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Attributed North American Grid-Based Offshore Sampling Frames

Metadata Updated: October 29, 2023

This sampling frame is a set of grid-based, finite-area frames spanning the offshore areas surrounding Canada, the United States, and Mexico, and is intended for use with the North American Bat Monitoring Program (NABat). A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids ( The GRTS survey design algorithm assigns a spatially balanced and randomized ordering (GRTS order) to each cell within its respective framework. Grid cells are prioritized numerically; the lower the number, the higher the sampling priority. Cells can then be selected for monitoring following the GRTS order, ensuring both randomization and spatial balance. Monitoring within this standardized framework allows statistical inference to non-surveyed locations and ensures the validity of analyses at regional and range-wide scales. NABat is a continental collaboration including state and provincial, federal, and local agencies intended to standardize the collection and storage of bat data. Alaskan and Canadian waters are combined into a single grid. There are 5 grids in total: Alaska/Canada (AKCAN) Offshore grid, Continental United States (CONUS) Offshore grid, Mexico Offshore grid, Hawaii Offshore Grid, and Caribbean Offshore grid. Grid boundaries are based on World Exclusive Economic Zone oceanic political boundaries and extend into the shoreline 30 kilometers.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023
Publisher U.S. Geological Survey
Identifier USGS:6419d51ed34eb496d1d29c3d
Data Last Modified 20230407
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id a169ce06-b0dd-484d-9c8c-39bfbfa309cf
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -180.0,5.7909,-50.9766,85.1114
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 477474601b5a5bca6a5f9cf118ae9878ad20a64c91d87c94ae024f4b5fd1a603
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -180.0, 5.7909, -180.0, 85.1114, -50.9766, 85.1114, -50.9766, 5.7909, -180.0, 5.7909}

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