This tool enables you to identify an appropriate grid sampling frame that covers your location, and use the center point of that when submitting your coordinates to the Bat Acoustic Monitoring Portal(BatAMP). BatAMP is a place to archive and visualize bat monitoring datasets generated from nay type of acoustic detector or species identification process.
This tool can also help you identify the appropriate sampling frame for use with the North American Bat Monitoring Project. To do so, you must use the NABat GRTS sampling frame only.
Sampling frames were constructed to cover North America (Canada, United States, and Mexico) using grid cells of approximately equal area. These sampling frames, particularly those used for NABat (GRTS) are used for systematically collecting and monitoring bat detections and occurrences over time.
This application is constructed as a static web application using GatsbyJS and is hosted on Netlify at https://grids.batamp.databasin.org/.
Data for the sampling frames were created and merged into a continent-wide dataset as described below. These are provided as vector tiles for use with this application.
NABat GRTS sampling frames (5-10km) downloaded from here. These frames are derived from the 5-10km North American grids, selected out for overlap with country / area boundary.
Reproject everything to WGS84 using ogr2ogr (much faster than in geopandas) and drop all unnecessary attributes.
In grids folder:
ogr2ogr -t_srs EPSG:4326 derived/conus_10km_wgs84.shp source/conus_mastersample_10km_attributed.shp -sql "SELECT GRTS_ID, lat, long, CONUS_10KM from conus_mastersample_10km_attributed"
ogr2ogr -t_srs EPSG:4326 derived/ak_10km_wgs84.shp source/ak_mastersample_10km_attributed.shp -sql "SELECT GRTS_ID, lat, long, AKCAN_10KM from ak_mastersample_10km_attributed"
ogr2ogr -t_srs EPSG:4326 derived/can_10km_wgs84.shp source/can_mastersample_10km_attributed.shp -sql "SELECT GRTS_ID, lat, long, AKCAN_10KM from can_mastersample_10km_attributed"
ogr2ogr -t_srs EPSG:4326 derived/mex_10km_wgs84.shp source/mex_mastersample_10km_attributed.shp -sql "SELECT GRTS_ID, lat, long, MEX10KM_ID as MEX_10KM from mex_mastersample_10km_attributed"
ogr2ogr -t_srs EPSG:4326 derived/hi_5km_wgs84.shp source/hi_mastersample_5km_attributed.shp -sql "SELECT GRTS_ID, lat, long, HI_5KM from hi_mastersample_5km_attributed"
ogr2ogr -t_srs EPSG:4326 derived/pr_5km_wgs84.shp source/pr_mastersample_5km_attributed.shp -sql "SELECT GRTS_ID, lat, long, PR_5KM from PR_mastersample_5km_attributed"
50km frames downloaded from here.
Reproject 50km frames to WGS84:
ogr2ogr -t_srs EPSG:4326 derived/conus_50km_wgs84.shp source/conus_mastersample_50km.shp
ogr2ogr -t_srs EPSG:4326 derived/akcan_50km_wgs84.shp source/akcan_mastersample_50km.shp
ogr2ogr -t_srs EPSG:4326 derived/mex_50km_wgs84.shp source/mex_mastersample_50km.shp
ogr2ogr -t_srs EPSG:4326 derived/hi_50km_wgs84.shp source/hi_mastersample_50km.shp
ogr2ogr -t_srs EPSG:4326 derived/pr_50km_wgs84.shp source/pr_mastersample_50km.shp
Generated using create_frame.py.
Reproject 50km frames to WGS84:
ogr2ogr -t_srs EPSG:4326 derived/conus_100km_wgs84.shp source/conus_100km.shp
ogr2ogr -t_srs EPSG:4326 derived/akcan_100km_wgs84.shp source/akcan_100km.shp
ogr2ogr -t_srs EPSG:4326 derived/mex_100km_wgs84.shp source/mex_100km.shp
ogr2ogr -t_srs EPSG:4326 derived/hi_100km_wgs84.shp source/hi_100km.shp
ogr2ogr -t_srs EPSG:4326 derived/pr_100km_wgs84.shp source/pr_100km.shp
Create vector tiles for each grid level and then merge them together. In root folder of data directory:
tippecanoe -f -Z5 -z8 --no-tile-stats -ai -l na_grts -o tiles/na_grts.mbtiles grids/final/na_grts_wgs84.json
tippecanoe -f -Z1 -z8 --no-tile-stats -ai -l na_50km -o tiles/na_50km.mbtiles grids/final/na_50km_wgs84.json
tippecanoe -f -Z1 -z8 --no-tile-stats -ai -l na_100km -o tiles/na_100km.mbtiles grids/final/na_100km_wgs84.json
tile-join -f --no-tile-stats --no-tile-size-limit -o tiles/grids.mbtiles tiles/na_grts.mbtiles tiles/na_50km.mbtiles tiles/na_100km.mbtiles
Vector tiles are hosted at https://tiles.databasin.org/services/batamp/grids.
Development of this application was supported by a grant from the U.S. Department of Agriculture Forest Service - Pacific Southwest Research Station.