Interpolation statistics for the Cortland sourcewater study area in upstate New York

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).

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://ddi.doi.gov/usgs-data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier http://datainventory.doi.gov/id/dataset/usgs-60ddc85ad34e3a6dca27ffeb
metadata_type geospatial
modified 2024-05-14T00:00:00Z
old-spatial -76.3, 42.5, -76.0, 42.75
publisher U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 91d4063b2c1b9b63a05ceec511bce18438ad46451fe659deaf76f499c54c7fa5
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-76.3, 42.5], [-76.3, 42.75], [ -76.0, 42.75], [ -76.0, 42.5], [-76.3, 42.5]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • aquifer-mapping
  • bedrock-mapping
  • cortland
  • cortland-county
  • glacial-geology
  • new-york
  • sourcewater
  • statistics
  • usgs-60ddc85ad34e3a6dca27ffeb
  • valley-fill
isopen False
license_id notspecified
license_title License not specified
maintainer Joshua C Woda
maintainer_email jwoda@usgs.gov
metadata_created 2025-09-24T04:45:02.401757
metadata_modified 2025-09-24T04:45:02.401765
notes 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).
num_resources 2
num_tags 18
title Interpolation statistics for the Cortland sourcewater study area in upstate New York