detrended-bfl min [ CIPH Rwanda CSMT_ENACT falciparum TempCondProb ] : Percent Occurrence of Temperature Condition in Historical Record data
TempCondProb min Percent Occurrence of Temperature Condition in Historical Record from CIPH Rwanda CSMT_ENACT falciparum: Climatic Suitability for a Malaria Transmission.
Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.525E) to (30.975E) by 0.05000002 N= 50 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.975S) to (1.025S) by 0.05 N= 40 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CI
- 25.0
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- unitless
- history
- CIPH Rwanda CSMT_ENACT falciparum TempCondProb
- Boxes with less than 0.0% dropped
Averaged over T2[1981, 2010] minimum 0.0% data present
detrended-bfl min [ CIPH Rwanda CSMT_ENACT falciparum TempCondProb ] - min over T[Jan, Dec]
References
Grover-Kopec_etal2006
Last updated: Mon, 09 May 2022 14:32:03 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
Y
- Differentiate along X
Y
- Take differences along X
Y
Average over
X
Y
|
X Y
|
RMS (root mean square with mean *not* removed) over
X
Y
|
X Y
|
RMSA (root mean square with mean removed) over
X
Y
|
X Y
|
Maximum over
X
Y
|
X Y
|
Minimum over
X
Y
|
X Y
|
Detrend (best-fit-line) over
X
Y
|
X Y
|
Note on units