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Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
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- COVID-19 (2)
- Coronavirus (2)
- Pandemic (2)
- Social media data (2)
- Big Data (1)
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- Big data (1)
- Big data research (1)
- Bioclimatology (1)
- Climate change (1)
- Cloud computing (1)
- Computational Biology (1)
- Crisis (1)
- Data acquisition (1)
- Datafication (1)
- Digital trace data (1)
- Discourses (1)
- Ethics (1)
- Financial Management (1)
- Forecast verification/skill (1)
- Forecasting (1)
- Forecasting techniques (1)
- Geographic adaptation (1)
- Geolocated tweets (1)
- Geolocational data (1)
- Global human mobility (1)
- Guidelines as Topic (1)
- International migration (1)
- Lived realities (1)
- Migrant populations (1)
- Migration (1)
Articles 1 - 7 of 7
Full-Text Articles in Social and Behavioral Sciences
Challenges When Identifying Migration From Geo-Located Twitter Data, Caitrin Armstrong, Ate Poorthuis, Matthew Zook, Derek Ruths, Thomas Soehl
Challenges When Identifying Migration From Geo-Located Twitter Data, Caitrin Armstrong, Ate Poorthuis, Matthew Zook, Derek Ruths, Thomas Soehl
Geography Faculty Publications
Given the challenges in collecting up-to-date, comparable data on migrant populations the potential of digital trace data to study migration and migrants has sparked considerable interest among researchers and policy makers. In this paper we assess the reliability of one such data source that is heavily used within the research community: geolocated tweets. We assess strategies used in previous work to identify migrants based on their geolocation histories. We apply these approaches to infer the travel history of a set of Twitter users who regularly posted geolocated tweets between July 2012 and June 2015. In a second step we hand-code …
Viral Data, Agnieszka Leszczynski, Matthew Zook
Viral Data, Agnieszka Leszczynski, Matthew Zook
Geography Faculty Publications
We are experiencing a historical moment characterized by unprecedented conditions of virality: a viral pandemic, the viral diffusion of misinformation and conspiracy theories, the viral momentum of ongoing Hong Kong protests, and the viral spread of #BlackLivesMatter demonstrations and related efforts to defund policing. These co-articulations of crises, traumas, and virality both implicate and are implicated by big data practices occurring in a present that is pervasively mediated by data materialities, deeply rooted dataist ideologies that entrench processes of datafication as granting objective access to truth and attendant practices of tracking, data analytics, algorithmic prediction, and data-driven targeting of individuals …
Covid-19 Is Spatial: Ensuring That Mobile Big Data Is Used For Social Good, Age Poom, Olle Järv, Matthew Zook, Tuuli Toivonen
Covid-19 Is Spatial: Ensuring That Mobile Big Data Is Used For Social Good, Age Poom, Olle Järv, Matthew Zook, Tuuli Toivonen
Geography Faculty Publications
The mobility restrictions related to COVID-19 pandemic have resulted in the biggest disruption to individual mobilities in modern times. The crisis is clearly spatial in nature, and examining the geographical aspect is important in understanding the broad implications of the pandemic. The avalanche of mobile Big Data makes it possible to study the spatial effects of the crisis with spatiotemporal detail at the national and global scales. However, the current crisis also highlights serious limitations in the readiness to take the advantage of mobile Big Data for social good, both within and beyond the interests of health sector. We propose …
Nonmeteorological Influences On Severe Thunderstorm Warning Issuance: A Geographically Weighted Regression-Based Analysis Of County Warning Area Boundaries, Land Cover, And Demographic Variables, Megan L. White, J. Anthony Stallins
Nonmeteorological Influences On Severe Thunderstorm Warning Issuance: A Geographically Weighted Regression-Based Analysis Of County Warning Area Boundaries, Land Cover, And Demographic Variables, Megan L. White, J. Anthony Stallins
Geography Faculty Publications
Studies have shown that the spatial distribution of severe thunderstorm warnings demonstrates variation beyond what can be attributed to weather and climate alone. Investigating spatial patterns of these variations can provide insight into nonmeteorological factors that might lead forecasters to issue warnings. Geographically weighted regression was performed on a set of demographic and land cover descriptors to ascertain their relationships with National Weather Service (NWS) severe thunderstorm warning polygons issued by 36 NWS forecast offices in the central and southeastern United States from 2008 to 2015. County warning area (CWA) boundaries and cities were predominant sources of variability in warning …
Ten Simple Rules For Responsible Big Data Research, Matthew Zook, Solon Barocas, Danah Boyd, Kate Crawford, Emily Keller, Seeta Peña Gangadharan, Alyssa Goodman, Rachelle Hollander, Barbara A. Koenig, Jacob Metcalf, Arvind Narayanan, Alondra Nelson, Frank Pasquale
Ten Simple Rules For Responsible Big Data Research, Matthew Zook, Solon Barocas, Danah Boyd, Kate Crawford, Emily Keller, Seeta Peña Gangadharan, Alyssa Goodman, Rachelle Hollander, Barbara A. Koenig, Jacob Metcalf, Arvind Narayanan, Alondra Nelson, Frank Pasquale
Geography Faculty Publications
No abstract provided.
Mapping Temperate Vegetation Climate Adaptation Variability Using Normalized Land Surface Phenology, Liang Liang, Mark D. Schwartz, Xiaoyang Zhang
Mapping Temperate Vegetation Climate Adaptation Variability Using Normalized Land Surface Phenology, Liang Liang, Mark D. Schwartz, Xiaoyang Zhang
Geography Faculty Publications
Climate influences geographic differences of vegetation phenology through both contemporary and historical variability. The latter effect is embodied in vegetation heterogeneity underlain by spatially varied genotype and species compositions tied to climatic adaptation. Such long-term climatic effects are difficult to map and therefore often neglected in evaluating spatially explicit phenological responses to climate change. In this study we demonstrate a way to indirectly infer the portion of land surface phenology variation that is potentially contributed by underlying genotypic differences across space. The method undertaken normalized remotely sensed vegetation start-of-season (or greenup onset) with a cloned plants-based phenological model. As the …
Is Security Sustainable?, Jeremy W. Crampton
Is Security Sustainable?, Jeremy W. Crampton
Geography Faculty Publications
No abstract provided.