Switch to animated hero image (#423)

Author: kylebarron

README.md

@@ -16,21 +16,21 @@
 
 A Python library for fast, interactive geospatial vector data visualization in Jupyter.
 
-Building on cutting-edge technologies like [GeoArrow](https://github.com/geoarrow/geoarrow) and [GeoParquet](https://github.com/opengeospatial/geoparquet) in conjunction with [GPU-based map rendering](https://deck.gl/), lonboard aims to enable visualizing large geospatial datasets interactively through a simple interface.
+Building on cutting-edge technologies like [GeoArrow](https://github.com/geoarrow/geoarrow) and [GeoParquet](https://github.com/opengeospatial/geoparquet) in conjunction with [GPU-based map rendering](https://deck.gl/), Lonboard aims to enable visualizing large geospatial datasets interactively through a simple interface.
 
-![](assets/hero-image.jpg)
+![](assets/hero-animated.gif)
 
-<p align="center">3 million points rendered from a geopandas <code>GeoDataFrame</code> in JupyterLab.</p>
+<p align="center">3 million points rendered from a GeoPandas <code>GeoDataFrame</code> in JupyterLab. <a href="https://developmentseed.org/lonboard/latest/examples/internet-speeds/" target="_blank"> Example notebook</a>.</p>
 
 ## Install
 
-To install lonboard using pip:
+To install Lonboard using pip:
 
 ```
 pip install lonboard
 ```
 
-Lonboard is on [conda-forge](https://anaconda.org/conda-forge/lonboard) and can be installed using [conda](https://docs.conda.io), [mamba](https://mamba.readthedocs.io/), or [pixi](https://pixi.sh/). To install lonboard using conda:
+Lonboard is on [conda-forge](https://anaconda.org/conda-forge/lonboard) and can be installed using [conda](https://docs.conda.io), [mamba](https://mamba.readthedocs.io/), or [pixi](https://pixi.sh/). To install Lonboard using conda:
 
 ```
 conda install -c conda-forge lonboard