served from IRI/LDEO Climate Data Library
∫dY [ CIESIN GPWv2 apct95 ]: 1995 U.N. Adjusted Population Counts data
GPWv2 apct95 1995 U.N. Adjusted Population Counts from CIESIN: Center for International Earth Science Information Network.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) periodic (179.9792W) to (179.9792E) by 0.04166667 N= 8640 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (85N) to (58S) by 0.04166667 N= 3433 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- file_missing_value
- -9999
- missing_value
- NaN
- units
- Number of Persons degree_north
References
Deichmann, U., D. Balk, G. Yetman, 2001: Transforming Population Data for Interdisciplinary Usages: From census to grid. GPWv2 working paper. SEDAC.
Last updated: Mon, 12 Sep 2016 21:27:52 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 $integral dY$ [ CIESIN GPWv2 apct95 ][ X Y |] | M | 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 X Y
- Differentiate along X Y
- Take differences along 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