This book provides the tools the methods and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive large frequent and rapid data there are new opportunities to understand and analyze the role of geography in everyday life. Geographic Data Science with Python introduces a new way of thinking about analysis by using geographical and computational reasoning it shows the reader how to unlock new insights hidden within data. Key Features: Showcases the excellent data science environment in Python Provides examples for readers to replicate adapt extend and improve Covers the crucial knowledge needed by geographic data scientists It presents concepts in a far more geographic way than competing textbooks covering spatial data mapping and spatial statistics whilst covering concepts such as clusters and outliers as geographic concepts. Intended for data scientists GIScientists and geographers the material provided in this book is of interest due to the manner in which it presents geospatial data methods tools and practices in this new field. . Language: English