Book Image

Learning Geospatial Analysis with Python - Third Edition

By : Joel Lawhead
Book Image

Learning Geospatial Analysis with Python - Third Edition

By: Joel Lawhead

Overview of this book

Geospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data. By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.
Table of Contents (15 chapters)
Free Chapter
Section 1: The History and the Present of the Industry
Section 2: Geospatial Analysis Concepts
Section 3: Practical Geospatial Processing Techniques

Aggregating geometry

GIS vector datasets are typically composed of point, line, or polygon features. One of the principles of GIS is that things that are closer together geographically are more related than things that are further apart. When you have a set of related features, often, it's too much detail for the analysis you're trying to accomplish. It can be useful to generalize them to speed up processing or simplify a map. This type of operation is called aggregation. A common example of aggregation is to combine a set of local political boundaries into a larger political boundary such as counties into a state or states into a country or countries into continents.

In this example, we'll do just that. We'll convert a dataset comprising all of the counties in the US state of Mississippi into a single polygon representing the entire state. The Python Shapely...