• Journal of Korean Society for Geospatial Information Science
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• v.22 no.3
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• pp.31-37
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• 2014

It is usual for the officially land price of agricultural field parcels to be determined by real estate appraisers's experienced knowledge and intuition without considering quantitatively physical factors that directly influence agricultural productivity. Solar radiation is the most important predictor of agricultural productivity. GIS based simulation techniques were used to evaluate correlation between the officially land price and solar radiation for agricultural field parcels. The results show that officially land price shows random distribution patterns in relation to solar radiation, which proves that officially land price for agricultural field does not reflect agricultural productivity. It is anticipated that this research output could be used as a valuable reference to support more scientific and objective decision-making in the official pricing process of agricultural field parcels.

• Spatial Information Research
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• v.22 no.5
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• pp.87-98
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• 2014

Google Maps have changed the response time of Web-GIS using AJAX technologies. In addition, Google released the Open API named Google Maps API(Application Programming Interface) and it lead to the big paradigm on the Open API, where the SDK(Software Development Kit) and ASP(Application Service Provider) had ruled at the related map market. In short, the Open API has been paradigm-shifting for the web mapping. After this, government, many companies and open source foundations have guided Web-GIS market's growth through releasing the relevant Open APIs. So many comparative analysis on web-mapping API carried out by many researches. However there were no researches that can be applied to our current domestic environments. This paper investigates components of web-mapping API. Then we compare how many components supported and enumerate features for each of those APIs. Finally this paper presents direction of future development of Web Mapping API.

• Economic and Environmental Geology
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• v.34 no.2
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• pp.205-215
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• 2001

The purpose of this study is to analyze the landslide susceptibility, containing the process, which reveals spatial relationships between landslides and geospatial data sets, which occurred in Janghung area in 1998. Landslide locations were detected from remotely sensed image and field survey and topography, soil, forest, and land use data sets were constructed as a spatial database in GIS. As the landslide occurrence factors, slope, aspect, curvature and type of topography, texture, material, drainage and effective thickness of soil, type, age, diameter and density of wood and land use were used. To extract the relationship between landslides and geospatial database, likelihood ratio was calculated and compared with the result of Yongin area. Also, the landslide susceptibility index was calculated by summation of the likelihood ratio and the landslide susceptibility map was generated using the index. As a result, it is expected that spatial relationships between landslides and geospatial database is helpful to explain the characteristics of lilndslide and the landslide susceptibility map is used to reduce associated hazards, and to plan land use and construction.

• Journal of Korean Society of Rural Planning
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• v.18 no.1
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• pp.9-15
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• 2012

This study used GIS method for the characteristic analysis of farmstead location in study area. The present study surveyed the coordinates of location for 76 livestock farmsteads with big size in rural areas within city of Cheonan. Based on the surveyed data, this study analyzed the spatial characteristics of location for the farmsteads by using both new evaluation criteria and their corresponding GIS (geographic information system) layers developed in this research. The criteria consist of six factors, which are 2 geographic factors for slope(SLO) and aspect(ASP) of earth surface, 3 accessability factors for distance from water area(DWA), road(DRO), and built-up area(DBA), including type of landuse(TLA). In the analysis results of six criteria using the grid funcations of GIS, the highest distributed ratios of the farmsteads per criterion were found at the lower slope area less then 2% in SLO, the area with south and south-east direction in ASP, the area with distance between 500m and 1,000m in both DWA and DRO, the area within 500m in DWA, and the paddy and upland area in TLA. As new finding of this study, these analysis results seemed that the farmsteads have been located at the better places with the priority to build and manage conveniently and economically.

• Spatial Information Research
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• v.3 no.2
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• pp.191-204
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• 1995

The data model is a system model which abstracts the spatial and nonspatial fea¬tures of the real world. A system defines through its data model a framework for the inner rep¬resentation of and connections with the outside world. The spatial query language is one of the most efficent framework for defining connection with outside world in the GIS. Existing GIS uses a spatial data model based on relational data model. Therefore, it has some difficulties in data abstraction and representing complex objects through inheritance. In this paper, we pro-pose an object oriented data model-Topological Object Model(TOM). TOM combines object model in ODMG and the planer topological object. Based on this model, we present an object-oriented spatial query language-OQL/Geo. OQL/Geo extends OQL in ODMG and represents TOM effectively. It also provides several operators such as geometric, topological and visible ope-rators. Moreover, it represents with diverse flexivility the request for complex spatial analysis and presentation of query results.

• The KIPS Transactions:PartD
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• v.16D no.3
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• pp.307-316
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• 2009

In this paper, the spatiotemporal data mining methodology for detecting a cycle of power consumption pattern with the change of time and spatial was proposed, and applied to the power consumption data collected by GIS-AMR system with an aim to use its resulting knowledge in real world applications. First, partial clustering method was applied for cluster analysis concerned with the aim of customer's power consumption. Second, the patterns of customer's power consumption data which contain time and spatial attribute were detected by 3D cube mining method. Third, using the calendar pattern mining method for detection of cyclic patterns in the various time domains, the meanings and relationships of time attribute which is previously detected patterns were analyzed and predicted. For the evaluation of the proposed spatiotemporal data mining, we analyzed and predicted the power consumption patterns included the cycle of time and spatial feature from total 266,426 data of 3,256 customers with high power consumption from Jan. 2007 to Apr. 2007 supported by the GIS-AMR system in KEPRI. As a result of applying the proposed analysis methodology, cyclic patterns of each representative profiles of a group is identified on time and location.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3D
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• pp.385-391
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• 2006

It is very important to make a decision for locating public facility site in a objectively way people in general agree with. This is because public facility affects not only daily life of people in there but also a regional development. This paper sets up a site selection model which utilize an accessibility theory and GIS spatial analysis techniques. This model has been applied to all the twelve alternatives of Chungnam Provincial Office (CPO) sites which are well known to the public. On the criterion of average access time from all the other areas in Chungnam Province, CH alternative is found to be the best one followed by CH/AS, AS alternatives. On the basis of total people-travel time CH/AS alternative turns out to be the best one followed by CH, AS alternatives. In conclusion top three best locations for CPO are CH and AS area where transportation facility are in good condition and population density is highest in Chungnam Province. This fact implies that a transportation accessibility and population density are the primary key in determining the location of public facility.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.3
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• pp.1-11
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• 2020

The purpose of this study is to conduct an analysis for classification of unexecuted urban planning facilities using the Geographic Information System(GIS) to prepare measures for systematic and efficient management of unexecuted urban planning facilities and to find ways to establish national territory information for continuous management and operation by database of spatial data of classified unexecuted urban planning facilities. For this purpose, the present state of urban management plan, thematic map, cadastral map, satellite image of Korea Land Information System(KLIS) were collected from Miryang City, and qualitative analysis of the execution and non-execution of urban planning facilities was conducted by combining the layer of urban planning facilities, satellite images, and continuous cadastral layers of cadastral maps with classified and processed owner attribute information. According to the analysis, the unexecuted facilities were derived as unexecuted facilities, as most of the private land, without any current status roads or facilities created in satellite imagery. In addition, although the current status road was opened, the facilities that included some private land were derived as facilities that were recognized and executed by the local government as the de facto controlling entity through public transportation. The derived unexecuted urban planning facilities were divided into layers of shape data and the unexecuted property data were organized to quickly and accurately identify the status of non-executed and statistical information. In this study, we proposed an analysis plan that introduced GIS technology for scientific and rational analysis of unexecuted urban planning facilities and the establishment of reliable spatial data, and proposed a plan to establish a database for connection with existing systems and use of information.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.294-297
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• 2004

The purpose of this study was to develop landslide susceptibility analysis techniques using artificial neural networks and then to apply these to the selected study area of Janghung in Korea. We aimed to verify the effect of data selection on training sites. Landslide locations were identified from interpretation of satellite images and field survey data, and a spatial database of the topography, soil, forest, and land use was constructed. Thirteen landslide-related factors were extracted from the spatial database. Using these factors, landslide susceptibility was analyzed using an artificial neural network. The weights of each factor were determined by the back-propagation training method. Five different training datasets were applied to analyze and verify the effect of training. Then, the landslide susceptibility indices were calculated using the trained back-propagation weights and susceptibility maps were constructed from Geographic Information System (GIS) data for the five cases. The results of the landslide susceptibility maps were verified and compared using landslide location data. GIS data were used to efficiently analyze the large volume of data, and the artificial neural network proved to be an effective tool to analyze landslide susceptibility.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.1
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• pp.1-12
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• 2005

Land suitability assessment is the procedure that assesses development, agriculture or conservation suitability of land according to such criteria as soil, location and usability. But there are many problems to execute land assessment by law. Problems include inadequate basic data, lack of linkage with the spatial planning system, and inefficiency in operation. The purpose of this study is to improve methods of land suitability assessment as a sustainable land use management tool using case study. In this study, land suitability assessment will be executed through GIS. On the basis of the results of this case study, practical and institutional problems are described, and technical solutions are suggested.