Data Quality Issues, and Statistical & Geo-visualization
[1] Fotheringham, A.S. and D. W. S. Wong, 1991. The modifiable areal unit problem in multivariate statistical analysis. Environment and Planning A 23:1025-1044.
[2] Wong, D. W. S. 2001. Interval and placement effects on topographic data: Using viewshed analysis as an example. Geographic Information Science 7(1): 53-65.
[3] Sun, M.* and D. W. S. Wong. 2010. Incorporating data quality information in mapping the American Community Survey data. Cartography and Geographic Information Science 37 (4): 285-300.
[4] Wieczorek, W. F., A. M. Delmerico*, P. A. Rogerson, and D. W. S. Wong. 2012. Clusters in irregular areas and lattices. Wiley Interdisciplinary Reivews (WIREs): Computational Statistics 4(1): 67-74.
[5] Sun, M.*, B. J. Kronenfeld, and D. W. Wong. 2013. Cartographic techniques for Communicating class separability: Alternative choropleth maps of median household income, Iowa, USA, 2006-2010. Journal of Maps http://dx.doi.org/10.1080/17445647.2013.768183
[6] Wong, D. W. and M. Sun.* 2013. Handling Data quality information of survey data in GIS: a case of using the American Community Survey data. Spatial Demography 1(1): 3-16.
[7] Sun, M.*, D. W. Wong, and B. Kronenfeld. 2015. A classification method for choropleth maps incorporating data reliability information. The Professional Geographer 67(1): 72-83. DOI:10.1080/00330124.2014.888627
[8] Sun, M.*, D. W. Wong, and B. Kronenfeld. 2016. A heuristic multi-criteria classification approach incorporating data quality information for choropleth mapping. Cartography and Geographic Information Science 44(3): 246-258. DOI: 10.1080/15230406.2016.1145072 (PMCID: PMC5342899)
[9] Sun, M., and D. W. S Wong. 2017. Interactive-heuristic spatial aggregation as a means to improve attribute reliability. Computers, Environment and Urban Systems 65: 15-27 https://doi.org/10.1016/j.compenvurbsys.2017.04.007
[10] Kronenfeld, B. J. and D. W. S. Wong. 2017. Visualizing statistical significance of disease clusters using cartograms. International Journal of Health Geographics. 16:19 DOI 10.1186/s12942-017-0093-9 (PMCID: PMC5433035)