Fang Ren, Ph.D.
Avijit Sarkar, Ph.D.
Information and communications technologies (ICT), such as the Internet, have become increasingly important in society; however, access to these technologies has been unequal across socio-economic and demographic groups. Statistical methods, including k-means clustering analysis, spatial autocorrelation analysis, ordinary least squares regression analysis, geographically weighted regression analysis, and spatial dependence analysis were used to analyze spatial patterns of Internet usage in US counties. The results of these analyses showed strong urban and rural divides in the dependent variables. The regression analyses showed that urban, educational attainment, and employment explained the most variation in ICT use and adoption. When incorporating spatial regression models, strong spatial dependence was found in all models.
Florkowski, L. N. (2014). Information and Communications Technology Utilization and the Digital Divide: An Analysis of United States Counties (Master's thesis, University of Redlands). Retrieved from https://inspire.redlands.edu/gis_gradproj/207
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