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Developing Data-Driven Methods for Movement Pattern Analysis Using Geographic Context.
Developing Data-Driven Methods for Movement Pattern Analysis Using Geographic Context.
- 자료유형
- 학위논문
- Control Number
- 0016052604
- International Standard Book Number
- 9798535541983
- Dewey Decimal Classification Number
- 004
- Main Entry-Personal Name
- Roy, Avipsa.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Arizona State University., 2021
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Physical Description
- 157 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
- General Note
- Advisor: Nelson, Trisalyn.
- Dissertation Note
- Thesis (Ph.D.)--Arizona State University, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Computer science.
- Subject Added Entry-Topical Term
- Geographic information science.
- Subject Added Entry-Topical Term
- Urban planning.
- Subject Added Entry-Topical Term
- Transportation.
- Subject Added Entry-Topical Term
- Global positioning systems--GPS.
- Subject Added Entry-Topical Term
- Decision making.
- Subject Added Entry-Topical Term
- Crowdsourcing.
- Subject Added Entry-Topical Term
- Bicycling.
- Index Term-Uncontrolled
- Active transportation
- Index Term-Uncontrolled
- Context aware
- Index Term-Uncontrolled
- Machine learning
- Index Term-Uncontrolled
- Movement analytics
- Index Term-Uncontrolled
- Spatial analysis
- Index Term-Uncontrolled
- Urban planning
- Added Entry-Corporate Name
- Arizona State University Geography
- Host Item Entry
- Dissertations Abstracts International. 83-03B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:612340
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