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Motiejus Jakštys 2021-05-20 22:08:30 +03:00 committed by Motiejus Jakštys
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@ -3,20 +3,19 @@ Wang–Müller line generalization algorithm in PostGIS
This is Wang–Müller line generalization algorithm implementation in PostGIS.
Following "Line generalization based on analysis of shape characteristics" by
the same author, 1998.
the same authors, 1998.
Status
------
It mostly works. Read `mj-msc-full.pdf` for visual examples and possible
gotchas.
Mostly works. Read `mj-msc-full.pdf` for visual examples and possible gotchas.
![line simplification example](https://raw.githubusercontent.com/motiejus/wm/main/salvis.png)
Structure
---------
There are be 2 deliverables:
There are 2 main deliverables:
- `wm.sql`, the implementation.
- paper `mj-msc-full.pdf`, a MSc thesis, explaining it.
@ -59,29 +58,25 @@ To execute the algorithm, run:
N.B. the `make test-rivers` fails (see `test-rivers.sql`), because with higher
`dhalfcircle` values, the unionized river (`salvis`) is going on top of itself,
making the resulting geometry invalid.
making the resulting geometry invalid during the process.
Building the paper (pdf)
------------------------
```
# make -j$(nproc) mj-msc-full.pdf
# make -j mj-msc-full.pdf
```
`mj-msc.tex` results in `mj-msc-full.pdf`, which will be at some point
published to this repo. It needs quite a few dependencies, including a
functioning Docker environment, postgresql client, geopandas, pygments,
osm2pgsql, poppler, and a "quite extensive" LaTeX installation. Tested on
Debian 11.
`in-container` script may be helpful if the above sounds like too much.
`mj-msc.tex` results in `mj-msc-full.pdf`. This step needs quite a few
or a container: see `Dockerfile` for dependencies or `in-container` to run
it all in the container.
Contributing
------------
This repository will soon be frozen and does not accept contributions. Please
fork it. If fork has improved the algorithm substantially, feel free to ping
me, I will link to it in this README.
This repository does not accept contributoins. Please fork it. If a fork has
improved the algorithm substantially, you are welcome to ping me, I will link
to it in this README.
Credit
------