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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Korea Spatial Information Society
Journal Basic Information
Journal DOI :
The Korean Association of Geographic Inforamtion Studies
Editor in Chief :
Volume & Issues
Volume 19, Issue 6 - Dec 2011
Volume 19, Issue 5 - Oct 2011
Volume 19, Issue 4 - Aug 2011
Volume 19, Issue 3 - Jun 2011
Volume 19, Issue 2 - Apr 2011
Volume 19, Issue 1 - Feb 2011
Selecting the target year
A Study of Evaluating on Values of Customized Spatial Information Technology
Kim, Eun-Hyung ;
Journal of Korea Spatial Information Society, volume 19, issue 2, 2011, Pages 1~7
For desirable ubiquitous web environments, one of the R&D projects by Korean Land Spatialization Group, has been done to develop a geospatial platform for custom ized land information and geospatial services. To make a better judgement for the investment in the project, analyses for evaluating value of the platform technology and others are done to propose better strategies for the future project management and commercialization of the platform technology. Wiith review of theories and evaluation methods for the technological values, this study suggests 3 evaluating methods: cost approach methods, market approach methods, and income approach methods with focusing on the customized geospatial information platform technology. Results of the evaluation are as follows: the value(over 3,600 million won) estimated by using cost approach methods is larger than the value(over 2,200 million won) using income approach method. Based on evaluation time and methods, the estimated value of geospatial platform technology can be different. This study is performed in relatively early stage of technology developments and results of it will be a reference for commercialization of customized geospatial information platform technology.
Development of Biotope area ratio Estimation Model using GIS
Lee, Ji-Soo ; Lee, Seung-Wook ; Lee, Seung-Yeob ; Hong, Won-Hwa ;
Journal of Korea Spatial Information Society, volume 19, issue 2, 2011, Pages 9~18
The purpose of this research is to evaluate an accurate biotope area ratio model with efficiency and convenience of database management through promoting sustainable development to provide people amenities in a new town. In particular, the biotope area ratio is used not only in the environment impact assessment but Green building certification criteria. But now there is no any index map of biotope. So it is very hard to implement with data for supplement results. In this research, we suggest the model of integrated attributable information. The evaluation of biotope area ratio is to include a basic land use planning map and a building coverage area which is a wall of greening surface and roof. In case of non building coverage area, the evaluation of biotope area ratio is to include water space, artificial ground, natural ground and pervious gap-pave. A weighted value on the spatial information is combined into the information. And then the merged one is given a land use planning information in a block. In the weighted value on the space type information, it is possible to in its circumstances. Therefore, it can be substituted a correspondence of numerical change for various values elastically in this model.
A Study on a Post-Processing Technique for MBES Data to Improve Seafloor Topography Modeling
Kim, Dong-Moon ; Kim, Eung-Nam ;
Journal of Korea Spatial Information Society, volume 19, issue 2, 2011, Pages 19~28
Three dimensional modeling for seafloor topography is essential to monitoring displacements in underwater structures as well as all sorts of disasters along the shore. MBES is a system that is capable of high-density water depth measurement for seafloor topography and is in broad uses for gathering 3D data and detecting displacements. MBES data, however, contain random errors that take place in the equipment offset and surveying process and require systematic researches on the correction of wrong depth measurements. Thus this study set out to propose a post-processing technique to eliminate an array of random errors taking place after equipment offset correction and basic noise correction in the MBES system and analyze its applicability to seafloor topography modeling by applying it to the subject area.
A-priori Comparative Assessment of the Performance of Adjustment Models for Estimation of the Surface Parameters against Modeling Factors
Seo, Su-Young ;
Journal of Korea Spatial Information Society, volume 19, issue 2, 2011, Pages 29~36
This study performed quantitative assessment of the performance of adjustment models by a-priori analysis of the statistics of the surface parameter estimates against modeling factors. Lidar, airborne imagery, and SAR imagery have been used to acquire the earth surface elevation, where the shape properties of the surface need to be determined through neighboring observations around target location. In this study, parameters which are selected to be estimated are elevation, slope, second order coefficient. In this study, several factors which are needed to be specified to compose adjustment models are classified into three types: mathematical functions, kernel sizes, and weighting types. Accordingly, a-priori standard deviations of the parameters are computed for varying adjustment models. Then their corresponding confidence regions for both the standard deviation of the estimate and the estimate itself are calculated in association with probability distributions. Thereafter, the resulting confidence regions are compared to each other against the factors constituting the adjustment models and the quantitative performance of adjustment models are ascertained.
Study on Building Data Set Matching Considering Position Error
Kim, Ki-Rak ; Huh, Yong ; Yu, Ki-Yun ;
Journal of Korea Spatial Information Society, volume 19, issue 2, 2011, Pages 37~46
Recently in the field of GIS(Geographic Information System), data integration from various sources has become an important topic in order to use spatial data effectively. In general, the integration of spatial data is accomplished by navigating corresponding space object and combining the information interacting with each object. But it is very difficult to navigate an object which has correspondence with one in another dataset. Many matching methods have been studied for navigating spatial object. The purpose of this paper is development of method for searching correspondent spatial object considering local position error which is remained even after coordinate transform ation when two different building data sets integrated. To achieve this goal, we performed coordinate transformation and overlapped two data sets and generated blocks which have similar position error. We matched building objects within each block using similarity and ICP algorithm. Finally, we tested this method in the aspect of applicability.
SQR-Tree : A Hybrid Index Structure for Efficient Spatial Query Processing
Kang, Hong-Koo ; Shin, In-Su ; Kim, Joung-Joon ; Han, Ki-Joon ;
Journal of Korea Spatial Information Society, volume 19, issue 2, 2011, Pages 47~56
Typical tree-based spatial index structures are divided into a data-partitioning index structure such as R-Tree and a space-partitioning index structure such as KD-Tree. In recent years, researches on hybrid index structures combining advantages of these index structures have been performed extensively. However, because the split boundary extension of the node to which a new spatial object is inserted may extend split boundaries of other neighbor nodes in existing researches, overlaps between nodes are increased and the query processing cost is raised. In this paper, we propose a hybrid index structure, called SQR-Tree that can support efficient processing of spatial queries to solve these problems. SQR-Tree is a combination of SQ-Tree(Spatial Quad- Tree) which is an extended Quad-Tree to process non-size spatial objects and R-Tree which actually stores spatial objects associated with each leaf node of SQ-Tree. Because each SQR-Tree node has an MBR containing sub-nodes, the split boundary of a node will be extended independently and overlaps between nodes can be reduced. In addition, a spatial object is inserted into R-Tree in each split data space and SQ-Tree is used to identify each split data space. Since only R-Trees of SQR-Tree in the query area are accessed to process a spatial query, query processing cost can be reduced. Finally, we proved superiority of SQR-Tree through experiments.
Storing and Querying Trajectory Information on PostgreSQL/PostGIS
Yang, Pyoung-Woo ; Lee, Yong-Mi ; Lee, Yon-Sik ; Nam, Kwang-Woo ;
Journal of Korea Spatial Information Society, volume 19, issue 2, 2011, Pages 57~64
This paper describes how to storing and querying trajectory information on PostgreSQL/PostGIS. Recently as technology of mobile devices is advancing, many researches for location-based services and moving object's trajectory have been studied. Trajectory is the set of information of the location by the time, and is one of the most im portant information for location-based services. Traditional spatial database systems do not support trajectory data types and functions. In this paper, we propose a trajectory data type and query functions for moving objects on PostgreSQL/PostGIS.
Development of GIS-based Advertizing Postal System Using Temporal and Spatial Mining Techniques
Lee, Heon-Gyu ; Na, Dong-Gil ; Choi, Yong-Hoon ; Jung, Hoon ; Park, Jong-Heung ;
Journal of Korea Spatial Information Society, volume 19, issue 2, 2011, Pages 65~70
Advertizing postal system combined with GIS and temporal/spatial mining techniques has been developed to activate advertizing service and conduct marketing campaign efficiently. In order to select customers accurately, this system provide purchase propensity information using sequential, cyclicpatterns and lifesytle information through RFM analysis and clustering technique. It is possible for corporate mailer to do customer oriented marketing campaign with the advertizing postal system as well as 'one-stop' service including target customer selection, mail production, and delivery request.
TFP tree-based Incremental Emerging Patterns Mining for Analysis of Safe and Non-safe Power Load Lines
Lee, Jong-Bum ; Piao, Ming Hao ; Ryu, Keun-Ho ;
Journal of Korea Spatial Information Society, volume 19, issue 2, 2011, Pages 71~76
In this paper, for using emerging patterns to define and analyze the significant difference of safe and non-safe power load lines, and identify which line is potentially non-safe, we proposed an incremental TFP-tree algorithm for mining emerging patterns that can search efficiently within limitation of memory. Especially, the concept of pre-infrequent patterns pruning and use of two different minimum supports, made the algorithm possible to mine most emerging patterns and handle the problem of mining from incrementally increased, large size of data sets such as power consumption data.