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STS583 Michael W. et al.
                  1.2. Linking of the satellite-based population data as well as the land coverage
                      data  to  the  available  georeferenced  census-based  enumeration  areas
                      (hybrid approach).
                      In this section we apply an option, which allows to draw a sample from a
                  combination  of  geo-referenced  enumeration  areas  and  different  remotely
                  sensed data.
                      This situation arises, when either the census data is expected to be severely
                  outdated, or when only the geo-referenced units but no other census data is
                  accessible. We have produced the same population estimates, by either a pure
                  PPS (PPS) design or a stratified PPS (STRPPS) and with or without calibration
                  to  known  population  totals.  Calibration  has  been  implemented  at  the
                  household level, which preserves equal weights for all household members.
                      The MOS was the ratio of built-up area to the total EA’s area. To further
                  improve  the  estimates,  the  sample  includes  an  additional  stratification,  by
                  built-up area into 3 strata, and sampling units are proportionally allocated.
                  Table .. bellow presents the results of this.

                       Target Value & Design  MSE Est. Pop. Mean CV% Deff n_psu n_ssu Est. Pop. Total
                  Age PPS                    1.87    21.13    1.91 2.48  80   12    955795
                  Age PPS (calibrated)       0.33    21.1     0.32 0.07  80   12    951375
                  Age STRPPS                 1.67    21.16    1.71 1.98  80   12    929429
                  Age STRPPS (calibrated)    0.29    21.1     0.28 0.06  80   12    951411
                  Consumption PPS            1.31  563728.96  1.24 2.27  71   12    221831
                  Consumption STRPPS 1       1.13  563774.77   1.1  1.8  71   12    215094
                  Employment PPS             5.37    0.45     5.74 6.24  71   12    949198
                  Employment PPS (calibrated)  0.26  0.46      0    0   71    12    951542
                  Employment STRPPS          4.99    0.45     4.87 4.41  71   12    929512
                  Employment STRPPS (calibrated)  0.21  0.46   0    0   71    12    951293
                  Population Count PPS       9.59     NA      10.06 Inf  120  12    945090
                  Population Count STRPPS    7.32     NA      7.53  Inf  120  12    936555
                                               Table 3: Hybrid frame

                      Results are largely comparable, however for the population count the MSE
                  is considerably larger. Other estimates compare quite well in terms of their
                  MSE and their CV. As expected estimates can be further improved through
                  logistic calibration, with the accompanying decrease in the CV.
                      Which, however, becomes particularly clear in view of the results is the
                  improvements of the results derived by this MOS over the results derived from
                  an incorrect MOS. In other words the application of recent satellite data should
                  be preferred over the option of outdated population data.
                      It is also important to note in this regard, that the built-up area is derived
                  from images which took place a few years after the original census, and since
                  we  only  spatially  allocated  the  units  within  the  enumeration  area,  but  not
                  between them, our estimates are rather conservative, and the improvement



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