• Journal of Information Technology Services
• /
• v.15 no.3
• /
• pp.211-221
• /
• 2016

The human spatial mobility information is in high demand in various businesses; however, there are only few studies on human mobility because spatio-temporal data is insufficient and difficult to collect. Now with the spread of smartphones and the advent of social networking services, the spatio-temporal data began to occur on a large scale, and the data is available to the public. In this work, we compared the movement behavior of residents and tourists by using geo-tagged tweets which contain location information. We chose Seoul to be the target area for analysis. Various creative concepts and analytical methods are used: grid map concept, cells visited concept, reverse geocoding concept, average activity index, spatial mobility index, and determination of residents and visitors based on the number of days in residence. Conducting a series of analysis, we found significant differences of the movement behavior between local residents and tourists. We also discovered differences in visiting activity according to residential countries and used applications. We expect that findings of this research can provide useful information on tourist development and urban development.

• Journal of Korean Society for Geospatial Information Science
• /
• v.20 no.4
• /
• pp.153-159
• /
• 2012

Recently, tthe general users' demand on utilizing spatial information and the establishment of national spatial data such as land cover map are increasingly growing. But the lack of spatial information service for the general public is making it difficult for them to use spatial information and services. In this study, spatial information service strategies based on the concept of atlas, which is familiar to us through the student atlas, were proposed to promote the public users' utilization of land cover map. For this purpose, I reviewed current domestic status and overseas cases of land cover map service and proposed the future direction of spatial information service for land cover map in terms of contents, users, and system. Finally, I defined the basic concept, characteristics and functions of the Atlas Information System and recommended strategies for environmental spatial information service. The results of this study can be applied to various national spatial information as well as land cover map and contribute to the increase of general public users' utilization of national spatial data.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.33 no.6
• /
• pp.527-536
• /
• 2015

Recently, the demand for three-dimensional spatial information has continuously been increasing, and especially, studies of indoor/outdoor spatial information or data construction have actively been conducted. However, utilization of spatial information does not universally spread to the private sector, but it is mostly used for the government offices. Thus, this study deals with the creation of three-dimensional right objects and the technique of expression to further vitalize the private sector, three-dimensional right objects, aiming to create and express three-dimensional right spaces in a particular system or open platform more conveniently. Unlike a plane text or apartment building used in existing maps was iconified and displayed simply, this study proposes a method of extracting data from the outer border of the building by the relevant level based on the existing structured three-dimensional building, a method of providing two-dimensional right spatial objects in XML, and expressing them as three-dimensional right objects efficiently. In addition, this study will discuss a method of creating right objects in a way in which an owner who was provided with a cross section of a building involves the direct detailed right objects in additional production or reproduction to utilize three-dimensional data (right objects) produced through this study.

• Journal of Environmental Science International
• /
• v.8 no.2
• /
• pp.189-195
• /
• 1999

Determining factors and temporal & spatial characteristics of COD(Chemical Oxygen Demand) at the sea surface in Jinhae bay have been examined by using seasonal data, taken at twenty six stations over the whole bay during 1989~1994 by NERDA. The data have been analyzed in terms of long term means, anomalously large values. Jinhae bay is divided into three regions based on the time mean : mouth of Jinhae bay, inner sea of Masan bay, western sea of Jinhae bay called region 1,2 and 3, respectively. The horizontal distribution of the long term mean of COD at each station is similar to those of nitrogen and phosphorus. Characteristics of whole mean variation in the year shows high range of variation in region 2. It was appear to decreases every year in whole trend. Factors determining seasonal variation in whole COD mean are relative to salinity and nutrient, affected by precipitation in summer. Spatial variation shows high range of fluctuation in region 2 compare to other region. Factors determining of spatial variation of COD was appear to nutrient, affected by pollutant load of land area and bottom sediment. The long term mean of COD at each station is closely related with thats of nutrients. The correlation coefficient between COD and nitrogen, phosphate phosphorus was found to be high as 0.75, 0.78, respectively. Anomalously large COD was observed 14 times at 6 stations. These stations are located in inner sea of Masan bay(Region 2) and Songjeong bay(Region 1). The seasonal frequency of the observed anomalous COD is large in April, and other seasons are much the same.

• Journal of the Economic Geographical Society of Korea
• /
• v.9 no.3
• /
• pp.379-395
• /
• 2006

The purpose of this study is to analyze the spatial characteristics of travel patterns and travel behaviors of transit users in the Metropolitan Seoul area. We apply the data mining techniques to explore the travel patterns of transit users from the T-money card database which has been produced over 10,000,000 transaction records per day. The database contains the information of locations and times of origin, transfer, and destination points for each transaction as well as the informations of transit modes taken via the transaction. We develop an data mining algorithm to explore traversal patterns from the enormous information. The algorithm determines the travel sequences of each passenger, and produce the volumes of support on each points (stops) of transportation networks in the Metropolitan Seoul area. In order to visualize the spatial patterns of travel demands for transit systems we apply GIS techniques, and attempt to investigate the spatial characteristics of travel patterns and travel demand. Subway stops located in the Gangnam area appear the highest peak for the travel origin and destination, while the CBD in the Gangbuk stands at the second position. Two or three sub-peaks appear at the densely populated residential areas developed as the high-rise apartment complex. Subway stations located along the Subway Line 2, especially from Guro to Samsung receive heavy travel demand (total support), while bus stops located at the CBD in the Gangbuk stands the highest travel demand by bus.

• Spatial Information Research
• /
• v.11 no.2
• /
• pp.119-130
• /
• 2003

Since GIS strategic implementation plan was prepared in 1995, Seoul Metropolitan Government (SMG) has implemented the distributed GIS at department level, which prevents various SMG organizations from data-sharing and its common utilization. To solve those problems due to the fragmented GIS structure, SMG developed an action plan for the evolution of enterprise GIS with Spatial Data Warehouse (SDW). In this context, this paper initially analyzed the conceptual architecture of SDW structure and then provided the following guidelines for 1) determining the common GIS data and framework data stored at SDW to satisfy the demand for various GIS data from many SMG departments and sub-organizations, 2) developing the data synchronization process and techniques to make effective data-sharing possible, and 3) making an action plan for enterprise GIS of other self-governmental organizations.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.34 no.6
• /
• pp.609-618
• /
• 2016

Since demand for location-based services increases and the relevant service becomes more diverse, the use of POI (Point of Interest) is being required in various fields. Various roles of POI for display, search and inquiry exist, but the implementation and expression of such roles are partially limited. Therefore, the data model for implementation is suggested in this paper to enable practical implementation, expression and inquiry of POI data. The data model was developed based on 3 roles of POI including search, expression and linkage, and especially, the spatial relationship between POI objects which was not suggested in previous data models is considered and time series scheme is suggested to enable various expressions and inquiries in application services.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.46 no.2
• /
• pp.29-37
• /
• 2004

An areal elderly migration model (AEMM) was developed to assess the demand of rural development projects targeted towards elderly people. The AEMM was developed with adaptation of the gravity model to represent spatial interaction regarding amenities. Areal characteristics were classified for estimating the amenities from the perspective of net migration. From 1990 to 2000, data were acquired from USCB, PASDA, PAHEALTH, PADCNR, PFBC, and NCDC in 67 Pennsylvania counties for analysis and application. The results revealed that elderly migration can be explained not only by areal characteristics but also by spatial interaction considering the population, distances, and amenities of surrounding areas.

• Spatial Information Research
• /
• v.19 no.1
• /
• pp.93-105
• /
• 2011

In recent years, large and complex three-dimensional building has been constructed by the development of building technology and advanced IT skills, and people have lived there and spent a considerable time so far. Accordingly. in this sophisticatcd three-dimensional space, emergencies services or convenient information services have been in demand. In order to provide these services efficiently, understanding of topological relationships among the complex space should be supported naturally. Not on1y each method of understanding the topological relationships but also its efficiency can be different depending on different topological data models. B-rep based data model is the most widely used for storaging and representing of topological relationships. And from early 2000s, many researches on a network based topological data model have been conducted. The purpose of this study is to verify the efficiency of performance on spatial queries. As a result, Network-based topological data model is more efficient than B-rep based data model for determining the spatial relationship.

• Journal of Korean Society for Geospatial Information Science
• /
• v.19 no.3
• /
• pp.83-90
• /
• 2011

The purpose of this study is to develop a series of trend analysis models for industrial water consumption and to propose a blueprint for the integration of the developed models with GIS. For the consumption data acquisition, a real-time sensing technique was adopted. Data were transformed from the field equipments to the management server in every 5 minutes. The data acquired were substituted to a polynomial formula selected. As a result, a series of models were developed for the consumption of each day. A series of validation processes were applied to the developed models and the models were finalized. Then the finalized models were transformed to the average models representing a day's average consumption or an average daily consumption of each month. Demand pattern analyses were fulfilled through the visualization of the finally derived models. It has founded out that the demand patterns show great consistency and, therefore, it is concluded that high probability of demand forecasting for a day or for a season is available. Also proposed is the integration with GIS as an IT tool by which the developed forecasting models are utilized.