Fine-grained spatiotemporal estimation of tourism flows leveraging cross-video collaborative perception-Reference-Cited by-同舟云学术

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Fine-grained spatiotemporal estimation of tourism flows leveraging cross-video collaborative perception

Published:2024-04-18 Issue:6 Volume:38 Page:1179-1205
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Liu Shaojun¹²³⁴^ORCID,Zhang Ling²³⁴^ORCID,Wu Chao¹,Ge Junlian²³⁴,Long Yi²³⁴

Affiliation:

1. School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, PR China

2. Ministry of Education, Key Lab of Virtual Geographic Environment (Nanjing Normal University), Nanjing, PR China

3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, PR China

4. State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing, PR China

Funder

National Natural Science Foundation of China.

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2024.2342320

Reference46 articles.

1. Seasonal tourism spaces in Estonia: Case study with mobile positioning data

2. Evaluating passive mobile positioning data for tourism surveys: An Estonian case study

3. Tourism product development and product diversification in destinations

4. Simple online and realtime tracking

5. Tourism Barometers: The Arizona Case

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