data: mean $integral dcode_dist$ [ Features Political Rwanda Districts dist

mean ∫dcode_dist [ Features Political Rwanda Districts dist_na ]

Districts dist_na int_dcode_dist int_dcode_dist from Features Political Rwanda: Rwanda 1st, 2nd, and 3rd Order Administrative Boundaries. is

Independent Variables (Grids)

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
PGtype: varchar
units: ids ids
history: Averaged over code_dist[11, ]

Last updated: Tue, 09 Jan 2018 15:33:47 GMT

Data Views

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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
Differentiate along
Take differences along

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

Note on units