• Journal of Korean Society of Forest Science
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• v.110 no.1
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• pp.106-115
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• 2021

The aim of the study was to analyze the spatial characteristics of the main producing areas of nontimber forest products. We analyzed the spatial aggregations of the main producing area and their changes using the Moran's I index. We found that 45% of nontimber forest products were significanty spatially clustered. Additionally, in five major products, we observed that the main producing area has expanded and the degree of aggregation has also strengthened over the last ten years. The results of this study can be effectively used for forest policies, such as determining the location and size of the distribution centers of specific forest products.

• Magazine of korean Tunnelling and Underground Space Association
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• v.12 no.2
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• pp.47-56
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• 2010

• Magazine of korean Tunnelling and Underground Space Association
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• v.11 no.2
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• pp.26-33
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• 2009

• Magazine of korean Tunnelling and Underground Space Association
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• v.21 no.4
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• pp.11-33
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• 2019

• Magazine of korean Tunnelling and Underground Space Association
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• v.10 no.3
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• pp.21-29
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• 2008

• Magazine of korean Tunnelling and Underground Space Association
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• v.10 no.2
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• pp.62-70
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• 2008

• Magazine of korean Tunnelling and Underground Space Association
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• v.23 no.1
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• pp.61-80
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• 2021

• Magazine of korean Tunnelling and Underground Space Association
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• v.23 no.3
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• pp.6-14
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• 2021

• Magazine of korean Tunnelling and Underground Space Association
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• v.24 no.1
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• pp.12-21
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• 2022

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.917-930
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• 2021

Recently, as part of the crime prevention measures that focus on spatial characteristics on the determinants of crime-causing, interest in crime prevention (CPTED) through environmental design has been increasing. This study analyzed crime vulnerabilities in Ulju-gun for the purpose of establishing a master plan for crime prevention urban design (CPTED). The 12 indicators, including demographic, socioeconomic, and physical factors, were sampled from prior studies. As a next step, statistical analysis resulted in criminal vulnerability indexes. According to the analysis, districts with a high demographic crime vulnerability indexes were concentrated on apartment complexes, while districts with high socio-economic crime vulnerability indexes have low land prices and high proportion of female population. Also, the districts with high physical crime vulnerability indexes were found to be heavily distributed commercial ones with a large number of entertainment places. However, there was a limit to generalizing the indicators of previous studies to local governments with different regional characteristics. Therefore, further studies should be carried out by establishing additional indicators considering regional characteristics in the future.