• 대한공간정보학회지
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• 제14권3호
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• pp.63-70
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• 2006

본 연구의 목적은 웹기반의 공간데이터 구축공정 관리시스템을 개발하는데 있다. 이를 위하여 기본측량 공종을 표준화하고, 품질관리 요소를 정립하였다. 기본측량인 GPS에 의한 기준점 측량, 수준측량, 창공사진촬영, 수치지도제작, 지형도 제작, 수차표고자료 제작, 항공사진 DB 구축, 정사영상지도 제작 공정 및 공종분류체계를 표준화하였다. 또한 기본측량 사업별 성과품 및 품질검사 업무 현황과 성과품 유형별 품질검사 요소 및 데이터 포맷을 분석하였으며, 이를 기반으로 데이터베이스 및 프로세스 설계 단계를 거쳐 공정관리, 품질관리, 메타데이터 관리, 시스템관리로 구성된 웹 기반의 공정관리 시스템을 개발하였다.

• 한국실내디자인학회논문집
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• 제19권4호
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• pp.3-10
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• 2010

The purpose of this study is to select and analyze words that represent various emotional states towards a spatial environment. Selecting appropriate words for the sensibility evaluation of a spatial environment is a process of constructing sensibility indicators, so that an accurate selection of sensibility words is very important. To collect basic words for this study, words for expressing sensation, emotional states, and sensibility regarding a spatial environment have been collected first via free association and a literature review of previous studies. In the second stage, the selected words are refined. Fifteen evaluators have participated in the first process of refining words, 140 college students participated in the second process, and than the final list of 277 refined words has been selected. During the third stage, 15 specialists were asked to evaluate the appropriateness of sensibility evaluation words, for that 7 point-scale has been applied. Then, 99 words with an average point of 4.55 or more and a standard deviation of 1.55 or lower were selected. After investigating the similarity in the meanings of the selected words, 55 pairs of contrasting words have been selected as a final list of sensibility evaluation words. During this last stage, 307 college students majoring in related fields were asked to evaluate the appropriateness of sensibility evaluation words for a spatial environment, and 7 point-scale was obtained. A factor analysis, cluster analysis, and multidimensional analysis have been conducted on the data obtained from these survey. According to the results of the factor analysis, the eight important factors are obtained from the sensibility evaluation criteria of a spatial environment(form, texture, function, value, comfort, aesthetics, atmosphere, and affinity). The factors obtained from this study can be used in the beginning stage of evaluating the sensibility factors of a spatial environment. In addition, the results of this study can be used as basic data when constructing a list of evaluation indicators to select various complex sensibility words for a space; or as general indicators when evaluating various spatial design factors.

• Spatial Information Research
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• 제6권1호
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• pp.77-90
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• 1998

자연적이거나 인위적인 여러 요인의 복합적인 상호작용에 의해 지표는 계속 변화해간다. 자연재해는 생태계의 다양한 군집이 서로 상호작용을 하는데 결정적 영향을 미치는 요소로 이런 변화의 직접적인 원인이 되는 특정 사건의 발생과정이나 공간적 분포에 대한 연구는 환경과 자원관리 측면에서 중요하다. 본 논문에서는 지표변화에 영향을 미치는 자연화재의 경우를 중심으로 공간적 분포를 모형화하는 방법론을 설명하였다. 자연화재는 주로 번개에 의해 발생되어 몇 주에 결쳐 수만 킬로미터의 지역을 태우면서 새롭고 다양한 서식지를 만들어 가는 주된 자연재해중의 하나로 생태계관리차원에서 연구되고 있다. 오스트리아 빅토리아사막을 예로 이곳에서의 자연화재 발생지역을 20년동안의 원격탐사자료(MSS data)로부터 추출하여 이를 바탕으로 자연화재발생에 대한 공간적 모형을 개발하였고 모형에 입각한 시뮬레이션 방법을 논의하였다. 화재발생과정은 불규칙적으로 분포된 공간상의 point pattern에 의해 특징지어질 수 있는데 이의 모형화를 위해서 Nonhomogeneous Planar Poissin Process가 이용되었다.

• 대한조선학회논문집
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• 제61권3호
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• pp.143-151
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• 2024

In this study, we present a mapping framework for 3D spatial reconstruction of digital twin model using navigation and perception sensors mounted on an Autonomous Surface Vehicle (ASV). For improving the level of realism of digital twin models, 3D spatial information should be reconstructed as a digitalized spatial model and integrated with the components and system models of the ASV. In particular, for the 3D spatial reconstruction, color and 3D point cloud data which acquired from a camera and a LiDAR sensors corresponding to the navigation information at the specific time are required to map without minimizing the noise. To ensure clear and accurate reconstruction of the acquired data in the proposed mapping framework, a image preprocessing was designed to enhance the brightness of low-light images, and a preprocessing for 3D point cloud data was included to filter out unnecessary data. Subsequently, a point matching process between consecutive 3D point cloud data was conducted using the Generalized Iterative Closest Point (G-ICP) approach, and the color information was mapped with the matched 3D point cloud data. The feasibility of the proposed mapping framework was validated through a field data set acquired from field experiments in a inland water environment, and its results were described.

• Journal of Forest and Environmental Science
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• 제34권6호
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• pp.419-428
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• 2018

Spatial point-patterns analyses were conducted to provide insight into the ecological process behind competition and mortality in two lodgepole pine (Pinus contorta Dougl. ex Loud. var. latifolia Engelm.) stands, one in the Lower Foothills, and the other in the Upper Foothills natural subregions in the boreal forest of Alberta, Canada. Spatial statistical tests were applied to live and dead trees and included Clark-Evans nearest neighbor statistic (R), nearest neighbor distribution function (G(r)), and a variant of Ripley's K function (L(r)). In both lodgepole pine plots, the results indicated that there was significant regularity in the spatial point-pattern of the surviving trees which indicates that competition has been a key driver of mortality and forest dynamics in these plots. Dead trees generally showed a clumping pattern in higher density patches. There were also significant bivariate relationships between live and dead trees, but the relationships differed by natural subregion. In the Lower Foothills plot there was significant attraction between live and dead tees which suggests mainly one-sided competition for light. In contrast, in the Upper Foothills plot, there was significant repulsion between live and dead trees which suggests two-sided competition for soil nutrients and soil moisture.

• 한국측량학회지
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• 제34권2호
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• pp.111-120
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• 2016

Prior knowledge about the SNS (Social Network Services) datasets is often required to conduct valuable analysis using social media data. Understanding the characteristics of the information extracted from SNS datasets leaves much to be desired in many ways. This paper purposes on analyzing the detail of the target social network services, Twitter, Instagram, and YouTube to establish the spatial informatization process to integrate social media information with existing spatial datasets. In this study, valuable information in SNS datasets have been selected and total 12,938 data have been collected in Seoul via Open API. The dataset has been geo-coded and turned into the point form. We also removed the overlapped values of the dataset to conduct spatial integration with the existing building layers. The resultant of this spatial integration process will be utilized in various industries and become a fundamental resource to further studies related to geospatial integration using social media datasets.

• Journal of Information Processing Systems
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• 제16권3호
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• pp.688-698
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• 2020

Point clouds have ability to express the spatial entities, however, the point clouds redundancy always involves some uncertainties in computer recognition and model construction. Therefore, point clouds thinning is an indispensable step in point clouds model reconstruction and other applications. To overcome the shortcomings of complex classification index and long time consuming in existing point clouds thinning algorithms, this paper proposes a point clouds fast thinning algorithm. Specifically, the two-dimensional index is established in plane linear array (x, y) for the scanned point clouds, and the thresholds of adjacent point distance difference and height difference are employed to further delete or retain the selected sample point. Sequentially, the index of sample point is traversed forwardly and backwardly until the process of point clouds thinning is completed. The results suggest that the proposed new algorithm can be applied to different targets when the thresholds are built in advance. Besides, the new method also performs superiority in time consuming, modelling accuracy and feature retention by comparing with octree thinning algorithm.

• 한국정보통신학회논문지
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• 제8권4호
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• pp.955-959
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• 2004

공간 데이터 마이닝을 위한 기존의 클러스터링 기법들은 점 객체만을 대상으로 한다. 즉, 선이나 면 같은 다양한 공간 객체들을 지원하지 못한다. 이것은 클러스터링 과정에서 객체들 간의 거리 계산에 있어서, 점 객체는 용이하지만 선과 면인 경우에는 어렵기 때문이다. 본 논문에서는 이러한 문제점을 해결하기 위하여 균등 격자를 이용한 클러스터링 기법을 설계한다. 세부적으로 이 기법에서는 다각형 객체들 간의 거리 계산을 균등 격자를 이용하여 단순화시킴으로서 거리 계산에 따른 시간과 비용을 줄일 수 있다.

• 건축역사연구
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• 제11권3호
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• pp.21-34
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• 2002

This study is to analyse the transformation process of spatial structure of traditional small city structure in Jeollabuk-Do in the process of modern urbanization between 19th century and the year 2000. The small cities, IM-PI, YONG-AN, YEO-SAN, OK-GOO, GO-SAN, MU-JANG, GUM-MA, GO-BU, which have been local administrative center in CHO-SUN dynasty, have role of local administrative center of subdivision of country-myon, except OK-GOO. The method of this study is to investigate the transformation process of spatial structural elements of with the actual field surveys, the analysis of Gunhyun map made in 1872, land registration maps in 1910s and 2000, and various topological maps. The elements of analysis are the topological site and geographical situation conditions, the urbanized areas, the street systems, the function of streets, the focal points of urban land use, the land use systems, and the location of major facilities such as administration facilities, markets, bus terminals. The analytical point of view and the results are as follows. There is strong relationship between the transformation of internal matrix route system and the growth pattern of urbanized areas, Especially on the contrary to the matrix route with East-West direction which has the role of checking the growth of urbanized area, the South-North direction route acts as the leading line of the growth. The focal points structure of urban land use shows transformation process from the point of central space of administrative district in front of Nae-A, to the access point to administrative district or to the access point to housing and neighborhood commercial area. From the point of functional area structure and major facilities location, line-type commercial area is developed along the line of central axis route and access route to administrative district. Especially direction of the growth of commercial area is strongly connected with the interrelationship between the study area and its neighboring cities. Pattern of commercial district development is varied with the direction of matrix route. That is, commercial district, which shows one side development pattern along the East-West direction route, is developed on both sides of street along the South-North direction route.

• Spatial Information Research
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• 제8권2호
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• pp.213-232
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• 2000

범죄발생 자료는 본질적으로 지리적인 속성을 내포하고 있기 때문에 범죄분석에 있어서 공간적 패턴을 파악하는 것은 매우 중요하다. 본 연구에서는 GIS의 지도화 기능과 공간통계 기법을 접목하여 범죄발생의 공간적 양상을 규명할 수 있는 ¨범죄분석 지리정보시스템¨의 원형(prototype)을 제작하였다. 이 시스템은 DBMS와 GIS를 연동하는 구조로서 점 자료(point data)의 공간분포 탐색, 범죄다발지역(hot-spot)의 지도화, 범죄발생의 군집성 분석 그리고 면(area)단위 집계자료 분석 등의 기능들로 구성된다. 시스템의 설계와 구현 과정은 객체지향 방법론에 의거하였으며, 본 시스템 이외에도 현재 개발 중에 있는 웹 기반 3-Tier 구조의 시스템은 범죄분석과 인터넷 지리정보시스템에 있어서 중요한 역할을 담당할 것으로 전망된다.