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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
Views
line plots
color bars
scatter| Baseline | BaseYears | district | T | |
 Rwanda WASP queriesENACTS[countryquery
districtquery
pabaseline_full
dabaseline_full
cabaseline
dabaseline
provincequery
pabaseline
caENACTS-last_WASP12
daENACTS-last_WASP12
cabaseline_full
paENACTS-last_WASP12
] | ||||
| Rwanda WASP queriesENACTS districtquery dist_name[ | district] | M | |||
|---|---|---|---|---|
| grid: /T (months since 1960-01-01) ordered (1983) to (2013) by 1.0 N= 361 pts :grid | M | |||
| 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 | M | |||
| grid: /Baseline (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid | M | |||
| grid: /BaseYears (months since 1960-01-01) ordered (1983) to (2012) by 12.0 N= 30 pts :grid | M | |||
| Rwanda WASP queriesENACTS dabaseline_full[ T | district Baseline BaseYears] | M | 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
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