Baseline	province	T
Rwanda WASP queriesENACTS[countryquery provincequery cabaseline_full pabaseline dabaseline districtquery daENACTS-last_WASP12 paENACTS-last_WASP12 dabaseline_full pabaseline_full cabaseline caENACTS-last_WASP12 ]
Rwanda WASP queriesENACTS provincequery prov_name[ | province]		M
grid: /T (months since 1960-01-01) ordered (1983) to (2013) by 1.0 N= 361 pts :grid			M
grid: /province (ids) unordered [ (EASTERN PROVINCE) (NORTHERN PROVINCE) (SOUTHERN PROVINCE) (TOWN OF KIGALI) (WESTERN PROVINCE)] :grid		M
grid: /Baseline (months since 1960-01-01) ordered (1983) to (2013) by 12.0 N= 31 pts :grid	M
Rwanda WASP queriesENACTS pabaseline[ T | province Baseline]	M	M	M
Rwanda WASP queriesENACTS provincequery prov_name[ | province]		M

SOURCES .Rwanda .WASP .queriesENACTS provincequery .prov_name 1 index .pabaseline ngridtable 4 index

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

Average over province |
RMS (root mean square with mean *not* removed) over province |
RMSA (root mean square with mean removed) over province |
Maximum over province |
Minimum over province |
Detrend (best-fit-line) over province |

Convert units from ids to

Note on units