Python library for fast, interactive geospatial vector data visualization in Jupyter.
Project description
lonboard
Python library for fast, interactive geospatial vector data visualization in Jupyter.
3 million points rendered from a geopandas GeoDataFrame in JupyterLab.
Install
pip install lonboard
Get Started
For the simplest rendering, pass geospatial data into the top-level viz function.
import geopandas as gpd
from lonboard import viz
gdf = gpd.GeoDataFrame(...)
viz(gdf)
Under the hood, this delegates to a ScatterplotLayer, PathLayer, or SolidPolygonLayer. Refer to the documentation and examples for more control over rendering.
Documentation
Refer to the documentation at developmentseed.org/lonboard.
Why the name?
This is a new binding to the deck.gl geospatial data visualization library. A "deck" is the part of a skateboard you ride on. What's a fast, geospatial skateboard? A lonboard.
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