∂district∂district [ Malawi WASP queriesCHIRPS daCHIRPS-last_WASP12 ] anomalies: ∂district∂district District-Average CHIRPS 12-Month WASP data
∂district∂district [ Malawi WASP queriesCHIRPS daCHIRPS-last_WASP12 ] anomalies.
Independent Variables (Grids)
district
grid: /district (ids) unordered [ (0!OX0!OX) (0!OX0!OX) (lu) (0!OX0!OX) (0!OX0!OX) (ÿÿÿÿ) (ÌÝl) (ÀÝl) (ÿÿÿÿ) (0!OX0!OX) (0!OX0!OX) (0!OX0!OX) (!) (elect 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;`) (É‘l) (Ø) (rval) (ay) (ta) (0!OX0!OX) (0!OX0!OX) (0!OX0!OX) (s 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;`) (0!OX0!OX) (0!OX0!OX) (HFc)] :grid
Time
grid: /T (months since 1960-01-01) ordered (16 Jul 1991 - 15 Aug 1991) to (16 May 2020 - 15 Jun 2020) by 1.0 N= 347 pts :grid
Other Info
CE
null
colorscalename
std_wasp_colors
CS
null
datatype
realarraytype
file_missing_value
-99.0
maxncolor
254
missing_value
NaN
units
unitless /ids /ids
history
$partialdiff sub district$ $partialdiff sub district$ [ Malawi WASP queriesCHIRPS daCHIRPS-last_WASP12 ]
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.