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North American Bat Monitoring Program (NABat) Master Sample and Grid-Based Sampling Frame: Puerto Rico at a 5x5km resolution

Dates

Publication Date

Citation

Talbert, C., and Reichert, B., 2018, North American Bat Monitoring Program (NABat) Master Sample and Grid-Based Sampling Frame: U.S. Geological Survey data release, https://doi.org/10.5066/P9O75YDV.

Summary

The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of N total number of 10- by 10-km (100-km2) grid cell sample units. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely travel many kilometers each night between roosts and foraging areas and along foraging routes. A draw of sample units from a finite sampling frame using the GRTS design produces an ordered list of units such that any ordered subset of that list is also randomized and spatially balanced. This vector dataset is the individual grid-based sampling grid for Puerto Rico at a 5x5km resolution.

Contacts

Point of Contact :
Brian E Reichert
Originator :
Colin Talbert, Brian E Reichert
Metadata Contact :
Colin Talbert
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

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Shapefile: PR_mastersample_5km_GRTS.zip
PR_mastersample_5km_GRTS.cpg 10 Bytes
PR_mastersample_5km_GRTS.dbf 199.44 KB
PR_mastersample_5km_GRTS.prj 421 Bytes
PR_mastersample_5km_GRTS.shp 318.85 KB
PR_mastersample_5km_GRTS.shx 18.85 KB

Purpose

The GRTS design provides solutions to several practical challenges faced by bat surveyors that are not provided by more familiar designs such as simple random, stratified, and systematic sampling. The GRTS design allows for sample site additions and deletions, supports unequal-probability selection of survey locations, and provides an approximately unbiased neighborhood-weighted variance estimator that takes advantage of the spatial structure present in the surveyed population.

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Additional Information

Shapefile Extension

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