Hamadi · Jayapura · Kampung kota
r = 800 m · 36 bin · Footway coverage 15.3% · moderate
Hamadi
Jayapura · Kampung kota
Settlement south of Jayapura, pinched between the bay and the ridge. Long residential streets and a thin pedestrian network — a pattern that here means two things at once: its form, and how much of it has been mapped.
Drive
- Orientation entropy
- 3.455nat
- H / H max
- 0.964
- φ orientation-order
- 0.114
- Circuity
- 1.860~415
- Average node degree
- 2.17
- Four-way
- 5.5%
- Dead-end
- 43.4%
- Intersection density
- 64 /km²
- Median segment length
- 42 m
- Network length
- 14.3 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. 415 pairs sampled · 64 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
- 235
- Edges
- 255
- Intersections (degree ≥ 3)
- 129
- Disc area
- 2.01 km²
- Intersection density
- 64 /km²
- Rose weighted length
- 28.5 km
- Per-edge circuity
- 1.067
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
- 3.478nat
- H / H max
- 0.970
- φ orientation-order
- 0.094
- Circuity
- 1.879~408
- Average node degree
- 2.17
- Four-way
- 5.3%
- Dead-end
- 42.0%
- Intersection density
- 71 /km²
- Median segment length
- 44 m
- Network length
- 16.9 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. 408 pairs sampled · 69 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
- 264
- Edges
- 287
- Intersections (degree ≥ 3)
- 143
- Disc area
- 2.01 km²
- Intersection density
- 71 /km²
- Rose weighted length
- 33.7 km
- Per-edge circuity
- 1.077
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
- +0.023
- H / H max
- +0.006
- φ orientation-order
- −0.020
- Circuity
- +0.019
- Average node degree
- +0.00
- Four-way
- −0.2%
- Dead-end
- −1.4%
- Intersection density
- +7
- Median segment length
- +2
- Network length
- +2.6
What walking adds
- Walk-only length
- 2.6 km
- Share of walking network
- 15.3%
Rose as a table — 36 bins — Hamadi
| Bin | Bearing range | P — Drive | P — Walk | −P·ln P | −P·ln P |
|---|---|---|---|---|---|
| 00 | 355°–5° | 2.39% | 2.55% | 0.0892 | 0.0934 |
| 01 | 5°–15° | 2.36% | 2.75% | 0.0885 | 0.0988 |
| 02 | 15°–25° | 2.74% | 4.14% | 0.0986 | 0.1317 |
| 03 | 25°–35° | 2.80% | 2.81% | 0.1001 | 0.1004 |
| 04 | 35°–45° | 5.99% | 5.16% | 0.1686 | 0.1530 |
| 05 | 45°–55° | 1.86% | 1.87% | 0.0740 | 0.0743 |
| 06 | 55°–65° | 2.35% | 2.89% | 0.0881 | 0.1023 |
| 07 | 65°–75° | 1.74% | 1.75% | 0.0705 | 0.0708 |
| 08 | 75°–85° | 1.65% | 1.56% | 0.0677 | 0.0648 |
| 09 | 85°–95° | 3.12% | 2.85% | 0.1082 | 0.1013 |
| 10 | 95°–105° | 3.18% | 3.40% | 0.1098 | 0.1151 |
| 11 | 105°–115° | 1.79% | 2.52% | 0.0720 | 0.0927 |
| 12 | 115°–125° | 2.71% | 2.48% | 0.0978 | 0.0916 |
| 13 | 125°–135° | 7.97% | 6.85% | 0.2015 | 0.1836 |
| 14 | 135°–145° | 2.33% | 2.11% | 0.0876 | 0.0813 |
| 15 | 145°–155° | 1.59% | 1.41% | 0.0657 | 0.0602 |
| 16 | 155°–165° | 1.87% | 1.58% | 0.0743 | 0.0655 |
| 17 | 165°–175° | 1.57% | 1.34% | 0.0653 | 0.0578 |
| 18 | 175°–185° | 2.39% | 2.55% | 0.0892 | 0.0934 |
| 19 | 185°–195° | 2.36% | 2.75% | 0.0885 | 0.0988 |
| 20 | 195°–205° | 2.74% | 4.14% | 0.0986 | 0.1317 |
| 21 | 205°–215° | 2.80% | 2.81% | 0.1001 | 0.1004 |
| 22 | 215°–225° | 5.99% | 5.16% | 0.1686 | 0.1530 |
| 23 | 225°–235° | 1.86% | 1.87% | 0.0740 | 0.0743 |
| 24 | 235°–245° | 2.35% | 2.89% | 0.0881 | 0.1023 |
| 25 | 245°–255° | 1.74% | 1.75% | 0.0705 | 0.0708 |
| 26 | 255°–265° | 1.65% | 1.56% | 0.0677 | 0.0648 |
| 27 | 265°–275° | 3.12% | 2.85% | 0.1082 | 0.1013 |
| 28 | 275°–285° | 3.18% | 3.40% | 0.1098 | 0.1151 |
| 29 | 285°–295° | 1.79% | 2.52% | 0.0720 | 0.0927 |
| 30 | 295°–305° | 2.71% | 2.48% | 0.0978 | 0.0916 |
| 31 | 305°–315° | 7.97% | 6.85% | 0.2015 | 0.1836 |
| 32 | 315°–325° | 2.33% | 2.11% | 0.0876 | 0.0813 |
| 33 | 325°–335° | 1.59% | 1.41% | 0.0657 | 0.0602 |
| 34 | 335°–345° | 1.87% | 1.58% | 0.0743 | 0.0655 |
| 35 | 345°–355° | 1.57% | 1.34% | 0.0653 | 0.0578 |
| Sum = H | 3.455 | 3.478 | |||
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.