• Title/Summary/Keyword: GIS spatial analysis

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MODELING OF HUMAN INDUCED CO2 EMISSION BY ASSIMILATING GIS AND SOC10-ECONIMICAL DATA TO SYSTEM DYNAMICS MODEL FOR OECD AND NON-OECD COUNTRIES

  • Goto, Shintaro
    • Proceedings of the KSRS Conference
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    • 1998.09a
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    • pp.3-8
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    • 1998
  • Using GIS and socio-economical data the relationship between human activities and global environmental change Is Analysed from the view point of food productivity and CO2 emission. Under the assumption that the population problem, the food problem and global warming due to energy consumption can be stabilized through managing land use, impacts of human activities such as consumption of food, energy and timber on global environment changes, and global population capacity are Analysed using developed system dynamics model in the research. In the model the world is divided into two groups: OECD countries and the others. Used global land use data set Is land cover map derived from satellite data, and potential distribution of arable land is estimated by the method of Clamor and Solomon which takes into consideration spatial distribution of climate data such as precipitation and evapotranspiration. In addition, impacts of CO2 emission from human activities on food production through global warming are included in the model as a feedback. The results of the analysis for BaU scenario and Toronto Conference scenario are similar to the results of existing models. From the result of this study, the human habitability in 2020 is 8 billion people, and CO2 emission in 2020 based on BaU Scenario and on Toronto Scenario is 1.7 and 1.2 times more than the 1986's respectively. Improving spatial resolution of the model by using global data to distribute the environmental variables and sauce-economical indices is left for further studies.

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Development of Environmental Impact Assessment System Using Geographic Information System for Environment-friendly Construction (친환경 건설을 위한 GIS 기반의 환경영향평가시스템 개발)

  • Woo, Je-Yoon;Koo, Jee-Hee;Kim, Tae-Hoon;Hong, Chang-Hee
    • Journal of Korea Spatial Information System Society
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    • v.5 no.2 s.10
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    • pp.33-53
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    • 2003
  • This study presents the system to develop the web-based pro-environmental road planning and evaluation system in order to support the decision making for the land development. It was found that the proposed system can display the analysis result 3 dimensionally based on digital map and it can be applied to document development towards efficient operations.

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Syntax-based Accessibility Analysis Algorithm for Indoor Spaces (실내공간을 위한 기반 Syntax 접근성 분석 알고리즘)

  • Kim, Hye-Yeong;Jeon, Cheol-Min
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2007.10a
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    • pp.247-256
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    • 2007
  • Accessibility is a field of study that has primarily been applied to urban or transportation problems two dimensionally. However, in large complex buildings as shopping centers or hospitals, inter-spatial accessibility among compartments has to be taken into account such as in building layouts or evacuation planning. This study expands space syntax theory, one of accessibility-related methodologies used for computing connectivity in urban or architectural spaces, into 3D indoor spaces. Although space syntax is basically a topology-based theory that does not consider general costs such as distance or time, this study suggests modification that incorporates different types of impedances in moving between places including distances, turns and transfers between floors. The proposed method is applied to a 3D campus building model in computing and displaying the accessibility to exit doors or cohesive accessibility among similar functions.

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Evaluating Rebuilding Priority to Improve Residential Environment Using Spatial Weighting: A Case Study on Shinchun-Dong of Daegu Metropolitan City (공간 가중치를 이용한 주거환경 개선지역 우선순위평가: 대구광역시 신천동을 사례로)

  • Son, Seung-Hooi;Park, Ki-Heon;Um, Jung-Sup
    • Journal of the Korean Geographical Society
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    • v.43 no.6
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    • pp.961-980
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    • 2008
  • It is usual to prioritize the blocks to rearrange residential environment by the responsible officer's intuition or a few specialist's experienced knowledge. The aim of this research was to evaluate rebuilding priority in the context of spatially weighted framework integrating resident's view. The spatial weighting for the variables related to evaluation of dwelling environment was derived from AHP (Analytic Hierarchy Process) approach through the analysis of resident's view. An empirical study for a case study site has been conducted to confirm the validity for the spatial weighting. The spatial weighting has frequently influenced in changing the rebuilding priority and was identified as the important predictor for the improvement sites of dwelling environment. The spatially weighted analysis made it possible to identify area-wide patterns of rebuilding priority area subject to many different type of thematic variables, which cannot be acquired by traditional field sampling. The spatially weighting derived by integrating various formats of spatial data into a comprehensive GIS database in particular, was ideally suited to displaying the objective distribution patterns for rebuilding priority. The result of this study would play a crucial role in dealing with public complaints for rebuilding priority since it could provide objective evidences in accordance with spatial weighting.

The Characteristics of the Compositions and Spatial Distributions of Submerged Marine Debris in the East Sea (동해의 해양침적쓰레기 성상 및 공간 분포 특성 연구)

  • Jeong, MinJi;Kim, Nakyeong;Park, Miso;Yoon, Hongjoo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.2
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    • pp.295-307
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    • 2021
  • The Korean Peninsula is surrounded on three sides by the East Sea, West Sea and South Sea which are connected to many rivers and streams, thereby facilitating easy inflow of debris from land. Furthermore, excessive debris inflow to the sea because of active fishing and various recreational activities. Debris entering the sea are weighted over time and settle in the seabed, thus, making direct monitoring of debris impossible and its collection difficult. Uncollected submerged marine debris affects the seabed ecosystem and water quality and can cause ghost fishing and ship accidents, especially due to waste net ropes and waste fishing gears. Therefore, understanding the debris distribution characteristics is necessary to assist quick collection of these debris (waste net ropes and waste fishing gears). Thus, this study conducted a survey of debris deposited in the seas of 39 ports. Furthermore, distribution characteristics and compositions of submerged marine debris were identified by a map prepared through GIS-based spatial analysis of the East Sea. Consequently, 58% of waste tires in the East Sea were concentrated in breakwaters and ship berthing facilities. Moreover, 26 % of waste plastics were distributed outside the port. Identifying the distinct distribution characteristics of submerged marine debris was difficult; however, compared with others, the distribution of waste plastics was possible outside the port. The findings of this study can serve as baseline data to assist the collection of submerged marine debris using the distribution characteristics.

The Selection of Spoil-Bank for Reduction of Carbon Emission based on GIS Analysis (탄소배출량 저감을 위한 GIS분석기반의 사토장 선정)

  • Park, Dong Hyun;Kang, In Joon;Kim, Sang Suk;Han, Ki Bong
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.4
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    • pp.3-9
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    • 2012
  • The exhaustion of fuel and tremendous greenhouse gas emissions are caused by the sharp increase in the use of fossil fuel. Especially, accounting for over 25% of carbon dioxide emissions, Construction is main environmental problem. So, in this study, we applied network analysis in the selection of spoil-bank to reinforce the GIS to decrease carbon dioxide emissions in construction sites. As a result, we could calculate the expected carbon dioxide emission and transportation cost of the proposed sites by the shortest distance and the least amount of time. We found that if spoil-bank is chosen based on the result, carbon dioxide emissions will be decreased as much as we plant a pine tree. We can also decrease largely by considering and applying complex causes which affect carbon dioxide emissions in construction.

Applying the L-index for Analyzing the Density of Point Features (점사상 밀도 분석을 위한 L-지표의 적용)

  • Lee, Byoung-Kil
    • Spatial Information Research
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    • v.16 no.2
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    • pp.237-247
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    • 2008
  • Statistical analysis of the coordinate information is regarded as one of the major GIS functions. Among them, one of the most fundamental analysis is density analysis of point features. For analyzing the density appropriately, determining the search radius, kernel radius, has critical importance. In this study, using L-index, known as its usefulness for choosing the kernel radius in previous researches, radius for density analysis of various point features are estimated, and the behavior of L-index is studied based on the estimated results. As results, L-index is not suitable to determine the search radius for the point features that are evenly distributed with small clusters, because the pattern of the L-index is depends on the size of the study area. But for the point features with small number of highly clustered areas, L-index is suitable, because the pattern of the L-index is not affected by the size of study area.

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A Study on the Analysis of the Current Situation of the Target Site Using the Image of Unmanned Aircraft in the Environmental Impact Assessment

  • Ki-Sun Song;Sun-Jib Kim
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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    • pp.381-388
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    • 2023
  • Small-scale environmental impact assessments have limitations in terms of survey duration and evaluation resources, which can hinder the assessment and analysis of the current situation. In this study, we propose the use of drone technology during the environmental impact assessment process to supplement these limitations in the current situation analysis. Drone photography can provide rapid and accurate high-resolution images, allowing for the collection of various information about the target area. This information can include different types of data such as terrain, vegetation, landscape, and real-time 3D spatial information, which can be collected and processed using GIS software to understand and analyze the environmental conditions. In this study, we confirmed that terrain and vegetation analysis and prediction of the target area using drone photography and GIS analysis software is possible, providing useful information for environmental impact assessments.

Test of Fault Detection to Solar-Light Module Using UAV Based Thermal Infrared Camera (UAV 기반 열적외선 카메라를 이용한 태양광 모듈 고장진단 실험)

  • LEE, Geun-Sang;LEE, Jong-Jo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.4
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    • pp.106-117
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    • 2016
  • Recently, solar power plants have spread widely as part of the transition to greater environmental protection and renewable energy. Therefore, regular solar plant inspection is necessary to efficiently manage solar-light modules. This study implemented a test that can detect solar-light module faults using an UAV based thermal infrared camera and GIS spatial analysis. First, images were taken using fixed UAV and an RGB camera, then orthomosaic images were created using Pix4D SW. We constructed solar-light module layers from the orthomosaic images and inputted the module layer code. Rubber covers were installed in the solar-light module to detect solar-light module faults. The mean temperature of each solar-light module can be calculated using the Zonalmean function based on temperature information from the UAV thermal camera and solar-light module layer. Finally, locations of solar-light modules of more than $37^{\circ}C$ and those with rubber covers can be extracted automatically using GIS spatial analysis and analyzed specifically using the solar-light module's identifying code.

An Analysis of Broadband Accessibility at the County Level in the United Slates: a Spatial Analytical Approach Using GIS (미국 카운티의 초고속 인터넷 서비스에 대한 접근성 분석: GIS를 이용한 공간 분석적 접근)

  • Lee, Gun-Hak
    • Journal of the Korean Geographical Society
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    • v.43 no.2
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    • pp.202-219
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    • 2008
  • As demand for high speed Internet service has explosively increased in the United States for the past decade, the construction or upgrades of telecommunication infrastructure has also been rapidly followed. Though currently many people in urbanized areas can be provided advanced broadband services, there are still challengeable areas to be served, such as remote or low populated areas because those areas are potentially non-profitable to commercial broadband service providers. This paper addresses the spatial disparity or in a broader term, the 'digital divide' of the broadband access by the county level in the United States. We propose the quantified measure of the county level broadband accessibility for identifying such digital divide. The developed measure is a hybrid form of the classical gravity based potential model and network topological accessibility, encouraged from the lack of prior efforts eying to explicitly incorporate the understanding of the whole process of the Internet access. The computational tasks are performed in a GIS platform, which includes several programmed functions.