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Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas
This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated Python script (Jahn, 2020).
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Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas
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The city of Cortland is located in Cortland County, New York. Previous USGS reports here include Water-Resources Investigations Report 96-4255 (Miller and others, 1998), and Open-File Report 81-1022 (Miller and Brooks, 1981). The five child pages below break the data up into georeferenced and digitized previous report data, interpreted geologic information, well logs, supplemental point data, and interpolation statistics.
Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas
공공데이터포털
This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated Python script (Jahn, 2020).
Interpolation statistics for the Olean sourcewater study area in upstate New York
공공데이터포털
This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated Python script (Jahn, 2020).
Interpolation statistics for the Ellicottville sourcewater study area in upstate New York
공공데이터포털
This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated Python script (Jahn, 2020).