data: ENACTS version0 WASP queriesENACTS provincequery shape

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ENACTS version0 WASP queriesENACTS provincequery shape_leng

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

Independent Variables (Grids)

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

Other Info

bufferwordsize: 8
datatype: doublearraytype
missing_value: NaN
PGtype: float8
units: unitless

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

Data Views

	province	T
ENACTS version0 WASP queriesENACTS[caENACTS-last_WASP12 cabaseline_full dabaseline_full pabaseline_full provincequery districtquery daENACTS-last_WASP12 countryquery paENACTS-last_WASP12 ]
ENACTS version0 WASP queriesENACTS paENACTS-last_WASP12[ \| province T]	M	M
ENACTS version0 WASP queriesENACTS provincequery[exp1_year status disp_area adm0_code the_geom gid adm1_code coarse_geom adm1_name adm0_name shape_leng shape_area str1_year ]
ENACTS version0 WASP queriesENACTS provincequery shape_leng[ \| 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