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Features Political Africa Districts the_geom
Districts the_geom from Features Political Africa: Africa 1st and 2nd Order Administrative Boundaries.Independent Variables (Grids)
- feature_id
- grid: /feature_id (unitless) ordered [ (101) (102) (103) ... (251010006)] N= 3896 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: Wed, 29 May 2024 07:29:02 GMT
Data Views
display shapes| feature_id | |
 Features Political Africa Districts[the_geom
country_na
label
prov_na
dist_na
] | |
| Features Political Africa Districts label[ | feature_id] | M |
|---|---|
| Features Political Africa Districts label[ | feature_id] | M |
 Features Political Africa Districts the_geom[ | feature_id] | 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 feature_id
- Differentiate along feature_id
- Take differences along feature_id
RMS (root mean square with mean *not* removed) over feature_id |
RMSA (root mean square with mean removed) over feature_id |
Maximum over feature_id |
Minimum over feature_id |
Detrend (best-fit-line) over feature_id |
Note on units