data: root mean sq anom [ CIPH Rwanda CSMT_ENACT falciparum TempCondProb ]

root mean sq anom [ CIPH Rwanda CSMT_ENACT falciparum TempCondProb ]: Percent Occurrence of Temperature Condition in Historical Record data

TempCondProb Percent Occurrence of Temperature 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 (2.975S) to (1.025S) by 0.05 N= 40 pts :grid

Other Info

bufferwordsize

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

root mean sq anom [ CIPH Rwanda CSMT_ENACT falciparum TempCondProb ]

Averaged over X[28.525E, 30.975E] T[Jan, Dec] 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: Mon, 09 May 2022 14:32:03 GMT

Data Views

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root mean sq anom [ CIPH Rwanda CSMT_ENACT falciparum TempCondProb ][ 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