Operating System: Jupyter Notebook Docker image running under Windows 11
Description
Running the following code returns 2-dimensional GeoJSON. We want elevation data to be included, for example to render 3D visualisations.
import json
from IPython.display import GeoJSON
# NSHM libraries ..
import nzshm_model as nm
import solvis
# we need a matching source_logic_tree (CBC do we really ???)
slt = nm.get_model_version("NSHM_v1.0.4").source_logic_tree
# load the composite_solution using the source logic tree
csol = solvis.CompositeSolution.from_archive("../NSHM_v1.0.4_CompositeSolution.zip", slt)
# get the the Crustal FaultSystemSolution
fss = csol._solutions['CRU']
gj = json.loads(fss.fault_surfaces().to_json())
This is sample code from solvis-jupyterlab
We need a decision on whether to include elevation as depth in km as is done in openSHA, or as elevation in m as is expected by all 3rd party tools.
chrisbc
commented
3 weeks ago
Description
Running the following code returns 2-dimensional GeoJSON. We want elevation data to be included, for example to render 3D visualisations.
This is sample code from
solvis-jupyterlabWe need a decision on whether to include elevation as
depth in kmas is done inopenSHA, or aselevation in mas is expected by all 3rd party tools.See https://github.com/GNS-Science/solvis/tree/feature/46-3d-geojson for a partial solution.