Advanced Topics in Spatial Data Science
Welcome to the final chapter of this book. We’ve covered an incredible amount of content in the prior chapters, from introducing you to the concept of spatial data science to working on numerous challenging case studies applying cutting-edge geospatial machine learning algorithms. Unlike previous chapters, this one will not focus on a single concept but instead will explore a handful of more advanced topics that will further enhance your learnings from previous chapters. We’ll also dive into the topic of ethics in data science and spatial data science, which is becoming a topic of rapidly growing interest due to the improvements in technology and data access, combined with data breaches and other dilemmas.
In this chapter, we’ll cover the following topics:
- Efficient operations with spatial indexing
- Estimating unknowns with spatial interpolation
- Ethical spatial data science
