• Journal of Korean Society of Rural Planning
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• v.20 no.1
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• pp.77-89
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• 2014

This study intends to establish a system to investigate and analyze various impacting factors to Rural Housings such as the relationship of characteristics of Rural Housings located in a Rural Village to the Village and a Unit Housing, to the External and Internal Spaces inside the Unit Housing and the Village, and to Living Characteristics of the Residents and Space from an integrated point of view. The results of this study are largely summarized as following four kinds. Rural Housing Survey System can be largely classified into three stages, and they are a Preliminary Survey, Basic Survey and In-depth Survey. Along with these, the scope of the survey contents can be divided into a survey result by a unit of village, of land, of housing, and of resident's opinion survey. Secondly, the surveys by village unit are on location properties, Village Identity, Street Network, Land Use, Landscape Features and Public Facilities, and consist of Literature, Discussion and Field Survey. Thirdly, the land Unit Surveys are on a Driveway, Gate Location, Housing Placement, Outer Space Design in a Yard and Outer Space Use Characteristics, and consist of Questionnaire and Field Surveys. For the fourth, the Housing Unit Surveys are on an Internal Space Design and Placement, and consist of Questionnaire and Field Surveys. Finally, the Resident Questionnaire Survey consisted of Entire Discussion Survey and a Household one, and then the Entire Survey was on the Village's History, Village's Characteristics, Cultivation Characteristics and Community Activities while an individual one was on Main Living Characteristics, Satisfaction and Utilization Characteristics.

• Survey Research
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• v.11 no.3
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• pp.1-18
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• 2010

How much do people living in different communities vary in their survey responses? A few studies have examined the effect of the social environment on survey response. Making generalizations from these studies by looking at the effect of social environment on survey response is complicated due to differences in survey dimensions, including incentives, survey mode, types of response rates, and geographic levels. Using the 2000 Census Final Response Rates(CFRR) and the 2002 General Social Survey Response Rates(GSSRR) linked with the 2000 Census in the United States, we attempt to understand how community characteristics associated with survey cooperation vary between data sets. We found that people living in poor area are less likely to cooperate with the Census but more likely to cooperate with GSS, while people living in an area with more minors under 18 is more likely to cooperate with both Census and the GSS. By using two data sources with contrasting survey dimensions within the United States, our findings have implications for survey field operations and hopefully will invigorate studies about response rates in a Korean context.

• Journal of Environmental Impact Assessment
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• v.22 no.6
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• pp.725-738
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• 2013

The National Ecosystem Survey in Korea provides information to policy makers for preservation of natural environment and implementation of international agreement. The 1st and 2nd National Ecosystem Survey were carried out between 1986 and 1990, and between 1997 and 2005, respectively. The 3rd National Ecosystem Survey began in 2006 and ended in 2012. In 2013 the pilot survey for the 4th National Ecosystem Survey is ongoing. The 4th National Ecosystem Survey due to the revision of the Natural Environment Conservation Act which has been done every 10 years would change into every five years. It is planned to be conducted from 2014 to 2018. The survey method of the 4th National Ecosystem Survey has been modified to obtain more accurate data for many taxa. The survey for a nocturnal animals will be introduced. In addition, monitoring by setting the grid will get quantitative data seasonally. The vegetation survey will be conducted with a mobile device contained files of aerial image maps including classified vegetation map. National Ecosystem Survey will be improved as follows. First, each survey methods suitable for the purpose should be developed. Second, monitoring methods for obtaining quantitative data should be developed. Finally, the research using the data should be developed in the field of not only ecosystem and biological diversity but also habitat assessment.

• Journal of Environmental Impact Assessment
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• v.21 no.4
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• pp.593-607
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• 2012

The Ministry of Environment have started the 'National Ecosystem Survey' since 1986. It has been carried out nationwide every ten years as the largest survey project in Korea. The second one and the third one produced the GIS-based inventory of species. Three survey methods were different from each other. There were few studies for species distribution using national survey data in Korea. The purposes of this study are to test species distribution models for finding the most suitable modeling methods for the National Ecosystem Survey data and to investigate the modeling results according to survey methods and taxonominal group. Occurrence data of nine species were extracted from the National Ecosystem Survey by taxonomical group (plant, mammal, and bird). Plants are Korean winter hazel (Corylopsis coreana), Iris odaesanensis (Iris odaesanensis), and Berchemia (Berchemia berchemiaefolia). Mammals are Korean Goral (Nemorhaedus goral), Marten (Martes flavigula koreana), and Leopard cat (Felis bengalensis). Birds are Black Woodpecker (Dryocopus martius), Eagle Owl (Bubo Bubo), and Common Buzzard (Buteo buteo). Environmental variables consisted of climate, topography, soil and vegetation structure. Two modeling methods (GAM, Maxent) were tested across nine species, and predictive species maps of target species were produced. The results of this study were as follows. Firstly, Maxent showed similar 5 cross-validated AUC with GAM. Maxent is more useful model to develop than GAM because National Ecosystem Survey data has presence-only data. Therefore, Maxent is more useful species distribution model for National Ecosystem Survey data. Secondly, the modeling results between the second and third survey methods showed sometimes different because of each different surveying methods. Therefore, we need to combine two data for producing a reasonable result. Lastly, modeling result showed different predicted distribution pattern by taxonominal group. These results should be considered if we want to develop a species distribution model using the National Ecosystem Survey and apply it to a nationwide biodiversity research.

• Journal of Digital Convergence
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• v.8 no.3
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• pp.129-141
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• 2010

Though an internet survey, an alternative method for the off-line survey, has various merits is, it still has some problems such as sampling bias and low reliability from insincerity during survey. Especially the exogenous variables such as sample respondents of the environment should be controlled to make internet survey trustworthy. This study attempts to design and implement such system that can help researchers to control the network and sampling environment and behaviors on respondents. Thru the various Question forms and structured Questionnaire design, this study tries to contribute the improvement of survey satisfaction and the reliability for survey result in internet survey system.

• Geophysics and Geophysical Exploration
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• v.27 no.1
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• pp.69-83
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• 2024

Considering importance and specificity, site investigations for deep geological disposal of Spent Nuclear Fuel require stringent quality control, unlike general geotechnical investigations for tunnels and bridges. In this study, we present a case of selecting geophysical survey method for individual site investigation stage and preparing geophysical survey guideline. The proposed geophysical survey guidelines include procedures, considerations, and quality control for exploration planning, data acquisition, data processing, and interpretation. They comprehensively summarize the contents of airborne electromagnetic survey and seismic reflection survey.

• Proceedings of the Korean Association for Survey Research Conference
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• 2003.06a
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• pp.69-84
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• 2003

Main monthly household surveys conducted by National Statistical Office are economically active population survey and household expenditure survey. Samples of these two surveys are redesigned every 5 years based on Census. This paper is about sample redesign of household survey conducted in 2002 based on 2000 Census.

• Proceedings of the Korean Association for Survey Research Conference
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• 2003.06a
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• pp.42-58
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• 2003

The Korean Anthropometric Survey (Size Korea) is a sample survey which estimates on percentiles of several dimensional measurements of the human body arid its component parts. The purpose of this study is to design a sample, which is designed on the base of 1997 survey database. Two different methods are considered to get the sample size for estimating the 5th and 95th percentile of body dimensions of Korean age range 0-80 years.

• Journal of the Korean Data and Information Science Society
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• v.16 no.4
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• pp.989-998
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• 2005

The internet survey is more time and cost efficient than the off-line survey. We design and implement a web-based questionnaire generating system for the internet survey. The system guides users to make up a questionnaire step by step. It also generates data code for the statistical packages such as SPSS and SAS when the internet survey has been done.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2006.04a
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• pp.65-70
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• 2006

For grouping the direction of improvement in the survey industry of Korea Standard Industry Classification, watching for internal survey industry, It has a purpose to present the direction of improvement. On the based of UN International Standard industrial classification, survey industry classification of KSIC has not been focused at the special quality of survey industry which is growing fast. Standard Industry Classification of foreign survey has rapidly adapting to survey industry development as detailed and specialized on purpose. thus, Korea's survey KSIC is in urgency to specialize and detail at the field of survey industry as well.