data: max min $partialdiff sub Y$ [ CIPH Rwanda CSMT

max min ∂_Y [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ] : ∂_Y Percent Occurrence of Precipitation Condition in Historical Record data

PcpnCondProb partial_Y min ∂_Y 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 (2.94375S) to (1.06875S) by 0.03750001 N= 51 pts :grid

Other Info

CE

100.0

CI

25.0

CS

0.0

datatype

realarraytype

fnname

flagge

maxncolor

254

missing_value

NaN

units

57.2957795130823 radian^-1 north

history

$partialdiff sub Y$ [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ]

Boxes with less than 0.0% dropped
Averaged over T2[1981, 2023] minimum 0.0% data present

min $partialdiff sub Y$ [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ]

min over X[28.5375E, 30.975E]

max min $partialdiff sub Y$ [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ]

max over T[Jan, Dec]

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: Wed, 26 Jun 2024 16:53:08 GMT

Data Views

	Y
max min $partialdiff sub Y$ [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ] [ Y \|]	M

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