more README updates
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README.md
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README.md
@ -2,25 +2,31 @@ Wang–Müller algorithm in PostGIS
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--------------------------------
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This is a work-in-progress implementation following "Line generalization based
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on analysis of shape characteristics" by Wang and Müller, 1998 paper.
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on analysis of shape characteristics" by Wang and Müller, 1998.
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Structure
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---------
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Detailed implementation description: `mj-msc.tex`. It is describing in detail
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what is implemented and what isn't, and why.
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There will be 2 deliverables from this folder:
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Algorithm itself: `wm.sql`. This is the main file you probably want to look at.
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- `wm.sql`, the implementation.
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- paper `mj-msc-full.pdf`, a MSc thesis, explaining the whole thing.
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Synthetic tests are in `tests.sql`. They are exercising various pieces of the
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algorithm and asserting the results are what expect them to be.
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It contains a few supporting files, notably:
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Tests with real rivers are in `test-rivers.sql`.
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- `tests.sql` for synthetic unit tests.
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- `test-rivers.sql` for tests with real rivers.
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- `Makefile` to glue everything together.
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- `layer2img.py` converts a PostGIS layer to an embeddable image.
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- `init.sql` initializes PostGIS database for running the tests.
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- `rivers.sql` is an OpenStreetMap snapshot of select rivers (`Makefile`
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contains code to update them).
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- ... and a few more files to build the paper.
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`Makefile` glues everything together.
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Running it
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----------
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Executing the algorithm
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-----------------------
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`make help` lists the most interesting commands for humans. As of writing:
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```
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$ make help
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@ -39,7 +45,7 @@ To execute the algorithm, run:
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- `make test` for tests with synthetic data.
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- `make test-rivers` for tests with real rivers. You may adjust the rivers and
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data source (e.g. use a different country instead of Lithuania) by changing
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the `Makefile` and the test files.
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the `Makefile` and the test files. Left as an exercise for the reader.
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Building the paper (pdf)
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------------------------
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@ -50,9 +56,10 @@ $ make -j$(nproc) mj-msc-full.pdf
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`mj-msc.tex` results in `mj-msc-full.pdf`, which will be at some point
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published. It needs quite a few dependencies, including a functioning Docker
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environment.
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environment, postgresql client, geopandas, and a pretty complete LaTeX
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installation.
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License
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-------
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GPL 2.0 or later. Same as QGIS and PostGIS.
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Same as QGIS and PostGIS: GPL 2.0 or later.
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