served from digilib.icpac.net
Features Political ICPAC_coarse Countries the_geom: Country geometry data
Features Political ICPAC_coarse Countries the_geom.Independent Variables (Grids)
- adm0_code
- grid: /adm0_code (unitless) ordered [ (6) (43) (70) (74) (77) (79) (133) (205) (226) (253) (257)] :grid
Other Info
- bufferwordsize
- 0
- datatype
- geometrytype
- OpenGISSimpleFeature
- MULTIPOLYGON
- PGtype
- bytea
- SpatialReferenceSystemWKT
- GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.01745329251994328,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]]
- units
- unitless
Last updated: Fri, 16 Oct 2020 06:54:23 GMT
Data Views
display shapes| adm0_code | |
 Features Political ICPAC_coarse Countries[adm0_name
label
the_geom
] | |
| grid: /adm0_code (unitless) ordered [ (6) (43) (70) (74) (77) (79) (133) (205) (226) (253) (257)] :grid | M |
|---|---|
 Features Political ICPAC_coarse Countries the_geom[ | adm0_code] | 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 adm0_code
- Differentiate along adm0_code
- Take differences along adm0_code
RMS (root mean square with mean *not* removed) over adm0_code |
RMSA (root mean square with mean removed) over adm0_code |
Maximum over adm0_code |
Minimum over adm0_code |
Detrend (best-fit-line) over adm0_code |
Note on units