원문정보
Multidimensional Model for Spatiotemporal Data Analysis and Its Visual Representation
초록
영어
Spatiotemporal data are records of the spatial changes of moving objects over time. Most data in corporate databases have a spatiotemporal nature, but they are typically treated as merely descriptive semantic data without considering their potential visual (or cartographic) representation. Businesses such as geographical CRM, location-based services, and technologies like GPS and RFID depend on the storage and analysis of spatiotemporal data. Effectively handling the data analysis process may be accomplished through spatiotemporal data warehouse and spatial OLAP. This paper proposes a multidimensional model for spatiotemporal data analysis, and cartographically represents the results of the analysis.
목차
1. 서론
2. SOLAP
2.1 SOLAP의 배경과 정의
2.2 공간차원
2.3 SOLAP의 특성
3. 시공간데이터분석을 위한 다차원모델
3.1 지하철 패스카드 데이터
3.2 차원과 측정지표의 설정
3.3 시각적 표현
3.4 시각적 분석결과의 평가
4. 결론
참고문헌