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Organization profile

Organization profile

Research Interests

Fingerprint Dive into the research topics where SSRI/PRI Computational and Spatial Analysis Core is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

amenity Earth & Environmental Sciences
population growth Social Sciences
regression Social Sciences
land use Social Sciences
migration Social Sciences
projection Social Sciences
accessibility Earth & Environmental Sciences
spatiotemporal analysis Earth & Environmental Sciences

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Profiles

No photo of Guangqing Chi

Guangqing Chi, PhD

Person: Academic

20012021

Research Output 2005 2019

  • 515 Citations
  • 14 h-Index
  • 44 Article
  • 3 Review article
  • 1 Chapter
  • 1 Conference contribution

Abandoned rural residential land: Using machine learning techniques to identify rural residential land vulnerable to be abandoned in mountainous areas

Xu, F., Ho, H. C., Chi, G. & Wang, Z., Feb 1 2019, In : Habitat International. 84, p. 43-56 14 p.

Research output: Contribution to journalArticle

learning
land use
rural area
machine learning
land

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 1 2019, In : Computers and Geosciences. 127, p. 111-122 12 p.

Research output: Contribution to journalArticle

Classifiers
Image classification
image classification
Remote sensing
remote sensing

Error Measures for Trajectory Estimations with Geo-Tagged Mobility Sample Data

Parsafard, M., Chi, G., Qu, X., Li, X. & Wang, H., Jul 1 2019, In : IEEE Transactions on Intelligent Transportation Systems. 20, 7, p. 2566-2583 18 p., 8541110.

Research output: Contribution to journalArticle

Trajectories
Error analysis
Table lookup
Interpolation
Bandwidth

Future interstate highway system demands: Predictions based on population projections

Chi, G., Wang, D. & Hagedorn, A. D. J., Jun 1 2019, In : Case Studies on Transport Policy. 7, 2, p. 384-394 11 p.

Research output: Contribution to journalArticle

Highway systems
projection
road
prediction
population growth
1 Citation (Scopus)

Lost in the Black Belt South: health outcomes and transportation infrastructure

Chi, G., Shapley, D., Yang, T. C. & Wang, D., Jun 1 2019, In : Environmental Monitoring and Assessment. 191, 297.

Research output: Contribution to journalArticle

Open Access
transportation infrastructure
Health
airport
unemployment
Airports

The impact of spatial spillovers on interprovincial migration in China, 2005–10

Pu, Y., Han, X., Chi, G., Wang, Y., Ge, Y. & Kong, F., Aug 3 2019, In : Regional Studies. 53, 8, p. 1125-1136 12 p.

Research output: Contribution to journalArticle

migration
China
system change
population size
inflow
2 Citations (Scopus)

The spatial association of ecosystem services with land use and land cover change at the county level in China, 1995–2015

Chen, W., Chi, G. & Li, J., Jun 15 2019, In : Science of the Total Environment. 669, p. 459-470 12 p.

Research output: Contribution to journalArticle

Land use
ecosystem service
Ecosystems
land cover
land use

Do Airports Boost Economic Development by Attracting Talent? An Empirical Investigation at the Subcounty Level

Chen, X., Chi, G. & Chi, G., Mar 1 2018, In : Social Science Quarterly. 99, 1, p. 313-329 17 p.

Research output: Contribution to journalArticle

airport
economics
inferential statistics
descriptive statistics
structural model

Evaluating the representativeness in the geographic distribution of twitter user population

Yin, J., Chi, G. & Van Hook, J. L., Nov 6 2018, Proceedings of the 12th Workshop on Geographic Information Retrieval, GIR 2018. Jones, C. B. & Purves, R. S. (eds.). Association for Computing Machinery, Inc, 6. (Proceedings of the 12th Workshop on Geographic Information Retrieval, GIR 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

twitter
population characteristics
social problem
Social Problems
distribution
6 Citations (Scopus)

Identifying the critical riparian buffer zone with the strongest linkage between landscape characteristics and surface water quality

Li, K., Chi, G., Wang, L., Xie, Y., Wang, X. & Fan, Z., Oct 1 2018, In : Ecological Indicators. 93, p. 741-752 12 p.

Research output: Contribution to journalArticle

riparian buffers
riparian zone
buffer zone
surface water
water quality