served from maproom.metmalawi.gov.mw
∂district ∫ddistrict [ Malawi WASP queriesCHIRPS districtquery str2_year ] : ∂district data
∂district ∫ddistrict [ Malawi WASP queriesCHIRPS districtquery str2_year ] .Independent Variables (Grids)
- district
- grid: /district (ids) unordered [ (Area under National Administration) (Balaka) (Blantyre) (Chikwawa) (Chiradzulu) (Chitipa) (t from (select district,gid,adm2_code,adm2_name,str2_year,exp2_year,adm1_code,adm1_name,status,disp_area,adm0_code,adm0_name,cast(shape_leng as float8) as shape_leng,cast(shape_area as float8) as shape_area,asbinary(the_geom,'ndr') as the_geom from (select adm2_name as district,* from g2015_2014_2 where adm2_name is not null and adm0_name~'Malawi' order by adm2_name)as mybquery) as ivarq;) (8ñNX8ñNX) (Karonga) (Kasungu) (Likoma) (Lilongwe) (Machinga) (Mangochi) (Mchinji) (Mulanje) (Mwanza) (Mzimba) (Neno) (Nkhata Bay) (Nkhotakota) (stration8) () (Ntchisi) (Phalombe) (Rumphi) (Salima) ((óNX(óNXˆª» ) (Zomba)] :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- PGtype
- int4
- units
- unitless ids /ids
Last updated: Thu, 02 Nov 2023 07:43:25 GMT
Data Views
Views
line plots
color bars
scatter| district | |
 $partialdiff sub district$ $integral ddistrict$ [ Malawi WASP queriesCHIRPS districtquery str2_year ] [ | district] | M |
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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