mean mean [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ] : Percent Occurrence of Precipitation Condition in Historical Record data
PcpnCondProb PcpnCondProb PcpnCondProb PcpnCondProb Percent Occurrence of Precipitation Condition in Historical Record from CIPH Rwanda CSMT_ENACT falciparum: Climatic Suitability for a Malaria Transmission.
is
Independent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CI
- 25.0
- CS
- null
- datatype
- doublearraytype
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- unitless
- history
- CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb
- Boxes with less than 0.0% dropped
Averaged over T2[1981, 2023] minimum 0.0% data present
mean [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ]- Averaged over X[28.51875E, 30.99375E] minimum 0.0% data present
mean mean [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ] - Averaged over Y[2.9625S, 1.05S] T[16 Jan - 15 Feb, 16 Dec - 15 Jan] minimum 0.0% data present
References
Grover-Kopec_etal2006
Last updated: Wed, 26 Jun 2024 16:53:08 GMT
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