Layered Maps
Explore how to create layered maps by overlaying multiple spatial datasets using GeoPandas and Matplotlib. Understand the importance of coordinate reference systems for alignment, learn to control layer order, and apply this technique to real-world examples like mapping North American railroads or highlighting demographic patterns in Chicago. This lesson equips you with skills to synthesize diverse geospatial information into insightful composite maps.
We'll cover the following...
Introduction
In GIS data visualization, one technique that stands out as particularly powerful is the ability to overlay, or superpose, multiple layers of information to form a composite map.
This method allows us to synthesize diverse spatial data, consequently, deriving new insights and painting a comprehensive picture of the subject at hand. For example, by overlaying a road map, a population density layer, and a layer of public amenities, we could gain a nuanced understanding of urban planning challenges and opportunities.
The strength of GIS, and by extension GeoPandas, lies in its inherent ability to manage the integration of diverse spatial data seamlessly. Drawing parallels to the traditional art of cartography where layers of ink are ...