Titlebook: CyberGIS for Geospatial Discovery and Innovation; Shaowen Wang,Michael F. Goodchild Book 2019 Springer Nature B.V. 2019 CyberGIS.Big data.

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Ignacio Guillén-Galve,Miguel A. Vela-Tafallastimate atmospheric pollution for different scenarios. The combination of these two simulation models allows for detailed investigations of different situations such as the investigation of pollution impacts of different traffic infrastructure variants, as well as for prediction of expected pollutio

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Colina Mason,Felicity Rawlings-SanaeiTwitter. SWARMS utilizes computer programming and Twitter Search APIs to retrieve tweets by searching keywords from the Twitter database. Two case studies were conducted to analyze the spatial information landscape: the 2012 U.S. Presidential Election and 2012 summer movies. The two case studies wer

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https://doi.org/10.1007/978-981-4451-88-8ble over the Internet tobe integrated by multiple geographic information science (GIScience) applications that were not possible in the past. The conventional tightly coupled development approach is not suitable to integrate such widely distributed and dynamic data sources. The strictly standards-co

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https://doi.org/10.1007/978-3-031-26665-2egular and data intensive nature of the underlying computation has impeded the research in this space. We have created an open-architecture-based system named Crayons for Azure cloud platform using state-of-the-art techniques. The design and development of Crayons system is an engineering feat both

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Laura Quaynor,Agata Szczeszak-Brewer devices, vehicle engine measurements, global climate models simulation data, volunteered geographic information (VGI), geo-social media, and tweets. The value of these datasets is already evident through many societal applications including disaster management and disease outbreak prediction. Howev

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