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
1
Section 1: The History and the Present of the Industry
5
Section 2: Geospatial Analysis Concepts
10
Section 3: Practical Geospatial Processing Techniques

Knowing the most widely used vector data types

Vector data is, by far, the most common geospatial format because it is the most efficient way to store spatial information. In general, it requires fewer computer resources to store and process than raster data. The OGC has over 16 formats directly related to vector data. Vector data stores only geometric primitives, including points, lines, and polygons. However, only the points are stored for each type of shape. For example, in the case of a simple straight vector line shape, only the endpoints would be necessarily stored and defined as a line. Software displaying this data would read the shape type and then connect the endpoints with a line dynamically.

Geospatial vector data is similar to the concept of vector computer graphics, with some notable exceptions. Geospatial vector data contains positive and negative Earth-based...