From the course: Geospatial Data Analytics Essential Training
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What are geometries? - Python Tutorial
From the course: Geospatial Data Analytics Essential Training
What are geometries?
- [Instructor] Previously, we learned that the most common way of storing, manipulating, and analyzing geospatial data in Python is through GeoPandas. We also learned that GeoPandas directly stores geometry information. While common sense already hints at what geometry is, such as a point or a line on a map, now we will systematically overview the direct technical representation of geometries. As for the technical representation of geometries, we will use the popular library called Shapely, which is a powerful Python library designed to create and manipulate geometries and to execute various geometry operations from measuring geometry areas to merging different shapes. Hence, Shapely is a very efficient and easy to use tool to conduct several steps of geospatial analysis. Shapely integrates well with GeoPandas, allowing us to seamlessly create and manipulate geometries that are stored in GeoDataFrames. Now, let's overview the different types of geometry classes that you will find in…
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