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a
b
Core Business
Commercial
Mixed
Residential
Mixed
Residential
HD Res.
LD Res.
Business
Mixed
Infra
Parks
Other
c
d
3
1
SMS
SMS
2.5
0.5
2
1.5
0
1
−0.5
0.5
0
−1
3
1
Calls
Calls
2.5
0.5
2
1.5
0
1
−0.5
0.5
0
−1
2.5
1
Request
Request
2
0.5
1.5
0
1
−0.5
0.5
0
−1
2
1
UL data
UL data
1.5
0.5
1
0
0.5
−0.5
0
−1
2.5
1
DL data
DL data
2
0.5
1.5
0
1
−0.5
0.5
0
−1
Mon
Tue
Wen
Thu
Fri
Sat
Sun
Mon
Tue
Wen
Thu
Fri
Sat
Sun
Fig. 15.8 Hong Kong clusters
.(
a
) Spatial projection of K D 6 clusters, with their interpretation
in the legend (see details in main text). (
b
) Actual land use maps as extracted from census data. (
c
)
Signatures of the clusters in the different components of activity. (
d
) Deviations of the signatures
compared to the whole city signatures displayed on Fig.
15.4
. Colors on the signature plots match
those on the cluster map (
a
), and
gray areas
correspond to zones with no recorded data
during the workdays and a huge weekday-to-weekend activity ratios. The
combination of their small area shares (4-6 % of the cities' area as reported in
Tab le
15.3
) and their large activity share is consistent with a high concentration
of activity and an identification as business cores. This is verified since the red
clusters cover the 'City of London' district, the financial and decisional districts
in New York (e.g., south Manhattan where Wall Street is located), and a large
part of the Central district on Hong Kong Island. The confusion matrices of
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