straight line distance, we do not use the known ratio that is revealed in different city without careful consideration. If we replace the road distance by the straight line distance, we have to consider the road network of the target city. In addition, we found that the cities which have small ratio of the road distance to the straight line distance generally tend to have high coefficient of determination. In other hands, the cities that have high ratio of the road distance to the straight line distance generally tend to have small coefficient of determination. Therefore, when we replace the road distance by the straight line distance in the cities which have small ratio of the road distance to the straight line distance, there is a certain degree of reliability.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127149020","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}
This study investigates the status and issues involved in the use of geographic information systems and science (GIS) in economics. Although economics does not employ GIS as much as environmental sciences and geography do, it uses GIS more than other social sciences do, and increasingly so in the recent years. Graduate students who learn to use GIS for economic analysis recognize both the usefulness of GIS and the difficulty of GIS and data handling. Results from questionnaire surveys suggest that economists have difficulties in obtaining expensive data, and they have few opportunities to learn GIS. Developing GIS education opportunities and curricula, improving GIS educational materials, and expanding knowledge about spatial data availability are expected to advance GIS education and research in economics.
{"title":"Status and Issues of GIS Use in Economics","authors":"Mizuki Kawabata","doi":"10.5638/THAGIS.22.47","DOIUrl":"https://doi.org/10.5638/THAGIS.22.47","url":null,"abstract":"This study investigates the status and issues involved in the use of geographic information systems and science (GIS) in economics. Although economics does not employ GIS as much as environmental sciences and geography do, it uses GIS more than other social sciences do, and increasingly so in the recent years. Graduate students who learn to use GIS for economic analysis recognize both the usefulness of GIS and the difficulty of GIS and data handling. Results from questionnaire surveys suggest that economists have difficulties in obtaining expensive data, and they have few opportunities to learn GIS. Developing GIS education opportunities and curricula, improving GIS educational materials, and expanding knowledge about spatial data availability are expected to advance GIS education and research in economics.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126341918","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}
T. Hiraoka, H. Nonaka, T. Furukawa, S. Tsutsumi, Takashi Hatano
We analyze and evaluate a correlation of total coliform and building data on a monthly basis in the basin of Oita and Ono River. In addition, we analyze and evaluate an optimal range to use the building data from the total coliform’s observation points, and the optimal attributes (number, area, total floor area) of building data. As a result of the analysis, we found that the correlation of total coliform of June and building data is high, and the correlation is high in the case of using the building data of about 7km radius and the total floor area.
{"title":"Correlation analysis of total coliform and building data","authors":"T. Hiraoka, H. Nonaka, T. Furukawa, S. Tsutsumi, Takashi Hatano","doi":"10.5638/THAGIS.22.9","DOIUrl":"https://doi.org/10.5638/THAGIS.22.9","url":null,"abstract":"We analyze and evaluate a correlation of total coliform and building data on a monthly basis in the basin of Oita and Ono River. In addition, we analyze and evaluate an optimal range to use the building data from the total coliform’s observation points, and the optimal attributes (number, area, total floor area) of building data. As a result of the analysis, we found that the correlation of total coliform of June and building data is high, and the correlation is high in the case of using the building data of about 7km radius and the total floor area.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"91 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120906226","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}
Flood hazard maps are quite useful for the aid to damage reduction and emergency operations for major flood crisis. In this paper, in order to derive flood hazard maps even for ungauged basins, we propose a simple method for assessing the flood inundation area based on purely topographical analyses of Digital Elevation Model (DEM), without meteorological data and hydrological models. The quality of the map derived from the proposed method is evaluated for the Fujikawa river basin against the corresponding maps given by Ministry of Land, Infrastructure, Transport and Tourism. Despite the crudeness of the model, the simulated maps are in good agreement with the reference maps. For the Chao Phraya River basin in Thailand, where an unprecedented flood disaster was caused during the 2011 monsoonal season, the simulated flood inundation map successfully reproduces the actual flooded land.
{"title":"A Simple Prediction Method of Potential Flooding Area Only Using Digital Elevation Model","authors":"K. Masutani, J. Magome","doi":"10.5638/THAGIS.22.15","DOIUrl":"https://doi.org/10.5638/THAGIS.22.15","url":null,"abstract":"Flood hazard maps are quite useful for the aid to damage reduction and emergency operations for major flood crisis. In this paper, in order to derive flood hazard maps even for ungauged basins, we propose a simple method for assessing the flood inundation area based on purely topographical analyses of Digital Elevation Model (DEM), without meteorological data and hydrological models. The quality of the map derived from the proposed method is evaluated for the Fujikawa river basin against the corresponding maps given by Ministry of Land, Infrastructure, Transport and Tourism. Despite the crudeness of the model, the simulated maps are in good agreement with the reference maps. For the Chao Phraya River basin in Thailand, where an unprecedented flood disaster was caused during the 2011 monsoonal season, the simulated flood inundation map successfully reproduces the actual flooded land.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134571385","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}
Hisatoshi Ai, R. Kitagaki, Y. Katagiri, Junko Tamura
: This paper proposes a cost estimation sheet supporting decision making for city planning. The urban form is represented by 30 by 30 cells on the sheet and the cost is estimated regard-ing population distribution, population projection, maintenance cost of road network, water supply and sewerage network, and investment for new development site. The sheet first requests its user to input current population distribution and several cost parameters. Then the sheet designates the downtown cells. A distance from closest downtown cell is calculated for each cell, which is used for cost estimation. User will be asked to finalize the spatial plan where cells are given the follow-ing labels; downtown, to be developed as new sub centers, to be disengaged. The maintenance cost is calculated by number of cells, distance from closest downtown, and population within the cell. Finally, the sheet gives how long does it take until the saving of maintenance cost by disengagement will balance the development cost of new sub centers.
{"title":"Cost Estimation Sheet on Spreadsheet Software for Supporting City Planning Decision Making","authors":"Hisatoshi Ai, R. Kitagaki, Y. Katagiri, Junko Tamura","doi":"10.5638/THAGIS.22.27","DOIUrl":"https://doi.org/10.5638/THAGIS.22.27","url":null,"abstract":": This paper proposes a cost estimation sheet supporting decision making for city planning. The urban form is represented by 30 by 30 cells on the sheet and the cost is estimated regard-ing population distribution, population projection, maintenance cost of road network, water supply and sewerage network, and investment for new development site. The sheet first requests its user to input current population distribution and several cost parameters. Then the sheet designates the downtown cells. A distance from closest downtown cell is calculated for each cell, which is used for cost estimation. User will be asked to finalize the spatial plan where cells are given the follow-ing labels; downtown, to be developed as new sub centers, to be disengaged. The maintenance cost is calculated by number of cells, distance from closest downtown, and population within the cell. Finally, the sheet gives how long does it take until the saving of maintenance cost by disengagement will balance the development cost of new sub centers.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124260593","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 formulate a model in which the direction angle influences the ratio of road distance on a rectangular grid network to the Euclidean distance between the endpoints. We used trigonometric regression analysis to test the null hypothesis using an F-test and estimated the parameters of the model in each quadrant around railroad stations in the Tokyo Metropolitan Area. The F-tests show the significance of the model in many regions. The direction angle and the parameters for each region enable the estimation of each road distance from the Euclidean distance between the endpoints.
{"title":"Estimation of the ratio of the road distance on a rectangular grid road network to the Euclidean distance between endpoints from the direction angle","authors":"Tohru Ohba","doi":"10.5638/THAGIS.22.37","DOIUrl":"https://doi.org/10.5638/THAGIS.22.37","url":null,"abstract":"We formulate a model in which the direction angle influences the ratio of road distance on a rectangular grid network to the Euclidean distance between the endpoints. We used trigonometric regression analysis to test the null hypothesis using an F-test and estimated the parameters of the model in each quadrant around railroad stations in the Tokyo Metropolitan Area. The F-tests show the significance of the model in many regions. The direction angle and the parameters for each region enable the estimation of each road distance from the Euclidean distance between the endpoints.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125752229","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 developed a new spatial dataset called “Commercial Accumulation Statistics”. It includes polygon data which represent location, shape, and scale (the number of shops) of commercial areas throughout Japan. First, we developed environment of data development of the Commercial Accumulation Statistics, and completed data development of the entire Japan. Secondly, we verified the reliability through cross-checking with existing statistical data. It led to a conclusion that the data is consistent enough with the existing statistics to monitor the distributions and scales of commercial areas in all prefectures. Finally, data delivery environment was developed to allow researchers to use it for research purposes.
{"title":"Development of Commercial Accumulation Statistics Throughout Japan and Utilization Environment of Them","authors":"Y. Akiyama, Hiroaki Sengoku, R. Shibasaki","doi":"10.5638/THAGIS.21.97","DOIUrl":"https://doi.org/10.5638/THAGIS.21.97","url":null,"abstract":"We developed a new spatial dataset called “Commercial Accumulation Statistics”. It includes polygon data which represent location, shape, and scale (the number of shops) of commercial areas throughout Japan. First, we developed environment of data development of the Commercial Accumulation Statistics, and completed data development of the entire Japan. Secondly, we verified the reliability through cross-checking with existing statistical data. It led to a conclusion that the data is consistent enough with the existing statistics to monitor the distributions and scales of commercial areas in all prefectures. Finally, data delivery environment was developed to allow researchers to use it for research purposes.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129527654","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}
Y. Sekimoto, Akira Nishizawa, Harutoshi Yamada, R. Shibasaki, Jun Kumagai, Takehiro Kashiyama, T. Sagara, Y. Kayama, Shingo Ootomo
The Great East Japan Earthquake, which took place in East Japan area on the 11 March 2011, had a broad impact on land and infrastructure as well as human life. City Bureau, MLIT, Japan has made a survey of the tsunami damage for the local government systematically and comprehensively. This study develops data archiving of this survey result using various open source GIS, in order to keep raw data including GIS data available, as well as report document. This data archive has about 1,000 registered users and 114,000 files that totally amounts to 200GByte, such as tsunami flood area data, building damage status data including photo, evacuation movement data, etc. Finally, We analyze data usage based on their submitted application objectives for their enhanced usage in the future.
{"title":"Data Mobilization by Digital Archiving of the Great East Japan Earthquake Survey","authors":"Y. Sekimoto, Akira Nishizawa, Harutoshi Yamada, R. Shibasaki, Jun Kumagai, Takehiro Kashiyama, T. Sagara, Y. Kayama, Shingo Ootomo","doi":"10.5638/THAGIS.21.87","DOIUrl":"https://doi.org/10.5638/THAGIS.21.87","url":null,"abstract":"The Great East Japan Earthquake, which took place in East Japan area on the 11 March 2011, had a broad impact on land and infrastructure as well as human life. City Bureau, MLIT, Japan has made a survey of the tsunami damage for the local government systematically and comprehensively. This study develops data archiving of this survey result using various open source GIS, in order to keep raw data including GIS data available, as well as report document. This data archive has about 1,000 registered users and 114,000 files that totally amounts to 200GByte, such as tsunami flood area data, building damage status data including photo, evacuation movement data, etc. Finally, We analyze data usage based on their submitted application objectives for their enhanced usage in the future.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114580326","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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