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Figure 1 Additions to point data for a) commercial and b)
residential category
The volume of data is an important factor to consider, as an area
may have regular updates, but if the overall data volume
remains low then the data may not be considered as of high
value to National Mapping Agencies.
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a) b)
Figure 5 Comparison of additions to different thematic classes
for a) commercial and b) commercial versus residential
The geometries in commercial and residential categories were
further investigated with respect to their semantics. Figure 5
shows additions with respect to the semantics. Figure 5 shows
additions in several other categories. The vertical axis in Figure
5a shows the count of additions. The test areas are represented
by the same bar colours as Figure 4. The horizontal axis shows
the amenities, ranged from Banking (1), Health (2), Education
(3), Religious (4), Leisure (5), Safety (6) and Postal (7).
Figure 5a clearly shows that contributions for commercial areas
to the class Leisure were the highest, second was Banking and
third Religious. All the test areas had the most additions in
Leisure with the exception of Korsten that had the same
addition count for Education and Leisure. The second highest
count of additions varied per area. Cape Town and
Johannesburg's second highest count was Banking. Durban's
second highest count was in Baking and Health.
Figure 5b shows the count of difference in additions between
commercial (red) and residential (green) areas (vertical axis).
The horizontal axis shows the amenities, ranged from Banking
(1), Health (2), Education (3), Religious (4), Leisure (5), Safety
(6) and Postal (7). The highest count per category for
commercial areas was: Leisure, Banking and Religious. In
residential areas it was: Religious and Leisure. Thereafter
Banking, Health and Education categories had the same count.
Deletions
Deletions for all areas were generally low with a few
exceptions. This may be a good sign, because it could mean that
as data has been added to the OSM database over the years, the
majority of contributions have been deemed as being correct.
This cannot be said for certain as OSM does not have an official
quality control process. Mistakes are identified by the users
only.
Modifications
The amount of modifications is slightly higher than the
deletions, but generally the total modifications contributed are
low for all test areas when compared to the data that has not
changed between epochs. This can be interpreted as meaning
the features were correctly added the first time. It can also be
interpreted as meaning that the features didn't change very
much between epochs which for most features will be the case.
4.2 Lines
Additions
The same tests arcas were used to investigate the change in line
geometry. Figure 6 illustrates the results of the additions to line
geometry. The vertical axis provides the length (in kilometres)
of lines added or deleted between epochs and the horizontal axis
shows the epochs. Many additions were made in the early days.
This could mean that line data was pulled from various sources
(including existing data sets) to create the initial base.
Contributions for Cape Town was high in 2007 (epoch 1-2), but
decreased thereafter and remained low until early 2010 (epoch
7) However, between late 2010 and early 2011 (epoch 7-8)
additions increased significantly. This is significant as epoch 7
is before the 2010 FIFA Soccer World Cup and 8 is
immediately after that. In figure 6a additions in Durban had a
slow start, but suddenly increased substantially in 2008 (epoch
3-4) and then another big increase between late 2009 and early
2010 (epoch 6-7). Johannesburg also had a significant increase
like Durban between late 2007 and early 2008 (epoch 2-3) and
then another lower increase between early 2009 and late 2010
(epoch 5-7). Korsten had the lowest volume of increase in
additions for the commercial category with two less significant
increases between late 2008 and early 2009 (epoch 4-5) and
between late 2010 and early 2011 (epoch 8-9).
In Figure 6b additions to residential areas were gradual with a
rapid increase for Middleburg in 2010 (epoch 7-8) and also for
Universitas between late 2010 and early 2011 (epoch 8-9).
Both Brackenfell and Kimberley had very low additions in
general, with a minor increase for both areas between late 2008
and early 2009 (epoch 4-5).
a) b)
Figure 6 Additions to line data for a) commercial and b)
residential category
e
a) b)
Figure 7 Deletion to line data for a) commercial and b)
residential category
521