data: $integral dprovince$ [ ENACTS version0 WASP queriesENACTS provincequery gid ]

∫dprovince [ ENACTS version0 WASP queriesENACTS provincequery gid ]

WASP queriesENACTS provincequery gid int_dprovince int_dprovince from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.

Independent Variables (Grids)

province: grid: /province (ids) unordered [ (Abim) (Addis Ababa) (Adjumani) ... (Zombo)] N= 238 pts :grid

Other Info

CE: null
CS: null
datatype: realarraytype
PGtype: int4
units: unitless ids

Last updated: Fri, 09 Dec 2016 07:24:45 GMT

Data Views

	province
ENACTS version0 WASP queriesENACTS provincequery[the_geom exp1_year str1_year adm1_name gid disp_area status adm1_code adm0_code adm0_name shape_area shape_leng coarse_geom ]
grid: /province (ids) unordered [ (Abim) (Addis Ababa) (Adjumani) ... (Zombo)] N= 238 pts :grid	D
$integral dprovince$ [ ENACTS version0 WASP queriesENACTS provincequery gid ][ \| province]	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 province
Differentiate along province
Take differences along province