Utilizing Geo-located Sensors and Social Media for Studying Population Dynamics and Land Classification
| Autor: | Marie L. Urban, Kevin Sparks, Eric M. Weber, Robert N. Stewart, Budhendra L. Bhaduri, Gautam S. Thakur, Kelly M. Sims, Huina Mao, Jesse Piburn |
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| Rok vydání: | 2018 |
| Předmět: |
Volunteered geographic information
050210 logistics & transportation education.field_of_study Computer science business.industry 05 social sciences Big data Population 0507 social and economic geography User-generated content Data science Mobile phone 0502 economics and business Human dynamics Information system Social media business education 050703 geography |
| Zdroj: | Human Dynamics Research in Smart and Connected Communities ISBN: 9783319732466 |
| DOI: | 10.1007/978-3-319-73247-3_2 |
| Popis: | The ability to understand where, when, and why humans move across space and time has always been essential to research areas such as urban planning, transportation, population dynamics, and emergency preparedness and response. The increasing sources of activity data is generating novel opportunities to understand human dynamics that previously was not possible; Geo-located user generated content from mobile devices and sensors allow a level of spatial and temporal granularity that could possibly answer the reasons for human movement at a high-resolution. This work discusses a broad array of research agenda in human dynamics and land use by proposing an explicit model that assists in delineating and articulating the opportunities, challenges, and limitations of using new forms of unauthoritated data, such as social media in main-stream GIS research. We study mobile phone call volume and GPS locations to characterize human activity patterns and provide inference on land use. Later, we demonstrate the ability of geo-located social media posts to provide insight on population density estimates for special events and Points of Interest detection. The chapter underpins the need to utilize new forms of data collection mechanism as well as their use to augment our understanding of human dynamics research and future application of geographical information systems. |
| Databáze: | OpenAIRE |
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