For example, users can add vector data (e.g., GeoJSON, Shapefile, KML, GeoDataFrame) and raster data (e.g., GeoTIFF, Cloud Optimized GeoTIFF [COG]) to the map with a few clicks (see Figure 1). Users can also perform geospatial analysis using the WhiteboxTools GUI with 468 geoprocessing tools directly within the map interface (see Figure 2).

It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, JupyterLab, and marimo.

We will explore various techniques to display vector and raster data, create legends and colorbars to customize the visual appearance of maps, and leverage interactive features for enhanced exploration and analysis.

The Map class inherits ipyleaflet.Map. The arguments you can pass to the Map can be found at https://ipyleaflet.readthedocs.io/en/latest/api_reference/map.html. By default, the Map will add OpenStreetMap as the basemap.

To follow along with this chapter, you will need to have leafmap and several optional dependencies installed. If you have already followed ch1:install - Installing leafmap, then you should already have a conda environment with all the necessary packages installed.

In this chapter, we will introduce the leafmap Python package for interactive visualization and analysis of geospatial data. We will demonstrate how to use it to create interactive maps using different mapping backends and change basemaps interactively.

4 days ago · Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, JupyterLab, and marimo.

Introducing the leafmap Python package for interactive mapping. Uncomment the following line to install leafmap if needed. leafmap has four plotting backends: folium, ipyleaflet, here-map, and kepler.gl. Note that the backends do not offer equal functionality.

Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, JupyterLab, and marimo.

Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, and JupyterLab.