data: Rwanda WASP queriesENACTS districtquery dist

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Rwanda WASP queriesENACTS districtquery dist_name

Rwanda WASP queriesENACTS districtquery dist_name from SOURCES: the IRI/LDEO collection of climate data.

Independent Variables (Grids)

district: grid: /district (ids) unordered [ (Bugesera) (Burera) (Gakenke) (Gasabo) (Gatsibo) (Gicumbi) (Gisagara) (Huye) (Kamonyi) (Karongi) (Kayonza) (Kicukiro) (Kirehe) (Muhanga) (Musanze) (Ngoma) (Ngororero) (Nyabihu) (Nyagatare) (Nyamagabe) (Nyamasheke) (Nyanza) (Nyarugenge) (Nyaruguru) (Rubavu) (Ruhango) (Rulindo) (Rusizi) (Rutsiro) (Rwamagana)] :grid

Other Info

bufferwordsize: 10
datatype: stringtype
PGtype: varchar
units: ids

Last updated: Tue, 15 Aug 2017 14:04:01 GMT

Data Views

	Baseline	district	T
Rwanda WASP queriesENACTS[countryquery districtquery cabaseline_full pabaseline dabaseline caENACTS-last_WASP12 cabaseline dabaseline_full provincequery paENACTS-last_WASP12 daENACTS-last_WASP12 pabaseline_full ]
Rwanda WASP queriesENACTS districtquery dist_name[ \| district]		M
Rwanda WASP queriesENACTS dabaseline[ T \| district Baseline]	M	M	M
Rwanda WASP queriesENACTS districtquery dist_name[ \| district]		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 district
Differentiate along district
Take differences along district