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Fall 2009
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Korea Land Corporation Consolidates and Streamlines Operations with ArcGIS Server

Creating an Enterprise Decision Support System

Highlights

  • Enterprise system manages more than 125 layers of geographic data.
  • More than 400 employees can use the system via the Web.
  • Processing time has been significantly reduced.

Situated on the Korean Peninsula, the Republic of Korea supports a population of more than 48 million people. This small, densely populated nation continues to expand economically and today stands as the world's eleventh largest trading nation, led by its shipbuilding industry and the manufacture of electronics, semiconductors, and automobiles.

  chart of land use
The targeted area filtered through the previous analysis is visualized by each land use with the chart.

In 1975, the government formed Korea Land Corporation (KLC) to acquire, manage, and develop land for the government and residents in the country. KLC implemented a GIS in 1990 to support its land management efforts and began collecting and indexing digital geographic information, including cadastral, terrain, and environmental datasets. The collected datasets subsequently evolved into KLC's spatial data warehouse (SDW), which reduced redundancy and brought to the agency an integrated platform that increased access to the latest available data. In addition, SDW's common spatial data model and metadata development have improved the quality of the data and helped establish an information-based workflow. SDW stores more than a terabyte of data and includes the Korea land information system, land suitability assessment, urban planning information system, urban planning statistics system, and other datasets used by KLC. The SDW developed by KLC and those databases created and maintained by the Seoul metropolitan government, Daejeon City, and other agencies are part of South Korea's national spatial data infrastructure.

Following an extensive period of competitive analysis, KLC selected ArcGIS Server software to be the heart of the enterprise decision support system that it launched in 2006—the Spatial Information Knowledge System (SPINKS). This allowed KLC to maximize its use of Web GIS capabilities. Oracle 10g R2 is used as the relational database management system. SPINKS was primarily implemented to support sustainable development and balanced land management throughout the country, such as land planning, the management of land reserves, the analysis of its land compensation program, and the development of new residential and commercial districts. It enables staff members throughout KLC to access spatial data, use the powerful geoprocessing tools available in ArcGIS Server for analysis, and help develop and support KLC's land-use policies.

SPINKS manages more than 125 layers of geographic data found in KLC's spatial data warehouse. The data is provided via the Web to more than 400 employees located throughout the country. Access to the data and related applications is determined by the nature of an employee's work. Some use the system to simply view data, while others perform complex analyses. The powerful, easy-to-use applications were built using Microsoft's .NET platform and the C++ programming language to make the system readily accessible to all users. This has lowered the learning curve and training costs and helped increase the efficiency of the people using the system.

  example of a map that excludes excess elevation and slope data
A target area is visualized with a map that excludes excess elevation and slope data.

South Koreans are city dwellers; more than 50 percent of the country's residents live in Seoul, the nation's capital, and its surrounding suburbs. Because of the continuing need to review urban housing initiatives, KLC began the implementation of SPINKS in this region. Today, it is used throughout the entire country.

A key function of SPINKS is the evaluation of land for potential housing projects. The process also includes land acquisition and the determination of compensation to be made to landowners for purchasing their land. Forty staff members use the system to analyze potential sites for land acquisition. After selecting a land area from the administration data, which includes city, county, and district boundaries, a digital elevation model (DEM) is included to determine whether the specified area is suitable for development. Areas meeting the geographic requirements, such as slope specifications, are then saved in the SPINKS system for further processing. Thematic geographic layers (including protected habitats, rivers and streams, roadway networks, local utilities, hazardous materials, and regulations) are overlaid with the specified area to further determine whether it is suitable for development. The results of the analysis are then published, and staff members can download them for additional processing.

The steps involved in compensating landowners for these acquisitions include performing basic research planning; publishing land-use maps; extracting the asset designation numbers and verifying their correspondence with land records; writing papers, including official land details; issuing official papers to proceed; separating project areas; surveying the land; surveying for obstacles; and conducting compensation examination. Prior to the implementation of the ArcGIS Server software-based SPINKS, this extensive procedure took more than three months. Today, the entire process takes less than a week.

More Information

For more information, contact Jung-ho Jang, Esri Korea, Inc. (e-mail: jhjang@esrikr.com).

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