Geographic visualizations for HoloViews
GeoViews is a Python library that makes it easy to explore and visualize geographical, meteorological, and oceanographic datasets, such as those used in weather, climate, and remote sensing research.
GeoViews is built on the
library for building flexible visualizations of multidimensional data. GeoViews adds a family of geographic plot types based on the
library, plotted using either the
packages. Each of the new
plot types is a new HoloViews
that has an associated geographic projection based on
objects, each of which can easily be overlaid in the same plots. E.g. an object with temperature data can be overlaid with coastline data using an expression like
gv.Image(temperature) * gv.Feature(cartopy.feature.COASTLINE)
can also be freely combined in layouts with any other HoloViews
, making it simple to make even complex multi-figure layouts of overlaid objects.
With GeoViews, you can now work easily and naturally with large, multidimensional geographic datasets, instantly visualizing any subset or combination of them, while always being able to access the raw data underlying any plot. Here's a simple example:
import geoviews as gv import geoviews.feature as gf import xarray as xr from cartopy import crs gv.extension('bokeh', 'matplotlib')