The second chapter: create an interactive map (2.1 2.3)

2.1. Introduction

There are a number of Python packages available online for interactive mapping and geospatial analysis [Wu, 2021].Different packages have different APIs for creating maps and visualizing data, which can be a hindrance for beginners.Geemap provides a unified API for creating interactive maps and visualizing data, making it easy to switch plotting backends with just one line of code.

In this chapter, we'll cover the basics and keyboard shortcuts of Jupyter notebooks.Then, we'll learn how to validate Earth Engine.Importantly, we'll learn how to create an interactive map using one of the six plotting backends.Finally, we'll cover a practical example of adding a basemap to an interactive map.There are hundreds of basemaps available that can be easily added to an interactive map with just a single line of code.

2.2. Technical Requirements

Through this chapter, you will need to install geemap and several optional dependencies such as keplergl, pydeck, plotly and heremap.If you have followed Chapter 1 - Introducing GEE and Geemap, you should already have a conda environment with these packages installed.Otherwise, you need to create a new conda environment and install pygis using the following command, which will automatically install geemap and allNecessary dependencies&#