Random Point Sampling (2007-2018) for Three U.S. Cities
Cite this dataset
Merry, Krista (2022). Random Point Sampling (2007-2018) for Three U.S. Cities [Dataset]. Dryad. https://doi.org/10.5061/dryad.h18931znt
Abstract
A point sampling methodology was employed using imagery available through Google Earth Pro to assess land cover changes in Buffalo, NY, Denver, CO, and San Diego, CA. Analysis began during the Great Recession and concluded in 2018. Point sampling was used to classify land cover using 11 land cover classes. Further, point pattern analysis was employed to determine the existance (or lack thereof) of patterns associated with land cover change in each city.