Kota Lama · Semarang · Colonial grid
r = 800 m · 36 bin · Footway coverage 1.9% · thin
Kota Lama
Semarang · Colonial grid
A small, dense colonial grid on the edge of the Semarang river.
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
- Orientation entropy
- 3.272nat
- H / H max
- 0.913
- φ orientation-order
- 0.263
- Circuity
- 1.449~465
- Average node degree
- 2.43
- Four-way
- 8.7%
- Dead-end
- 27.6%
- Intersection density
- 219 /km²
- Median segment length
- 39 m
- Network length
- 44.9 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. 465 pairs sampled · 25 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
- 713
- Edges
- 868
- Intersections (degree ≥ 3)
- 441
- Disc area
- 2.01 km²
- Intersection density
- 219 /km²
- Rose weighted length
- 89.8 km
- Per-edge circuity
- 1.022
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
- Orientation entropy
- 3.247nat
- H / H max
- 0.906
- φ orientation-order
- 0.283
- Circuity
- 1.402~472
- Average node degree
- 2.57
- Four-way
- 9.5%
- Dead-end
- 21.2%
- Intersection density
- 296 /km²
- Median segment length
- 35 m
- Network length
- 52.2 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 · 10 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
- 872
- Edges
- 1121
- Intersections (degree ≥ 3)
- 596
- Disc area
- 2.01 km²
- Intersection density
- 296 /km²
- Rose weighted length
- 104.5 km
- Per-edge circuity
- 1.029
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.
Both roses overlaid
- Drive
- Walk
- Both
DeltaWalk − Drive
- Orientation entropy
- −0.025
- H / H max
- −0.007
- φ orientation-order
- +0.020
- Circuity
- −0.047
- Average node degree
- +0.14
- Four-way
- +0.8%
- Dead-end
- −6.4%
- Intersection density
- +77
- Median segment length
- −4
- Network length
- +7.3
What walking adds
- Walk-only length
- 7.3 km
- Share of walking network
- 14.1%
Rose as a table — 36 bins — Kota Lama
| Bin | Bearing range | P — Drive | P — Walk | −P·ln P | −P·ln P |
|---|---|---|---|---|---|
| 00 | 355°–5° | 6.80% | 7.19% | 0.1829 | 0.1893 |
| 01 | 5°–15° | 0.90% | 0.92% | 0.0422 | 0.0432 |
| 02 | 15°–25° | 1.21% | 1.28% | 0.0534 | 0.0558 |
| 03 | 25°–35° | 0.32% | 0.32% | 0.0184 | 0.0182 |
| 04 | 35°–45° | 1.05% | 0.97% | 0.0479 | 0.0449 |
| 05 | 45°–55° | 2.01% | 1.87% | 0.0786 | 0.0743 |
| 06 | 55°–65° | 3.02% | 2.77% | 0.1058 | 0.0994 |
| 07 | 65°–75° | 4.97% | 4.81% | 0.1492 | 0.1461 |
| 08 | 75°–85° | 6.13% | 6.11% | 0.1712 | 0.1708 |
| 09 | 85°–95° | 6.73% | 7.46% | 0.1817 | 0.1936 |
| 10 | 95°–105° | 2.38% | 2.17% | 0.0889 | 0.0832 |
| 11 | 105°–115° | 1.21% | 1.15% | 0.0532 | 0.0513 |
| 12 | 115°–125° | 0.49% | 0.45% | 0.0260 | 0.0242 |
| 13 | 125°–135° | 0.71% | 0.69% | 0.0353 | 0.0342 |
| 14 | 135°–145° | 0.81% | 0.79% | 0.0389 | 0.0382 |
| 15 | 145°–155° | 1.97% | 1.81% | 0.0773 | 0.0727 |
| 16 | 155°–165° | 4.53% | 4.33% | 0.1401 | 0.1359 |
| 17 | 165°–175° | 4.75% | 4.91% | 0.1448 | 0.1481 |
| 18 | 175°–185° | 6.80% | 7.19% | 0.1829 | 0.1893 |
| 19 | 185°–195° | 0.90% | 0.92% | 0.0422 | 0.0432 |
| 20 | 195°–205° | 1.21% | 1.28% | 0.0534 | 0.0558 |
| 21 | 205°–215° | 0.32% | 0.32% | 0.0184 | 0.0182 |
| 22 | 215°–225° | 1.05% | 0.97% | 0.0479 | 0.0449 |
| 23 | 225°–235° | 2.01% | 1.87% | 0.0786 | 0.0743 |
| 24 | 235°–245° | 3.02% | 2.77% | 0.1058 | 0.0994 |
| 25 | 245°–255° | 4.97% | 4.81% | 0.1492 | 0.1461 |
| 26 | 255°–265° | 6.13% | 6.11% | 0.1712 | 0.1708 |
| 27 | 265°–275° | 6.73% | 7.46% | 0.1817 | 0.1936 |
| 28 | 275°–285° | 2.38% | 2.17% | 0.0889 | 0.0832 |
| 29 | 285°–295° | 1.21% | 1.15% | 0.0532 | 0.0513 |
| 30 | 295°–305° | 0.49% | 0.45% | 0.0260 | 0.0242 |
| 31 | 305°–315° | 0.71% | 0.69% | 0.0353 | 0.0342 |
| 32 | 315°–325° | 0.81% | 0.79% | 0.0389 | 0.0382 |
| 33 | 325°–335° | 1.97% | 1.81% | 0.0773 | 0.0727 |
| 34 | 335°–345° | 4.53% | 4.33% | 0.1401 | 0.1359 |
| 35 | 345°–355° | 4.75% | 4.91% | 0.1448 | 0.1481 |
| Sum = H | 3.272 | 3.247 | |||
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.
Download this site’s data (JSON, ODbL)
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.