GeoViews is a geographic visualisation library for exploring and presenting data associated with spatial locations. It is particularly useful for scientific datasets containing geographic coordinates, gridded measurements and multidimensional environmental information.
The library builds on HoloViews and extends its data-aware plotting approach with geographic coordinate systems and map projections. This allows geographic information to be incorporated into the same compositional plotting workflows used for other forms of scientific data.
GeoViews is well suited to climate research, meteorology, oceanography and other fields where measurements need to be interpreted in their geographic context. It can produce both static and interactive visualisations using supported plotting backends.
This is free and open source software.
Key Features
- Geographic visualisation using the HoloViews object model.
- Support for geographic coordinate reference systems and map projections.
- Integration with Cartopy for projection handling and geographic features.
- Plot geographic points, paths, polygons and other spatial objects.
- Overlay coastlines, borders, land areas and other geographic features.
- Use geographic tile layers as backgrounds for spatial data.
- Work with multidimensional gridded datasets.
- Integration with xarray for labelled scientific data.
- Support for geometries represented by Shapely and compatible spatial data structures.
- Use GeoPandas data for geographic visualisation workflows.
- Combine multiple geographic elements through overlays and layouts.
- Create static maps using the matplotlib plotting backend.
- Develop interactive geographic views using Bokeh.
- Customise colours, axes, geographic extents and plot annotations.
- Reproject compatible spatial data into selected geographic coordinate systems.
- Integrate with Datashader for supported large geographic datasets.
- Use interactive selections and navigation through compatible plotting backends.
Website: geoviews.org
Support:
Developer: HoloViz developers
License: BSD 3-Clause ‘New’ or ‘Revised’ License
GeoViews is written in Python. Learn Python with our recommended free books and free tutorials.
Related Software
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|---|---|
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| Bokeh | Elegant, concise construction of versatile graphics |
| Dash | Python framework for building analytical web applications |
| seaborn | Python visualization library based on matplotlib |
| Plotly | Interactive, browser-based graphing library for Python |
| VisPy | Visualize massive datasets in real time |
| Vega-Altair | Declarative Visualization in Python |
| plotnine | Grammar of graphics for Python |
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| Vaex | Fast visualization of big data |
| PyVista | 3D plotting and mesh analysis |
| folium | Visualize data in a Leaflet map |
| HoloViews | Make Data Analysis and Visualization Seamless |
| Datashader | Generates aggregate arrays and representations of them as images |
| yt | Multi-code Toolkit for Analyzing and Visualizing Volumetric Data |
| Glumpy | Intuitive interface between NumPy and modern OpenGL |
| GeoViews | Explore and visualize geographical, meteorological, and oceanographic datasets |
| Pygal | Dynamic SVG charting library |
| Glue | Multi-dimensional linked-data exploration |
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