Skip to main content

Wei Kang

Title: Assistant Professor

Department: Geography and the Environment

College: College of Liberal Arts and Social Sciences

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Arizona State University, 2018
    Major: Geography
    Dissertation: Issues in the Distribution Dynamics Approach to the Analysis of Regional Economic Growth and Convergence: Spatial Effects and Small Samples

Current Scheduled Teaching

No current or future courses scheduled.

Previous Scheduled Teaching

GEOG 5550.001Advanced Geographic Information SystemSpring 2024 SPOT
GEOG 4900.703Special ProblemsSpring 2024
GEOG 5560.002Application Development with Python ProgrammingFall 2023 SPOT
GEOG 4900.004Special ProblemsFall 2023
GEOG 5550.001Advanced Geographic Information SystemSpring 2023 SPOT
GEOG 4560.001Introduction to Python ProgrammingSpring 2023 Syllabus SPOT
GEOG 4900.703Special ProblemsSpring 2023
GEOG 5560.002Application Development with Python ProgrammingFall 2022 Syllabus SPOT

Published Intellectual Contributions

    Book Chapter

  • Kang, W. (2022). Spatial dynamics. Handbook of Spatial Analysis in the Social Sciences. 277-290. Edward Elgar Publishing. https://www.elgaronline.com/view/book/9781789903942/book-part-9781789903942-24.xml
  • Kang, W., Wilson, J.P. (2020). PySAL and Spatial Statistics Libraries. The Geographic Information Science & Technology Body of Knowledge. (3rd Quarter 2020) UCGIS. https://doi.org/10.22224/gistbok/2020.3.1
  • Conference Proceeding

  • Rey, S., Knaap, E., Han, S., Wolf, L., Kang, W., Akici, F., Lippa, D., Niederhut, D., Pacer, M. (2018). Spatio-temporal analysis of socioeconomic neighborhoods: The Open Source Longitudinal Neighborhood Analysis Package OSLNAP. Proceedings of the 17th Python in Science Conference. 121 - 128.
  • Journal Article

  • Chen, Y., Van Deventer, D., Nianogo, R., Vinceti, M., Kang, W., Cockburn, M., Federman, N., Heck, J.E. (2024). Maternal Exposure to Heavy Metals From Industrial Sources During Pregnancy and Childhood Cancer Risk in California.. Journal of Occupational and Environmental Medicine. 66 (9) 714-721.
  • Chen, Y., Van Deventer, D., Nianogo, R., Vinceti, M., Kang, W., Cockburn, M., Federman, N., Heck, J.E. (2024). Maternal residential exposure to solvents from industrial sources during pregnancy and childhood cancer risk in California.. International Journal of Hygiene and Environmental Health. 259 114388.
  • Oselin, S., Ross, J., AU - Wang, Qingfang, Q., Kang, W. (2023). Fair Chance Act failures? Employers’ hiring of people with criminal records. Criminology & Public Policy. https://onlinelibrary.wiley.com/doi/full/10.1111/1745-9133.12655
  • Hatch, E., Wang, C., Kang, W., Karna, B., Sabinsky, N., Ferguson, K. (2023). Geographies of Opportunity for Youth Across the Contiguous United States. The Professional Geographer. https://www.tandfonline.com/doi/full/10.1080/00330124.2023.2261516
  • Wang, Q., Kang, W. (2023). Small businesses and government assistance during COVID-19: Evidence from the paycheck protection program in the U.S.. Environment and Planning A. https://journals.sagepub.com/doi/10.1177/0308518X231166407
  • Luo, W., Zhou, Y., Liu, Z., Kang, W., He, S., Zhu, R., Li, R., Huang, B. (2023). Cross-regional analysis of the association between human mobility and COVID-19 infection in Southeast Asia during the transitional period of “living with COVID-19”. Health & Place. https://www.sciencedirect.com/science/article/abs/pii/S1353829223000370
  • Kang, W., Wang, Q. (2022). The Impact of COVID-19 on Small Businesses in the US: A Longitudinal Study from a Regional Perspective. International Regional Science Review. https://journals.sagepub.com/doi/10.1177/01600176221132230
  • Kang, W., Knaap, E., Rey, S. (2021). Changes in the economic status of neighbourhoods in US metropolitan areas from 1980 to 2010: Stability, growth and polarisation. Urban Studies. 00420980211042549. https://doi.org/10.1177/00420980211042549
  • Rey, S.J., Anselin, L., Amaral, P., Arribas-Bel, D., Cortes, R.X., Gaboardi, J.D., Kang, W., Knaap, E., Li, Z., Lumnitz, S., Oshan, T.M., Shao, H., Wolf, L.J. (2021). The PySAL Ecosystem: Philosophy and Implementation. Geographical Analysis. https://onlinelibrary.wiley.com/doi/abs/10.1111/gean.12276
  • Wang, Q., Kang, W. (2021). What Are the Impacts of COVID-19 on Small Businesses in the U.S.? Early Evidence based on the Largest 50 MSAs. Geographical Review. Routledge. https://doi.org/10.1080/00167428.2021.1927731
  • Lumnitz, S., Arribas-Bell, D., Cortes, R., Gaboardi, J., Griess, V., Kang, W., Oshan, T., Wolf, L., Rey, S. (2020). `splot` - visual analytics for spatial statistics. Journal of Open Source Software. 5 (47) 1882. The Open Journal. https://doi.org/10.21105/joss.01882
  • Rey, S., Han, S.Y., Kang, W., Knaap, E., Cortes, R.X. (2020). A Visual Analytics System for Space--Time Dynamics of Regional Income Distributions Utilizing Animated Flow Maps and Rank-based Markov Chains. Geographical Analysis. https://onlinelibrary.wiley.com/doi/abs/10.1111/gean.12239
  • Kang, W., Rey, S.J. (2020). Inference for Income Mobility Measures in the Presence of Spatial Dependence. International Regional Science Review. 43 (1-2) 10-39. https://doi.org/10.1177/0160017619826291
  • Alyousifi, Y., Ibrahim, K., Kang, W., Zin, W.Z. (2020). Modeling the spatio-temporal dynamics of air pollution index based on spatial Markov chain model. Environmental Monitoring and Assessment. 192 (11) 1--24. Springer.
  • Kang, W., Rey, S., Wolf, L., Knaap, E., Han, S. (2020). Sensitivity of sequence methods in the study of neighborhood change in the United States. Computers, Environment and Urban Systems. 81 101480.
  • Shao, H., Li, W., Kang, W., Rey, S.J. (2020). When Spatial Analytics Meets Cyberinfrastructure: an Interoperable and Replicable Platform for Online Spatial-Statistical-Visual Analytics. Journal of Geovisualization and Spatial Analysis. 4 (2) 1--16. Springer.
  • Wei, R., Grubesic, T.H., Kang, W. (2020). Spatiotemporal patterns of alcohol outlets and violence: A spatially heterogeneous Markov chain analysis. Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/2399808320965569
  • Han, S.Y., Rey, S., Knaap, E., Kang, W., Wolf, L. (2019). Adaptive Choropleth Mapper: An Open-Source Web-Based Tool for Synchronous Exploration of Multiple Variables at Multiple Spatial Extents. ISPRS International Journal of Geo-Information. 8 (11) https://www.mdpi.com/2220-9964/8/11/509
  • Yu, H., Fotheringham, A.S., Li, Z., Oshan, T., Kang, W., Wolf, L.J. (2019). Inference in Multiscale Geographically Weighted Regression. Geographical Analysis. 52 (1) 87-106. https://onlinelibrary.wiley.com/doi/abs/10.1111/gean.12189
  • Rey, S.J., Kang, W., Wolf, L.J. (2019). Regional inequality dynamics, stochastic dominance, and spatial dependence. Papers in Regional Science. 98 (2) 861-881. https://rsaiconnect.onlinelibrary.wiley.com/doi/abs/10.1111/pirs.12393
  • Alyousifi, Y., Ibrahim, K., Kang, W., Zin, W.Z. (2019). Markov chain modeling for air pollution index based on maximum a posteriori method. Air Quality, Atmosphere & Health. https://doi.org/10.1007/s11869-019-00764-y
  • Organizers, Kang, W., Oshan, T., Wolf, L.J., Discussants, Boeing, G., Frias-Martinez, V., Gao, S., Poorthuis, A., Xu, W. (2019). A roundtable discussion: Defining urban data science. Environment and Planning B: Urban Analytics and City Science. 46 (9) 1756-1768. https://doi.org/10.1177/2399808319882826
  • Kang, W., Rey, S.J. (2019). Smoothed Estimators for Markov Chains with Sparse Spatial Observations. Geographical Analysis. 1-22. https://onlinelibrary.wiley.com/doi/abs/10.1111/gean.12222
  • Oshan, T.M., Li, Z., Kang, W., Wolf, L.J., Fotheringham, A.S. (2019). MGWR: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale. ISPRS International Journal of Geo-Information. 8 (6) https://www.mdpi.com/2220-9964/8/6/269
  • Oshan, T., Wolf, L.J., Fotheringham, A.S., Kang, W., Li, Z., Yu, H. (2019). A comment on geographically weighted regression with parameter-specific distance metrics. International Journal of Geographical Information Science. 33 (7) 1289-1299. Taylor & Francis. https://doi.org/10.1080/13658816.2019.1572895
  • Kang, W., Rey, S.J. (2018). Conditional and joint tests for spatial effects in discrete Markov chain models of regional income distribution dynamics. The Annals of Regional Science. 61 (1) 73--93. https://doi.org/10.1007/s00168-017-0859-9
  • Fotheringham, A.S., Yang, W., Kang, W. (2017). Multiscale Geographically Weighted Regression (MGWR). Annals of the American Association of Geographers. 107 (6) 1247-1265. Taylor & Francis. http://dx.doi.org/10.1080/24694452.2017.1352480
  • Rey, S.J., Kang, W., Wolf, L. (2016). The properties of tests for spatial effects in discrete Markov chain models of regional income distribution dynamics. Journal of Geographical systems. 18 (4) 377--398. http://dx.doi.org/10.1007/s10109-016-0234-x

Contracts, Grants and Sponsored Research

    Grant - Research

  • Wang, Q. (Principal), Kang, W. (Co-Principal), "Forced Displacement and Community Resilience: Housing Insecurity under COVID-19 in Inland Southern California," sponsored by National Science Foundation, Federal, $336050 Funded. (2022 - 2025).
  • Wang, Q. (Principal), Link, B. (Co-Principal), Kang, W. (Co-Principal), "Identifying the Effect of Housing policy on Mental Health Outcomes Among Low-Income Renters and their Children During the COVID-19 Pandemic," sponsored by California Department of Public Health, State, $200000 Funded. (2023 - 2024).
  • Kang, W. (Principal), Balachandran, S. (Co-Principal), "Fair Housing Reforms in Low Income Housing Tax Credits: An investigation of implications for neighborhoods and communities in the DFW region," sponsored by University of North Texas Division of Research and Innovation, University of North Texas, $10000 Funded. (2023 - 2024).
,
Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
CLOSE