Overview

Teaching: 20 min
Exercises: 0 min

Questions

• How to train a Machine Learning model with Categorical output?

Objectives

• Learn different ML Supervised Learning with Categorical output

6 Other libraries for Geospatial data analytics

6.1 Folium

Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the leaflet.js library. Manipulate your data in Python, then visualize it in on a Leaflet map via folium.

folium makes it easy to visualize data that’s been manipulated in Python on an interactive leaflet map. It enables both the binding of data to a map for choropleth visualizations as well as passing rich vector/raster/HTML visualizations as markers on the map.

The library has a number of built-in tilesets from OpenStreetMap, Mapbox, and Stamen, and supports custom tilesets with Mapbox or Cloudmade API keys. folium supports both Image, Video, GeoJSON and TopoJSON overlays.

Contents

Install

pip install folium

Basemap

Get your current location

import geocoder
myloc = geocoder.ip('me')
my_lat,my_lon=myloc.latlng

Plotting regular map

#Regular map
map = folium.Map(location=[my_lat,my_lon])
map

Zooming in

#Regular map
map = folium.Map(location=[my_lat,my_lon], zoom_start=15)
map

Stamen Terrain

map = folium.Map(location = [my_lat,my_lon], tiles = "Stamen Terrain", zoom_start = 9)
map

OpenStreetMap

map = folium.Map(location = [my_lat,my_lon], tiles='OpenStreetMap' , zoom_start = 10)
map

Stamen Toner

map = folium.Map(location = [my_lat,my_lon], tiles='Stamen Toner', zoom_start = 10)
map

Plotting with Markers

m = folium.Map(location=[45.372, -121.6972], zoom_start=12, tiles="Stamen Terrain")

tooltip = "Click me!"

folium.Marker(
    [45.3288, -121.6625], popup="<i>Mt. Hood Meadows</i>", tooltip=tooltip
).add_to(m)
folium.Marker(
    [45.3311, -121.7113], popup="<b>Timberline Lodge</b>", tooltip=tooltip
).add_to(m)

m

More information on using folium

Key Points

• Folium