The scientist’s investigation covers issues in Statistics, Econometrics, Cartography, Index of dissimilarity and Modifiable areal unit problem. His work deals with themes such as Multivariate interpolation and Interpolation, which intersect with Statistics. His studies in Interpolation integrate themes in fields like Algorithm and Variogram, Kriging.
His Cartography study combines topics from a wide range of disciplines, such as Census tract and Unit. His studies deal with areas such as Univariate, Multivariate statistics and Scale as well as Modifiable areal unit problem. His research in Scale intersects with topics in Bivariate analysis, Multivariate analysis, Logistic regression and Ethnic group.
David W. S. Wong mostly deals with Statistics, Geographic information system, Spatial analysis, Econometrics and Data mining. His research in the fields of Modifiable areal unit problem, Spatial correlation, Index of dissimilarity and Sample size determination overlaps with other disciplines such as Set. His study in Geographic information system is interdisciplinary in nature, drawing from both Visualization, Geospatial analysis and Data science.
His Data science study combines topics in areas such as Enterprise GIS and GIS and public health. David W. S. Wong works in the field of Spatial analysis, focusing on Spatial descriptive statistics in particular. His research on Econometrics frequently connects to adjacent areas such as Set.
David W. S. Wong mainly investigates Economic geography, Statistics, Spatial analysis, Data mining and Redistricting. As part of the same scientific family, David W. S. Wong usually focuses on Economic geography, concentrating on China and intersecting with Polarization. David W. S. Wong brings together Statistics and Data reliability to produce work in his papers.
His Spatial analysis research incorporates themes from Population density, Moving average and Variables. His studies deal with areas such as Standard error and Choropleth Mapping as well as Data mining. His Redistricting study deals with House of Representatives intersecting with State and Demography.
David W. S. Wong focuses on Statistical inference, Software, Data mining, 2019-20 coronavirus outbreak and Pulse. His Statistical inference research incorporates a variety of disciplines, including Spatial ecology and Space. His biological study spans a wide range of topics, including GeoDa, Spatial analysis and CrimeStat.
His Data mining research incorporates elements of Machine learning, Data set, Range, Data quality and Process. A majority of his 2019-20 coronavirus outbreak research is a blend of other scientific areas, such as China, Severe acute respiratory syndrome coronavirus 2, Perspective and Economic geography.
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The Modifiable Areal Unit Problem in Multivariate Statistical Analysis
A S Fotheringham;D W S Wong.
Environment and Planning A (1991)
An adaptive inverse-distance weighting spatial interpolation technique
George Y. Lu;David W. Wong.
Computers & Geosciences (2008)
Statistical Analysis with ArcView GIS
Jay Lee;David Wing-Shun Wong.
Geographic information system
Chaowei Yang;Menas Kafatos;David W. Wong;Henry D. Wolf.
Spatial Indices of Segregation
David W. S. Wong.
Urban Studies (1993)
Comparison of spatial interpolation methods for the estimation of air quality data
David W Wong;Lester Yuan;Susan A Perlin.
Journal of Exposure Science and Environmental Epidemiology (2004)
Comparing implementations of global and local indicators of spatial association
Roger S. Bivand;David W. S. Wong.
The Modifiable Areal Unit Problem (MAUP)
David W. S. Wong.
Measuring segregation: an activity space approach.
David W. S. Wong;Shih-Lung Shaw.
Journal of Geographical Systems (2011)
Performance‐improving techniques in web‐based GIS
Chaowei Phil Yang;David Wong;Ruixin Yang;Menas Kafatos.
International Journal of Geographical Information Science (2005)
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