Creating and Editing GIS Data
In the previous chapter, we embarked on an exciting journey exploring the foundational Python algorithms that form the bedrock of geospatial analysis. We delved into the intricacies of these building block functions, understanding their role in the larger context of GIS. Now, as we turn the page to this chapter, we’re ready to take the next step in our learning journey.
In this chapter, we’re going to dive deeper into the practical applications of Python in the realm of GIS. We’ll explore how Python can be used not just to understand and analyze GIS data but also to create and edit it. We’ll learn how to manipulate data to suit our specific needs, a skill that’s crucial in the field of geospatial analysis. But that’s not all. We’ll also delve into the exciting world of map creation. Using Python, we’ll learn how to create visually compelling and informative maps that can help us better understand...
