Visualize Data¶
In [1]:
Copied!
import geolime as geo
from pyproj import CRS
import plotly.io as pio
pio.renderers.default = "sphinx_gallery"
import geolime as geo
from pyproj import CRS
import plotly.io as pio
pio.renderers.default = "sphinx_gallery"
In [2]:
Copied!
dh = geo.datasets.load("rocklea_dome/dh_hyper.geo")
dh = geo.datasets.load("rocklea_dome/dh_hyper.geo")
Spatial Visualization¶
Visualize Data With No Coordinate Reference System (CRS)¶
XY Plot¶
In [3]:
Copied!
geo.plot(dh, property="Fe_pct", agg_method="mean", width=400, height=650)
geo.plot(dh, property="Fe_pct", agg_method="mean", width=400, height=650)
Contour Plot¶
In [4]:
Copied!
geo.contour_plot(dh, property="Fe_pct", fill_contour=True, width=400, height=650)
geo.contour_plot(dh, property="Fe_pct", fill_contour=True, width=400, height=650)
In [5]:
Copied!
geo.contour_plot(dh, property="Fe_pct", fill_contour=False, width=400, height=650)
geo.contour_plot(dh, property="Fe_pct", fill_contour=False, width=400, height=650)
Visualize Data With Coordinate Reference System (CRS)¶
In [6]:
Copied!
geo.plot_2d(
dh,
property="Fe_pct",
agg_method="mean",
crs=CRS("EPSG:20350"),
width=400,
height=650
)
geo.plot_2d(
dh,
property="Fe_pct",
agg_method="mean",
crs=CRS("EPSG:20350"),
width=400,
height=650
)