data: eBird state_seasonal ra

served from IRI/LDEO Climate Data Library

eBird state_seasonal ra: Region Area data

state_seasonal Region Area from eBird: eBird.

Independent Variables (Grids)

gid: grid: /gid (unitless) ordered [ (1207) (1208) (1209) (1210) (1211) (1212) (1213) (1214) (1216) (1217) (1218) (1219) (1220) (1221) (1222) (1223) (1224) (1225) (1226) (1227) (1228) (1229) (1230) (1231) (1232) (1233) (1234) (1235) (1236) (1237) (1238) (1239) (1240) (1241) (1242) (1243) (1244) (1245) (1246) (1247) (1248) (1249) (1250) (1251) (1252) (1253) (1254) (1255) (1256) (1257)] :grid

Other Info

bufferwordsize: 4
datatype: realarraytype
missing_value: -1
units: unitless

References

Brian L. Sullivan, Christopher L. Wood, Marshall J. Iliff, Rick E. Bonney, Daniel Fink, Steve Kelling, eBird: A citizen-based bird observation network in the biological sciences, Biological Conservation, Volume 142, Issue 10, 2009, Pages 2282-2292, ISSN 0006-3207, https://doi.org/10.1016/j.biocon.2009.05.006. (http://www.sciencedirect.com/science/article/pii/S000632070900216X)

Last updated: Wed, 08 Dec 2021 15:20:26 GMT

Data Views

	gid
eBird state_seasonal ra[ gid \|]	M

Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along gid
Differentiate along gid
Take differences along gid