From the course: Geospatial Data Analytics Essential Training
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Creating your first GeoDataFrame from scratch - Python Tutorial
From the course: Geospatial Data Analytics Essential Training
Creating your first GeoDataFrame from scratch
- In chapter three, we are going to learn about geospatial data structures. We are going to learn how to create geospatial data from scratch, how to use built-in data sets, and how to turn non-geospatial data into geospatial data. Additionally, we will learn about how to apply functions, how to transform these geospatial data sets, and we will even cover a few more advanced topics like map projection. By completing this chapter, you will have a working knowledge and practical skills on how to conduct and do an actual real world geospatial data science project. As we have seen earlier, the core data structure of GeoPandas is the so-called GeoDataFrame. These GeoDataFrames are built on regular Pandas DataFrames, which means that they offer flexible structures to store and manipulate tabular data. The addition coming from GeoPandas is the ability to store geometry information in the GeoDataFrame's attribute column, which we call geometry. This geometry attribute, within a GeoDataFrame…
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