Kampung Lette

Makassar · Kampung kota

A coastal kampung in northern Makassar, narrow lorong between blocks of houses.

Read the two columns below as two readings of the same data rather than as a gap that can yet be concluded from. The gang here are not mapped densely enough for that.

Drive

Fig. 1 · r = 800 m — The drivable network inside the sampling disc. Uniform ink, no road-class hierarchy, no basemap: the shape is the subject.

Drive H 2.776 · φ 0.60

Orientation entropy: 2.776nat
H / H max: 0.775
φ orientation-order: 0.600
Circuity: 1.391~469
Average node degree: 2.41
Four-way: 7.9%
Dead-end: 30.3%
Intersection density: 197 /km²
Median segment length: 45 m
Network length: 41.9 km

H is in nats — the natural-log unit of information. That is why its maximum is ln 36 ≈ 3.584 rather than log₂ 36.

Circuity is an estimate: network distance over straight-line distance, averaged across a seeded sample of node pairs rather than across all of them. 469 pairs sampled · 27 pairs unreachable Pairs with no route between them at all are excluded from the mean. A large count means this network is fragmented — a signal about the data, not about the place.

Where these come from

Nodes: 623
Edges: 752
Intersections (degree ≥ 3): 396
Disc area: 2.01 km²
Intersection density: 197 /km²
Rose weighted length: 83.8 km
Per-edge circuity: 1.027

The intermediate values the column above is built from. Intersection density is the intersection count over the disc area; the weighted length is the denominator that turns a rose bar into a share. Two different circuity measures: the per-edge one compares each segment against its own chord, the sampled one compares distances between junctions. The first measures how much streets bend, the second how far out of your way the network takes you.

Walk

Fig. 2 · r = 800 m — The walkable network at the same centre, the same disc, the same extract. Every difference from the drawing beside it is the tag mapping, not a different place.

Walk H 2.762 · φ 0.61

Orientation entropy: 2.762nat
H / H max: 0.771
φ orientation-order: 0.608
Circuity: 1.404~472
Average node degree: 2.43
Four-way: 8.0%
Dead-end: 29.7%
Intersection density: 215 /km²
Median segment length: 45 m
Network length: 44.6 km

H is in nats — the natural-log unit of information. That is why its maximum is ln 36 ≈ 3.584 rather than log₂ 36.

Circuity is an estimate: network distance over straight-line distance, averaged across a seeded sample of node pairs rather than across all of them. 472 pairs sampled · 21 pairs unreachable Pairs with no route between them at all are excluded from the mean. A large count means this network is fragmented — a signal about the data, not about the place.

Where these come from

Nodes: 674
Edges: 818
Intersections (degree ≥ 3): 432
Disc area: 2.01 km²
Intersection density: 215 /km²
Rose weighted length: 89.1 km
Per-edge circuity: 1.028

Both roses overlaid

Drive H 2.776 · φ 0.60Walk H 2.762 · φ 0.61

Each street segment’s bearing goes into one of 36 bins of 10°, weighted by length: a 500 m road counts ten times a 50 m gang. Bar length is the share of network length running that way, not a count of segments. The rose is always 180°-symmetric, because one segment traversed both ways differs by exactly 180°. Boeing 2019 §3

Drive
Walk
Both

DeltaWalk − Drive

Orientation entropy: −0.013
H / H max: −0.004
φ orientation-order: +0.008
Circuity: +0.013
Average node degree: +0.01
Four-way: +0.1%
Dead-end: −0.7%
Intersection density: +18
Median segment length: −1
Network length: +2.6

What walking adds

Walk-only length: 2.6 km
Share of walking network: 5.9%

Fig. 3 · r = 800 m — Ink: the edges that exist only in the walking network. Hairline: the network both modes share. Membership is decided by the tag mapping — an edge counts as walk-only when the OSM way it came from is not admitted to the driving network.

Rose as a table — 36 bins — Kampung Lette

Share of network length per 10° bearing bin, for drive and walk.
Bin	Bearing range	P — Drive	P — Walk	−P·ln P	−P·ln P
00	355°–5°	5.58%	5.81%	0.1611	0.1654
01	5°–15°	1.24%	1.23%	0.0546	0.0540
02	15°–25°	0.28%	0.28%	0.0163	0.0165
03	25°–35°	0.32%	0.33%	0.0184	0.0188
04	35°–45°	0.30%	0.28%	0.0172	0.0164
05	45°–55°	0.07%	0.08%	0.0049	0.0056
06	55°–65°	0.13%	0.12%	0.0086	0.0082
07	65°–75°	3.06%	2.93%	0.1066	0.1034
08	75°–85°	11.16%	11.41%	0.2447	0.2476
09	85°–95°	7.92%	7.69%	0.2008	0.1973
10	95°–105°	0.96%	0.93%	0.0447	0.0436
11	105°–115°	1.13%	1.08%	0.0508	0.0491
12	115°–125°	0.24%	0.23%	0.0142	0.0141
13	125°–135°	0.22%	0.21%	0.0135	0.0128
14	135°–145°	0.29%	0.29%	0.0167	0.0171
15	145°–155°	0.25%	0.23%	0.0149	0.0142
16	155°–165°	4.66%	4.41%	0.1430	0.1376
17	165°–175°	12.19%	12.45%	0.2566	0.2594
18	175°–185°	5.58%	5.81%	0.1611	0.1654
19	185°–195°	1.24%	1.23%	0.0546	0.0540
20	195°–205°	0.28%	0.28%	0.0163	0.0165
21	205°–215°	0.32%	0.33%	0.0184	0.0188
22	215°–225°	0.30%	0.28%	0.0172	0.0164
23	225°–235°	0.07%	0.08%	0.0049	0.0056
24	235°–245°	0.13%	0.12%	0.0086	0.0082
25	245°–255°	3.06%	2.93%	0.1066	0.1034
26	255°–265°	11.16%	11.41%	0.2447	0.2476
27	265°–275°	7.92%	7.69%	0.2008	0.1973
28	275°–285°	0.96%	0.93%	0.0447	0.0436
29	285°–295°	1.13%	1.08%	0.0508	0.0491
30	295°–305°	0.24%	0.23%	0.0142	0.0141
31	305°–315°	0.22%	0.21%	0.0135	0.0128
32	315°–325°	0.29%	0.29%	0.0167	0.0171
33	325°–335°	0.25%	0.23%	0.0149	0.0142
34	335°–345°	4.66%	4.41%	0.1430	0.1376
35	345°–355°	12.19%	12.45%	0.2566	0.2594
Sum = H				2.776	2.762

The last column is each bin’s term in H = −Σ P(i)·ln P(i). Add the thirty-six of them and you get the H printed under the rose. An empty bin contributes zero.

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Data jalan © OpenStreetMap contributors, ODbL 1.0. Basis data turunan ini ditawarkan dengan lisensi yang sama. · Boeing, G. 2019. Urban Spatial Order: Street Network Orientation, Configuration, and Entropy. Applied Network Science 4(1):67.