data: mean $integral dY$ mean [ CIPH Rwanda CSMT

mean ∫dY mean [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ] : Percent Occurrence of Precipitation Condition in Historical Record data

PcpnCondProb PcpnCondProb int_dY 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 (2.98125S) to (1.03125S) by 0.0375 N= 53 pts :grid

Other Info

bufferwordsize

CE

null

CI

25.0

CS

null

datatype

doublearraytype

fnname

flagge

maxncolor

254

missing_value

NaN

units

degree_north

standard units*

0.0174532925199433 radian north

history

CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb

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

$integral dY$ mean [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ]

Averaged over T[Jan, Dec] minimum 0.0% data present

mean $integral dY$ mean [ CIPH Rwanda CSMT_ENACT falciparum PcpnCondProb ]

Averaged over X[28.51875E, 30.99375E] minimum 0.0% data present

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
mean $integral dY$ mean [ 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