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 adm0_name[ | district]	D
$partialdiff sub district$ [ NiMet WASP queriesENACTS lgasquery adm2_name ][ | district]	M

SOURCES .NiMet .WASP .queriesENACTS .lgasquery adm0_name 1 index .adm2_name district partial

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

Average over 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 |

Convert units from unitless to

Note on units