served from IRI/LDEO Climate Data Library
CIESIN GPWv2 apds95: 1995 U.N. Adjusted Population Density data
GPWv2 1995 U.N. Adjusted Population Density 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 (84.97916N) to (57.97917S) by 0.04166666 N= 3432 pts :grid
Other Info
- CE
- 1500
- CS
- 0
- maxncolor
- 254
- missing_value
- -9999
- scale_max
- 1500.0
- scale_min
- 0.0
- units
- Persons per km2
- valid_min
- 0
- colorscale
References
Deichmann, U., D. Balk, G. Yetman, 2001: Transforming Population Data for Interdisciplinary Usages: From census to grid. GPWv2 working paper. SEDAC.
Last updated: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 CIESIN GPWv2 apds95[ X Y |] | M | M |
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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