Usage

You can try out leafmap by using Goolge Colab () or Binder () without having to install anything on your computer.

Launch Jupyter notebook

conda activate geo
jupyter notebook

Use ipyleaflet plotting backend

import leafmap

Use folium plotting backend

import leafmap.foliumap as leafmap

Create an interactive map

m = leafmap.Map(center=(40, -100), zoom=4)
m

Customize map height

m = leafmap.Map(height="450px")
m

Set control visibility

m = leafmap.Map(draw_control=False, measure_control=False, fullscreen_control=False, attribution_control=True)
m

Change basemaps

m = leafmap.Map(google_map="TERRAIN")
m.add_basemap("HYBRID")
m

Add XYZ tile layer

m = leafmap.Map()
m.add_tile_layer(url="https://mt1.google.com/vt/lyrs=y&x={x}&y={y}&z={z}", name="Google Satellite", attribution="Google")
m

Add WMS tile layer

m = leafmap.Map()
naip_url = 'https://services.nationalmap.gov/arcgis/services/USGSNAIPImagery/ImageServer/WMSServer?'
m.add_wms_layer(url=naip_url, layers='0', name='NAIP Imagery', format='image/png', shown=True)
m

Use HERE Map Widget for Jupyter plotting backend

Prerequisites

• A HERE developer account, free and available under HERE Developer Portal
• An API key from the HERE Developer Portal
• Export API key into environment variable HEREMAPS_API_KEY

export HEREMAPS_API_KEY=YOUR-ACTUAL-API-KEY

import leafmap.heremap as leafmap

Create an interactive map

import os
api_key = os.environ.get("HEREMAPS_API_KEY") # read api_key from environment variable.
m = leafmap.Map(api_key=api_key, center=(40, -100), zoom=4)
m