served from maproom.meteorwanda.gov.rw
min ∫dX [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ] : Percent Occurrence of Precipitation Condition in Historical Record data
PcpnCondProb int_dX Percent Occurrence of Precipitation Condition in Historical Record from CIPH Rwanda CSMT_ENACT falciparum: Climatic Suitability for a Malaria Transmission.Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.9625S) to (1.05S) by 0.0375 N= 52 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 100.0
- CI
- 25.0
- CS
- 0.0
- datatype
- doublearraytype
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- degree_east
- standard units*
- 0.0174532925199433 radian east
- history
- $integral dX$ [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ]
- Boxes with less than 0.0% dropped
Averaged over T2[1981, 2023] minimum 0.0% data present
min $integral dX$ [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ]- min over X[28.51875E, 30.99375E] T[Jan, Dec]
- Boxes with less than 0.0% dropped
- colorscale
References
Grover-Kopec, E. K., M. B. Blumenthal, P. N. Ceccato, T. Dinku, J. Omumbo, S. J. Connor, 2006: Web-based climate information resources for malaria control in Africa. Malaria Journal, 5:38.
Last updated: Fri, 14 Jun 2024 08:15:56 GMT
Data Views
Views
line plots
color bars
scatter
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 Y
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units