Is the receivers::Delaunay_grid function very very slow?

[mshmoon]

NoiseModelling version
4.0.2

Describe the bug
when I use the receivers::Delaunay_grid, I found it is very very slow

To Reproduce
Steps to reproduce the behavior:

1. load BUILDINGS, ROADS and GROUND_TYPE, POINT_SOURCE(Official provided files)
2. Fill the two following mandatory parameters in receivers::Delaunay_grid function:
   Source table name : POINT_SOURCE
   Buildings table name : BUILDINGS
3. click run process
4. I see noisemodelling will compute 16777216 times for delaunay, very very slow

It looks like will cost several days time

[gpetit]

Hi,
Can you give us more details, in particular which tutorial you used ? Are you talking about this one ?

[pierromond]

You probably put a veryyyyy short propagation distance? Did you change some default parameters ?

[gpetit]

Ok. I guess you followed the tutorial Noisemap from point source ?
If so, I just repeat the exercice and I takes less than 1s to produce the triangulation

Maybe your problem comes from the SRID associated to the input files ? This dataset has to be 2154 (french legal one)

[mshmoon]

Hi, Can you give us more details, in particular which tutorial you used ? Are you talking about this one ?

https://noisemodelling.readthedocs.io/en/latest/Noise_Map_From_Point_Source.html
I did it with reference to this example

[mshmoon]

Ok. I guess you followed the tutorial Noisemap from point source ? If so, I just repeat the exercice and I takes less than 1s to produce the triangulation

Maybe your problem comes from the SRID associated to the input files ? This dataset has to be 2154 (french legal one)

Yes, I followed the tutorial

[mshmoon]

french legal

Can you upload your files

[gpetit]

Hi,
I used:

• buildings.shp which is in the folder .../NoiseModelling_4.0.2/data_dir/data/wpsdata/
• Point_Source.geojson, which is in the folder .../NoiseModelling_4.0.2/data_dir/data/wpsdata/TutoPointSourceDirectivity/

If you try with your own dataset, you just have to be sure that both files are in the same (metric) projection system