Book Image

Learning Geospatial Analysis with Python - Fourth Edition

By : Joel Lawhead
4 (1)
Book Image

Learning Geospatial Analysis with Python - Fourth Edition

4 (1)
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. In this special 10th anniversary edition, you'll embark on an exhilarating geospatial analysis adventure using Python. This fourth edition starts with the fundamental concepts, enhancing your expertise in geospatial analysis processes with the help of illustrations, basic formulas, and pseudocode for real-world applications. As you progress, you’ll explore the vast and intricate geospatial technology ecosystem, featuring thousands of software libraries and packages, each offering unique capabilities and insights. This book also explores practical Python GIS geospatial applications, remote sensing data, elevation data, and the dynamic world of geospatial modeling. It emphasizes the predictive and decision-making potential of geospatial technology, allowing you to visualize complex natural world concepts, such as environmental conservation, urban planning, and disaster management to make informed choices. You’ll also learn how to leverage Python to process real-time data and create valuable information products. By the end of this book, you'll have acquired the knowledge and techniques needed to build a complete geospatial application that can generate a report and can be further customized for different purposes.
Table of Contents (18 chapters)
1
Part 1:The History and the Present of the Industry
5
Part 2:Geospatial Analysis Concepts
11
Part 3:Practical Geospatial Processing Techniques

Working with bathymetry

Bathymetry data and terrestrial elevation data share some fundamental similarities, both representing the topography of a surface. While terrestrial data maps the contours of Earth’s land surfaces, bathymetry data plunges beneath the waves to depict the underwater terrain, capturing the depth and shapes of ocean floors, lake beds, and river channels. Both types of data are critical for various applications, from navigation and flood modeling to environmental studies and urban planning. However, the differences in the mediums they represent—air for terrestrial and water for bathymetry—impose unique challenges in data collection and interpretation.

As we’ve seen, terrestrial data is often collected using LiDAR technology, which employs lasers to send out pulses of light that bounce off the ground and other objects. By measuring the time it takes for the light to return, the distance to the surface can be calculated, resulting in...