mean [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ]: Percent Occurrence of Precipitation Condition in Historical Record data
PcpnCondProb PcpnCondProb PcpnCondProb Percent Occurrence of Precipitation Condition in Historical Record from CIPH Rwanda CSMT_ENACT falciparum: Climatic Suitability for a Malaria Transmission.
Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (Jan 1960) (Feb 1960) (Mar 1960) (Apr 1960) (May 1960) (Jun 1960) (Jul 1960) (Aug 1960) (Sep 1960) (Oct 1960) (Nov 1960) (Dec 1960)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.55625E) to (30.95625E) by 0.03750002 N= 65 pts :grid
Other Info
- CE
- null
- CI
- 25.0
- CS
- null
- datatype
- realarraytype
- 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 Y[2.98125S, 1.03125S] 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 X
T
- Differentiate along X
T
- Take differences along X
T
Average over
X
T
|
X T
|
RMS (root mean square with mean *not* removed) over
X
T
|
X T
|
RMSA (root mean square with mean removed) over
X
T
|
X T
|
Maximum over
X
T
|
X T
|
Minimum over
X
T
|
X T
|
Detrend (best-fit-line) over
X
T
|
X T
|
Note on units