Welcome to the Geospatial Data Cookbook!
The first step to getting started with any geospatial application or analysis is finding suitable data. Open Source Data is a good option for this, as it is freely and easily available online, if one knows where to look for it. In this cookbook you will not only learn how to download open source spatial data from OSM but also how to pre-process it and lay the groundwork for further applications like GeoAI or Geospatial Analysis.
Overview and Structure¶
Introduction and Fundamental Concepts: This chapter introduces the topic and explains the key theoretical concepts needed to understand it.
Data Acquisition: This notebook demonstrates how to download data from OpenStreetMap using the Overpass Turbo API.
Feature Engineering: This notebook introduces feature engineering through an example based on intersection analysis of the downloaded OSM data.
Grids and Segmentation: This notebook explains how to divide an area into regular cells and aggregate values across the resulting grid.
Prerequisites:¶
In order to be able to follow the contents of this cookbook properly, you should have at least a basic understanding of Python programming.