served from digilib.icpac.net
Features Political ICPAC_coarse Regions the_geom: Admin1 geometry data
Features Political ICPAC_coarse Regions the_geom.Independent Variables (Grids)
- gid
- grid: /gid (unitless) ordered [ (1) (2) (3) ... (492)] N= 238 pts :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| gid | |
 Features Political ICPAC_coarse Regions[the_geom
label
adm1_name
adm0_name
adm0_code
adm1_code
] | |
| Features Political ICPAC_coarse Regions the_geom[ | gid] | M |
|---|---|
| Features Political ICPAC_coarse Regions the_geom[ | gid] | M |
 Features Political ICPAC_coarse Regions the_geom[ | 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
RMS (root mean square with mean *not* removed) over gid |
RMSA (root mean square with mean removed) over gid |
Maximum over gid |
Minimum over gid |
Detrend (best-fit-line) over gid |
Note on units