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∂district ∫ddistrict [ NiMet WASP queriesENACTS lgasquery status ] : ∂district data
∂district ∫ddistrict [ NiMet WASP queriesENACTS lgasquery status ] .Independent Variables (Grids)
- district
- grid: /district (ids) unordered [ () (Aba South) (Abadam) ... (Zuru)] N= 775 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- PGtype
- varchar
- units
- ids ids /ids
Last updated: Tue, 13 Aug 2024 08:17:43 GMT
Data Views
Views
line plots
color bars
scatter| district | |
 NiMet WASP queriesENACTS lgasquery[shape_leng
the_geom
adm2_code
adm1_code
str2_year
exp2_year
status
disp_area
coarse_geom
adm0_code
adm0_name
shape_area
gid
adm2_name
adm1_name
] | |
| NiMet WASP queriesENACTS lgasquery adm1_name[ | district] | D |
|---|---|
 $partialdiff sub district$ $integral ddistrict$ [ NiMet WASP queriesENACTS lgasquery status ] [ | district] | 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 district
- Differentiate along district
- Take differences along district
RMS (root mean square with mean *not* removed) over district |
RMSA (root mean square with mean removed) over district |
Maximum over district |
Minimum over district |
Detrend (best-fit-line) over district |
Note on units