• Korean Journal of Agricultural and Forest Meteorology
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• v.21 no.4
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• pp.337-346
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• 2019

Land suitability assessments for agricultural crop production determine the suitability of an area in terms of crop yields. We employed the maximum limiting characteristic method (MLCM) and an analytic hierarchy process (AHP) to assess land suitability for Pears (Pyrus) in all Korean provinces (Dos). In general, suitability grades according to the MLCM were much lower than those according to the AHP. The MLCM determined that suitable areas (S1, S2, and S3) exist on 19.55% of the land, whereas 99.08% of the land was classified as suitable by the AHP. Based on information on pear farms in each Korean province in 5 years (1982, 1987, 1992, 1997, 2002, and 2007), the proportion of suitable land area according to the MLCM in each province as compared to all suitable areas was closer to the proportion of areas covered by pear farms in the 5 years in each province and also to the proportion of pear farm areas in 2007 in each province. Based on the assumption that if a province has more suitable areas for pears, more pears will be cultivated in that province, the results of the MLCM can be regarded as more accurate than those of the AHP.

• Journal of Korean Society for Geospatial Information Science
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• v.3 no.1 s.5
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• pp.139-150
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• 1995

The assessment/evaluation of land use suitability is an important part of land use planning. In this paper, we developed. The Expert System for a suitability analysis including the function of data storage, analysis, assessment and display by using Borland C++ Language and could suggest the following results in the suitability analysis to select a site for an industrial complex using this system. 1. With the increase in volume and variety of geo-spatial data now available, it has become necessary to find more efficient ways of storing this data. This report presents the Quadtree structure, as a method of gaining significant savings over conventional raster processing in data storage. 2. In order to get the criteria of suitability analysis, the opinions of specialists, administrative officers and citizens were collected by a questionnaire, and used to calculate the weight of geo-spatial data. Also, The Expert System, which we developed, was designed to do overlay and spatial analysis, as well as reflect the various opinions we collected in the questionnaire. The Expert System is expected to be used in other land use planning.

• Journal of Korean Society of Rural Planning
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• v.9 no.1 s.18
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• pp.19-26
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• 2003

This study investigated and analyzed the current status and operations of tourism farms in the Chuncheon area. By adopting the GIS, an analysis was made of whether the five old tourism farms utilized suitability and how they could open a new one in a suitability. The following results were drawn from the analysis of natural and social suitability factors and accessibility. Time requirements were analyzed taking into account that a majority of tourists came from Seoul and Gyeonggi, area. Four of the five tourism farms were within one hour travel, from these areas but it seemed impossible that they could be reached within one hour considering the actual road conditions and traffic. The natural and social suitability factors of a tourism farm were overlay-analyzed. The land of the first and second class that was considered to be suitable for a tourism farm was $17.12km^2$, which accounted for 1.38% of the entire area examined in the study and 11.50% of the entire agricultural land. The area that was evaluated to be suitable for a tourism farm will be able to attract new tourism farms in the future.

• Journal of Korean Society of Rural Planning
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• v.14 no.3
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• pp.37-51
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• 2008

This study aims to build a model dealing with the location decision of new manufacturing firms and their land demand. The model is composed with 1) the binary logit model structure identifying a future probability of manufacturing firms to locate in a city and their land demand; and 2) the land use suitability of the land demand. The model was empirically tested in the case of Anseong City. We used establishment-level data for the manufacturing industry from the Report on Mining and Manufacturing Survey. 48 industry groups were scrutinized to find the location probability in the city and their land demand via logit model with the dependent variables: number of employment, land capital, building capital, total products, and value-added for a new industry since 2001. It is forecasted that the future land areas (to 2025) for the manufacturing industries in the city are $5.94km^2$ and additional land demand for clustering the existing industries scattered over the city is $2.lkm^2$. Five industrial complex locations were identified through the land use suitability analysis.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.3 s.33
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• pp.15-24
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• 2005

The Land Suitability Assessment(LSA) that was introduced to prevent the unplanned development was viewed from it has applied the same assessment factor on inland and island that has a many different spatial and physical properties, it have many problems. To study the efficient LSA in island that has an totally different spatial, local properties, assessment unit(AU) which the zone of life was considered and on this based, assessment factor was developed. In the AU, middle sized life zone was the best AU to present the regional land properties. In the distance analysis, distance analysis that considered sea was suggested and use it, we ran present the assessment method that was considered the access between islands.

• Land and Housing Review
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• v.3 no.1
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• pp.69-78
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• 2012

This study proposes an approach to improve the accuracy of land assessment result focused on the Land Suitability Assessment. The detailed analysis processes are; (a) that they are analyzed considering resistance in distance measurement on the space characteristics of location, and; (b) that an assessment result is measured according to the threshold definition of membership function, which is applied in estimating conservation suitability. The assessment results are; firstly, the method considering resistance better reflects the local characteristics of area with worse accessibility including rivers and mountains than one by linear distance; secondly, the existing method that the maximum value of a target area is defined as the maximum threshold may draw a value evaluated lower than a threshold definition considering the distribution of measured indices. Finally, satellite images are overlapped with the assessed results, the applicability level from the approach proposed by this study is more coincident with the present status. The assessment method proposed by this study can be meaningful in view of that it improves the accuracy of Land Suitability Assessment. Furthermore, it can be applied as SDSS, which can support effective establishment of urban policies, in case of complementing the problems in executing the assessment system.

• Journal of the Korean Institute of Landscape Architecture
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• v.20 no.3
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• pp.1-10
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• 1992

Land suitability method has become a standard part of planning analysis at many scales. GIS computer packages have been developed for this purpose. But those are still expensive and hard to learn, and also have limits to extend the results to a landscape design. For the relatively simple tasks and CAD-related works, an application of CAD software for the suitability analysis is very useful and easy to handle. For the purpose, this study develops a technique for suitability analysis, using vector based microcomputer CAD softwares.

• Korean Journal of Soil Science and Fertilizer
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• v.43 no.5
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• pp.696-704
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• 2010

The objective of this study was analysis of two methods of land suitability classification for wild edible green. One method was Maximum limiting factor method (MLFM) and the other was Multi-regression method (MRM) for land suitability classification for wild edible green. The investigation was carried out in Pyeongchang, Hongcheong, Hoeingseong, and Yanggu regions in Korea. The obtained results showed that factors related to the decision classification of the land suitability for wild edible green cultivation were land slope, altitude, soil morphology and gravel contents so on. The classification of the best suitability soil for wild edible greens were fine loamy (silty), valley or fan of soil morphology, well drainage class, B-slope (2~7%), available soil depth deeper than 100cm, and altitude higher than 501m. Contribution of soil that influence to crop yields using Multi-regression method were slope 0.30, altitude 0.22, soil morphology 0.13, drainage classes 0.09, available soil depth 0.07, and soil texture 0.01 orders. Using MLFM, area of best suitable land was 0.2%, suitable soil 15.0%, possible soil 16.7%, and low productive soil 68.0% in Hongcheon region of Gangwon province. But, area of best suitable land was 35.1%, suitable soil 30.7%, possible soil 10.3%, and low productive soil 23.9% by MRM. There was big difference of suitable soil area between two methods (MLFM and MRM). When decision classificatin of the land suitability for wild edible green cultivation should consider enough analysis methods. Furthermore, to establishment of land suitability classification for crop would be better use MRM than MLFM.

• Journal of the Korean Association of Geographic Information Studies
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• v.12 no.2
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• pp.111-119
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• 2009

The purpose of this study is to decide the suitability of the land use on eco-city by analysing ecological elements using GIS. Selected ecological elements for suitability analysis were altitude, slope, watershed, biotope, soil productivity, visual sensitivity, vegetation, and green connection. The category of each element was classified into 5 grades, and was given weight according to each element. The maximum value of each element was extracted from overlay analysis process. The result of analysis was classified into 5 grade finally. As a result, land use was proposed to be development, conservation, and preservation area.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.2 s.40
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• pp.43-49
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• 2007

In this study, a GIS spatial analysis method adopted fuzzy concept was introduced and land suitability analysis of waste landfill were conducted through this method. Previous studies conducted site evaluation and land suitability analysis by appling spatial overlay of conventional GIS that based on the boolean logic of crisp set. However these method can not consider the uncertainty of spatial data and the incongruity of data classification criteria, because these method handle spatial data based on the boolean logic of crisp set. As not provided trustable analysis result, conventional GIS spatial overlay method lacks opportunity for expanding use in reality. This study selected waste landfill as facility for analysis and applied fuzzy spatial analysis method as an objective approach. In the concrete contents of study, a series process with regard to the definition procedure of membership function for continuous data and the fuzzy input value generation of spatial data for fuzzy analysis is established. As a result, in this study we proposed a method that derive parameters for deciding the membership function of spatial data by considering the criterion of data classification and factor selection for land suitability analysis of waste landfill.