Armita Kar

117 posts

Armita Kar

Armita Kar

@ArmitaKar

Assistant Professor, Department of Geography and Geoinformation Science, George Mason University

Katılım Ağustos 2019
254 Takip Edilen256 Takipçiler
Armita Kar retweetledi
Mei-Po Kwan
Mei-Po Kwan@meipokwan·
Using structural equation modeling and mediation analyses, our new open-access paper found that greenspace has the most substantial total effect on mental health, followed by air pollution and noise pollution. @theAAG @AmericanGeo
Zhenchuan Yang@zcy_1229

We are excited to share our new study @meipokwan , which discusses how objective and subjective greenspace, combined with air and noise pollution, impacts mental health through the mediation of physical activity. doi.org/10.1016/j.ufug…

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Armita Kar
Armita Kar@ArmitaKar·
Happy to announce that I started a new position as an Assistant Professor in the Department of Geography and Geoinformation Science at @GeorgeMasonU! I'm very excited about the new chapter of my life and look forward to working with this amazing academic community!
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Ate Poorthuis
Ate Poorthuis@atepoorthuis·
Ever wanted to research mobility patterns but no idea where to start looking for data? @qingqingchen77, @mattzook and I are releasing a dataset originally based on geotagged social media posts by 2 mln users across the US, containing 1.2 bln data points sent between 2012-2019.
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Aaron Flores
Aaron Flores@aaronbflores·
New paper with @Dapper_Mapper, Yilei Yu, and @hk_friedrich! Our review highlights disparities in health outcomes following flood events in the US, but also provides methodological critiques to emphasize the need for precise flood exposure metrics and community engagement.
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Phoenix, AZ 🇺🇸 English
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Yuchen Li
Yuchen Li@Yuchenn_·
Thrilled to share our latest publication in @ijgis! 🎉 Our review dives into how street view imagery and cutting-edge visual intelligence techniques are reshaping built environment auditing. Check out our full article for more: doi.org/10.1080/136588…
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Armita Kar
Armita Kar@ArmitaKar·
Excited to share our recent paper on high-resolution PM2.5 prediction modeling from low-cost sensor data. By comparing the model results of multiple cities, we identify space-time kriging models perform better for PM2.5 predictions than machine learning approaches.
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Urban Analytics Lab
Urban Analytics Lab@urbanalyticslab·
JAG publishes a massive review on GeoAI in quantitative human geography. In this paper, 8 of our lab members have been involved in. Starting from a corpus of 14,537 papers, 1516 of them were reviewed to outline the applications of GeoAI in this domain. 🔗 doi.org/10.1016/j.jag.…
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Keşfet

@theAAG @AmericanGeo @Baninisohonbil @GeorgeMasonU @anaslaaa @sabeerawa05 @DongLiu_ @ckuejio