Date of Award
Master of Arts (MA)
Carson J. Q. Farmer
Academic Program Adviser
Researchers analyzing spatiotemporal or panel data, which varies both in location and over time, often find that their data has holes or gaps. This thesis explores alternative methods for filling those gaps and also suggests a set of techniques for evaluating those gap-filling methods to determine which works best.
Graves, Kristin K., "Using Spatiotemporal Methods to Fill Gaps In Energy Usage Interval Data" (2015). CUNY Academic Works.
Supplementary graphics in pdf format
graves_correlations_STRno.csv (792 kB)
Correlation details for un-stratified data in csv format
graves_correlations_STRyes.csv (4707 kB)
Correlation details for stratified data in csv format
graves_geary_moran.csv (122 kB)
Geary's C and Moran's I details in csv format
Geographic Information Sciences Commons, Longitudinal Data Analysis and Time Series Commons, Multivariate Analysis Commons, Oil, Gas, and Energy Commons, Spatial Science Commons, Statistical Models Commons