Geolocating tweets via spatial inspection of information inferred from tweet meta-fields-Reference-Cited by-同舟云学术

Geolocating tweets via spatial inspection of information inferred from tweet meta-fields

Published:2021-12 Issue: Volume:105 Page:102593
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Zohar Motti

Funder

Ministry of Defense

University of Haifa

Geological Survey and Mineral Exploration of Iran

Ministry of Science and Technology, Israel

Hebrew University of Jerusalem

Technion-Israel Institute of Technology

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference67 articles.

1. A survey of location inference techniques on Twitter;Ajao;J. Inf. Sci.,2015

2. Locating past places in Britain: creating and evaluating the GB1900 Gazetteer;Aucott;Int. J. Humanit. Arts Comput.,2019

3. Spatial and temporal patterns of anthrax in white-tailed deer Odocoileus virginianus and hematophagous flies in west Texas during the summertime anthrax risk period;Blackburn;Ann. Am. Assoc. Geogr.,2014

4. Bond, F., Bond, A., 2019. Geonames wordnet (gnwn): extracting wordnets from geonames. In: Proceedings of the 10th Global Wordnet Conference Wroclaw Poland, pp. 387–393.

5. Are papers addressing certain diseases perceived where these diseases are prevalent? The proposal to use Twitter data as social-spatial sensors;Bornmann;Plos one,2020

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigating disaster response for resilient communities through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season;Sustainable Cities and Society;2024-07

2. A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment;Geospatial Health;2024-03-28

3. Content-location relationships: a framework to explore correlations between space-based and place-based user-generated content;International Journal of Geographical Information Science;2023-06-27

4. An analysis on the spatiotemporal behavior of inbound tourists in Jiaodong Peninsula based on Flickr geotagged photos;International Journal of Applied Earth Observation and Geoinformation;2023-06

5. Advances in geocomputation and geospatial artificial intelligence (GeoAI) for mapping;International Journal of Applied Earth Observation and Geoinformation;2023-06