상세정보
Export to Refworks부가기능
Context-Preserving Visual Analytics of Multi-Scale Spatial Aggregation
상세 프로파일
| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Context-Preserving Visual Analytics of Multi-Scale Spatial Aggregation. |
| 개인저자 | Zhang, Jiawei. |
| 단체저자명 | Purdue University. Electrical and Computer Engineering. |
| 발행사항 | [S.l.]: Purdue University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 123 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
| ISBN | 9780438018587 |
| 학위논문주기 | Thesis (Ph.D.)--Purdue University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: David S. Ebert. |
| 요약 | Spatial datasets (i.e., location-based social media, crime incident reports, and demographic data) often exhibit varied distribution patterns at multiple spatial scales. Examining these patterns across different scales enhances the understanding |
| 일반주제명 | Computer engineering. Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
