My research interests center on computational geography for understanding the geospatial complexity in spatial human-urban environment interactions. I focus on geospatial Big Data analytics for studying urban dynamics concerning urban mobility, accessibility, and sustainability. I am keen to incorporate state-of-the-art methodologies into my research, such as advanced data mining and machine learning, geovisual-analytics, and high-performance computing to delineate the spatiotemporal geography with spatial Big Data.
As a GIScientist, I am interested in understanding different interplay between human activities and the geospatial settings of urban environment. I look into human mobility patterns and its applications for understanding dynamic urban structures, with research questions addressing whether urban mobility is shaped by the underlying urban structure or the real-world human interactions actually delineate the image of a city.
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Projects
Recent Publications
Climate impacts on migration in the Arctic North America: existing evidence and research recommendations
Chi, G., Zhou, S., Mucioki, M., Miller, J., Korkut, E., Howe, L., Yin, J., Holen, D., Randell, H., Akyildiz, A., Halvorsen, K. E., Fowler, L., Ford, J. & Tickamyer, A., Jun 2024, In: Regional Environmental Change. 24, 2, 47.Research output: Contribution to journal › Review article › peer-review
Park access affects physical activity: new evidence from geolocated Twitter data analysis
Li, C., Zhao, J., Yin, J. & Chi, G., 2023, In: Journal of Urban Design. 28, 3, p. 316-335 20 p.Research output: Contribution to journal › Article › peer-review
Using social media user profiles to identify visitor demographics and origins in Yellowstone national park
Liang, Y., Yin, J., Park, S., Pan, B., Chi, G. & Miller, Z., Dec 2023, In: Journal of Outdoor Recreation and Tourism. 44, 100620.Research output: Contribution to journal › Article › peer-review
Developing high-resolution PM2.5 exposure models by integrating low-cost sensors, automated machine learning, and big human mobility data
Yu, M., Zhang, S., Zhang, K., Yin, J., Varela, M. & Miao, J., 2023, In: Frontiers in Environmental Science. 11, 1223160.Research output: Contribution to journal › Article › peer-review
COVID-19’s impact on visitation behavior to US national parks from communities of color: evidence from mobile phone data
Alba, C., Pan, B., Yin, J., Rice, W. L., Mitra, P., Lin, M. S. & Liang, Y., Dec 2022, In: Scientific reports. 12, 1, 13398.Research output: Contribution to journal › Article › peer-review
Assessing the validity of mobile device data for estimating visitor demographics and visitation patterns in Yellowstone National Park
Liang, Y., Yin, J., Pan, B., Lin, M. S., Miller, L., Taff, B. D. & Chi, G., Sep 1 2022, In: Journal of Environmental Management. 317, 115410.Research output: Contribution to journal › Article › peer-review
An evaluation of geo-located Twitter data for measuring human migration
Yin, J., Gao, Y. & Chi, G., 2022, In: International Journal of Geographical Information Science. 36, 9, p. 1830-1852 23 p.Research output: Contribution to journal › Article › peer-review
Characterizing People’s Daily Activity Patterns in the Urban Environment: A Mobility Network Approach with Geographic Context-Aware Twitter Data
Yin, J. & Chi, G., 2021, In: Annals of the American Association of Geographers. 111, 7, p. 1967-1987 21 p.Research output: Contribution to journal › Article › peer-review
Energy choices in Alaska: Mining people's perception and attitudes from geotagged tweets
Abdar, M., Basiri, M. E., Yin, J., Habibnezhad, M., Chi, G., Nemati, S. & Asadi, S., May 2020, In: Renewable and Sustainable Energy Reviews. 124, 109781.Research output: Contribution to journal › Article › peer-review
Characterizing People's Daily Activity Patterns in the Urban Environment: A Mobility Network Approach with Geographic Context-Aware Twitter Data
Yin, J. & Chi, G., Dec 1 2020, In: Annals of the American Association of Geographers.Research output: Contribution to journal › Article › peer-review
Design and implementation of a parallel geographically weighted k-nearest neighbor classifier
Pu, Y., Zhao, X., Chi, G., Zhao, S., Wang, J., Jin, Z. & Yin, J., Jun 2019, In: Computers and Geosciences. 127, p. 111-122 12 p.Research output: Contribution to journal › Article › peer-review
Mapping spatiotemporal patterns of events using social media: a case study of influenza trends
Gao, Y., Wang, S., Padmanabhan, A., Yin, J. & Cao, G., Mar 4 2018, In: International Journal of Geographical Information Science. 32, 3, p. 425-449 25 p.Research output: Contribution to journal › Article › peer-review
Social sensing of urban land use based on analysis of Twitter users’ mobility patterns
Soliman, A., Soltani, K., Yin, J., Padmanabhan, A. & Wang, S., Jul 2017, In: PloS one. 12, 7, e0181657.Research output: Contribution to journal › Article › peer-review
Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data
Yin, J., Soliman, A., Yin, D. & Wang, S., Jul 3 2017, In: International Journal of Geographical Information Science. 31, 7, p. 1293-1313 21 p.Research output: Contribution to journal › Article › peer-review
Spatial Distribution of City Tweets and Their Densities
Jiang, B., Ma, D., Yin, J. & Sandberg, M., Jul 1 2016, In: Geographical Analysis. 48, 3, p. 337-351 15 p.Research output: Contribution to journal › Article › peer-review