r - part - usaid
r - part - usaid
r - part - usaid
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
patterns for the Bay Region.<br />
The system wns first set up using data taken from a<br />
survey by Xunting Technical Services, 1982. This<br />
survey "aappedW t3e region into twenty nine "stratatv,<br />
saeb stratun representing an area which was found to<br />
be statistically h~nogeneous- The original map is<br />
reproduced in Figure 2-2.3. The data was then<br />
transcribed to z computer spreadsheet, with each entry<br />
representing the stratum cade far a five kilometer<br />
square. The resulting %ap* is shown in Figure 2,2.4.<br />
wCellsH containing zeroes are those which lie outside<br />
the Bay 2egion. The co-ordinates used are the U W<br />
grid zone designations in kilometers: this system was<br />
found to 5e easier to work with than the conventional<br />
hours-minutes-seconds system. Statistics for the<br />
densities af houses and animals were then entered far<br />
all stratum codes. From these, the actual number of<br />
houses and aaimals for each 25 sq-km. grid can be<br />
shown in place of the stratum cade.<br />
When more extensive data became available from the<br />
Southern Rangelands Survey, 1995, the system was<br />
revised to a I6 sq-km. grid. This survey used 176<br />
stratum codes, and produced statistics for bath the<br />
wet and dry seasons. A new *'mapw was created from<br />
this data. The system was also redesigned to allow<br />
the co-ordinates of specific sites to be input, and<br />
for these to be "platted1* on a blank mapt An example<br />
is shown in Figure 2.2.5,<br />
Not only the populations of cattle can be shown, as<br />
in figcre 2.2.6., but using the human popularion<br />
fiqures computed from the density of houses, and the<br />
populations of all types of animals, various estimates<br />
of the Cemand for water throughout the region can be<br />
Fsttern cf denape<br />
calculated. Figure 2.2,7. shows ~??e<br />
.- - high &stirnates consuxption: each figure<br />
represents the total estinated demand per day within a<br />
16 sq.km. area, in cubic meters, during the dry<br />
season. Csing low estimates of per capita<br />
consumption, the demznd throughout the region is shown<br />
in Figure 2.2.8.<br />
A more specific profife of an area czn be extracted as<br />
shown in Figure 2.2,9. The location of the village in<br />
this example, Tur Demerre, is shown in Figure 2.2.10<br />
to be <strong>part</strong> of a narrow belt of stratum 44 stretching<br />
from the northeast. Strata 44 and 45 are to the<br />
northwest: stratum 61, and beyfind it, 71, are to the