name: gemgis
description: |
Spatial data processing for geological modelling with GemPy. Use when the agent
needs to: (1) Prepare spatial data for GemPy models, (2) Extract interface
points from geological maps, (3) Process orientations/dip measurements,
(4) Sample DEMs along profiles or cross-sections, (5) Convert between GIS
formats and GemPy inputs, (6) Clip/transform vector/raster data for modeling,
(7) Create model extents from geospatial bounds.
license: MIT
metadata:
version: "1.0.2"
author: Geoscience Skills
tags: '["GIS", "Geospatial", "Data Preparation", "DEM", "Geological Modelling"]'
dependencies: '["gemgis>=1.1.9", "geopandas", "rasterio"]'
complements: '["gempy", "loopstructural", "pyvista"]'
workflow_role: processing
skill_type: domain
GIS contacts and DEM elevations
Use GemGIS to extract geological observations from spatial data. Establish the
horizontal CRS, vertical units/datum, geometry type and missing-data policy
before sampling. Model coordinates must share a projected metre CRS; converting
horizontal coordinates does not transform elevations or their datum.
Extract contact vertices
The following function accepts a single-band DEM already in a metre projected
CRS, with elevations in metres. dem is an open Rasterio dataset, not a path.
GemGIS repeats attributes when a line becomes multiple points: do not overwrite
those attributes using the original feature index.
import gemgis as gg
from rasterio.transform import rowcol
import numpy as np
from pyproj import CRS
def contacts_at_dem(contacts, dem):
crs = CRS.from_user_input(dem.crs)
if (contacts.crs is None or not crs.is_projected or dem.count != 1
or any(not np.isclose(a.unit_conversion_factor, 1.) for a in crs.axis_info[:2])):
raise ValueError('Require a known vector CRS and a single-band metric DEM')
if contacts.empty or not contacts.is_valid.all() or contacts.geometry.has_z.any():
raise ValueError('Require valid nonempty 2D contact geometry')
if 'formation' not in contacts or contacts['formation'].isna().any():
raise ValueError('Formation labels are required')
points = gg.vector.extract_xy(contacts.to_crs(dem.crs))
xy = points[['X', 'Y']].to_numpy()
rows, cols = np.asarray(rowcol(dem.transform, xy[:, 0], xy[:, 1]))
if np.any((rows < 0) | (rows >= dem.height) | (cols < 0) | (cols >= dem.width)):
raise ValueError('Vertices outside DEM')
samples = np.ma.vstack(list(dem.sample(xy, indexes=1, masked=True)))[:, 0]
if np.ma.getmaskarray(samples).any() or not np.isfinite(samples.data).all():
raise ValueError('Missing DEM elevations')
return gg.vector.extract_xyz(gdf=points, dem=dem)[['X', 'Y', 'Z', 'formation']]
Open with with rasterio.open(dem_path) as dem: and call this function while the
dataset is open. Pixel sampling uses the containing cell; it is not bilinear
interpolation. Do not fill NoData or outside-extent samples with zero.
Orientations and helper
Dip is in degrees, 0–90. Output azimuth is dip direction clockwise from DEM grid north, wrapped
to [0, 360). Convert strike with (strike + 90) % 360 only when the source
explicitly follows the right-hand rule. Preserve supplied polarity (+1/−1);
the helper uses +1 only when the column is absent. Never clamp invalid dip.
Declare --azimuth-reference dem-grid for bearings already relative to the DEM
grid, or true-north for geographic bearings. The latter applies local
meridian convergence only on locally conformal projections; other projections
are rejected. Magnetic bearings need a documented declination correction first.
The preparation helper validates these rules,
reprojects vectors to the DEM CRS, converts declared ft elevations to metres,
and writes CSVs plus spatial_metadata.json into a fresh output directory. Its --target-crs is an assertion
that must match the DEM; resample/reproject a raster separately when needed.
python scripts/prepare_gempy_data.py --contacts contacts.gpkg \
--orientations orientations.gpkg --azimuth-reference true-north --dem dem.tif --dem-z-unit m \
--vertical-datum "documented source datum" --output-dir prepared
Resolve this command relative to the installed skill directory. The output
schema uses X/Y/Z and formation, plus dip/azimuth/polarity for orientations;
pass these to the current modelling library's input API rather than assuming
all GemPy versions accept identical keyword arguments.
Conditional operations
Read profiles and extraction for sampled
profiles and orientation conventions. Read CRS, clipping and raster handling
for bounds order, masks, reprojection and provenance. Existing 3D geometry
needs an explicit choice between measured Z and DEM Z before using this helper.
Verification scope
GemGIS 1.1.9, GeoPandas 1.1.4 and Rasterio 1.4.4 were checked with a real
GeoTIFF/GeoPackage fixture: unequal vertex counts and nonconsecutive indices,
CRS conversion, feet elevations, NoData, outside points, orientations and CLI
CSV readback. Synthetic elevations test data handling, not field DEM accuracy
or vertical-datum transformation.
Official GemGIS source,
Rasterio sampling API,
checked 2026-09-14.