시공간 GIS자료의 3차원 유형화 연구

Eun-Kyeong Kim; Chul-Sue Hwang

시공간 GIS자료의 3차원 유형화 연구

Eun-Kyeong Kim
, Chul-Sue Hwang

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Conference contribution › Revue par des pairs

Résumé

This study aims to develop improved techniques for effectively typifying and geographically visualizing extensive spatio-temporal trajectory data. Spatio-temporal trajectories are influenced by environmental factors, and analyzing these trajectories can help in understanding the relationship between daily activities and the environment. However, there are limitations in data processing and visualization. By using a three-dimensional sequence object model based on geometric elements, clustering analysis was conducted with the DBSCAN algorithm, and the results were visualized using ArcGIS. Depending on the frequency of movements, the number of clusters identified in the research was 17, 6, 2, and 3, respectively. Representative objects were generated based on average geometric elements, allowing for effective visualization.

Titre traduit de la contribution	3D Sequential Object Clustering for Spatio-temporal Data Analysis
langue originale	Corée
titre	대한지리학회 학술대회논문집
Sous-titre	대한지리학회 2010년 연례학술대회 및 정기총회 발표논문 요약집
Editeur	The Korean Geographical Society
Pages	136-141
Nombre de pages	6
état	Publié - mai 2010
Modification externe	Oui

Accès au document

https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE01472260

Contient cette citation

@inproceedings{234f4fb8c699483c885d4a639ae08a4b,

title = "시공간 GIS자료의 3차원 유형화 연구",

abstract = "This study aims to develop improved techniques for effectively typifying and geographically visualizing extensive spatio-temporal trajectory data. Spatio-temporal trajectories are influenced by environmental factors, and analyzing these trajectories can help in understanding the relationship between daily activities and the environment. However, there are limitations in data processing and visualization. By using a three-dimensional sequence object model based on geometric elements, clustering analysis was conducted with the DBSCAN algorithm, and the results were visualized using ArcGIS. Depending on the frequency of movements, the number of clusters identified in the research was 17, 6, 2, and 3, respectively. Representative objects were generated based on average geometric elements, allowing for effective visualization.",

author = "Eun-Kyeong Kim and Chul-Sue Hwang",

year = "2010",

month = may,

language = "Cor{\'e}e",

pages = "136--141",

booktitle = "대한지리학회 학술대회논문집",

publisher = "The Korean Geographical Society",

address = "Cor{\'e}e du Nord",

}

시공간 GIS자료의 3차원 유형화 연구. / Kim, Eun-Kyeong; Hwang, Chul-Sue.
대한지리학회 학술대회논문집: 대한지리학회 2010년 연례학술대회 및 정기총회 발표논문 요약집. The Korean Geographical Society, 2010. p. 136-141.

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Conference contribution › Revue par des pairs

TY - GEN

T1 - 시공간 GIS자료의 3차원 유형화 연구

AU - Kim, Eun-Kyeong

AU - Hwang, Chul-Sue

PY - 2010/5

Y1 - 2010/5

N2 - This study aims to develop improved techniques for effectively typifying and geographically visualizing extensive spatio-temporal trajectory data. Spatio-temporal trajectories are influenced by environmental factors, and analyzing these trajectories can help in understanding the relationship between daily activities and the environment. However, there are limitations in data processing and visualization. By using a three-dimensional sequence object model based on geometric elements, clustering analysis was conducted with the DBSCAN algorithm, and the results were visualized using ArcGIS. Depending on the frequency of movements, the number of clusters identified in the research was 17, 6, 2, and 3, respectively. Representative objects were generated based on average geometric elements, allowing for effective visualization.

AB - This study aims to develop improved techniques for effectively typifying and geographically visualizing extensive spatio-temporal trajectory data. Spatio-temporal trajectories are influenced by environmental factors, and analyzing these trajectories can help in understanding the relationship between daily activities and the environment. However, there are limitations in data processing and visualization. By using a three-dimensional sequence object model based on geometric elements, clustering analysis was conducted with the DBSCAN algorithm, and the results were visualized using ArcGIS. Depending on the frequency of movements, the number of clusters identified in the research was 17, 6, 2, and 3, respectively. Representative objects were generated based on average geometric elements, allowing for effective visualization.

M3 - Conference contribution

SP - 136

EP - 141

BT - 대한지리학회 학술대회논문집

PB - The Korean Geographical Society

ER -