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.

Related Content you might be interested in

Current Title:

Small book image
Learning Geospatial Analysis with Python - Fourth Edition
Joel Lawhead
Nov, 2023 | 432 pages
Small book image
QGIS Python Programming Cookbook, Second Edition
Joel Lawhead
Mar, 2017 | 464 pages
Small book image
Mastering Geospatial Analysis with Python
Silas Toms | Eric van Rees | Paul Crickard
Apr, 2018 | 440 pages
Small book image
Geospatial Analysis with SQL
Bonny P McClain
Oct, 2023 | 234 pages
Table of Contents (18 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Conventions used
Get in touch
Share your thoughts
Download a free PDF copy of this book
1
Part 1:The History and the Present of the Industry
Part 1:The History and the Present of the Industry
Free Chapter
2
Chapter 1: Learning about Geospatial Analysis with Python
Chapter 1: Learning about Geospatial Analysis with Python
Technical requirements
Geospatial analysis and our world
History of geospatial analysis
Evolution of Geographic Information Systems (GISs)
Remote sensing
Point cloud data
Computer-aided drafting
Geospatial analysis and computer programming
The importance of geospatial analysis
GIS concepts
Remote sensing concepts
Common vector GIS concepts
Common raster data concepts
Creating the simplest possible Python GIS
Summary
Questions
Further reading
3
Chapter 2: Learning about Geospatial Data
Chapter 2: Learning about Geospatial Data
Technical requirements
Overview of common data formats
Understanding data structures
Understanding spatial indexing
What are overviews?
What is metadata?
Understanding the file structure
Knowing about the most widely used vector data types
Understanding raster data types
What is point cloud data?
More realistic geospatial models with 3D data
What are web services?
Understanding geospatial databases
Sharing data with interchange formats
Introducing spatiotemporal data
Summary
Questions
Further reading
4
Chapter 3: The Geospatial Technology Landscape
Chapter 3: The Geospatial Technology Landscape
Technical requirements
Understanding data access
Understanding computational geometry
Understanding desktop tools (including visualization)
Understanding metadata management
A quick look at artificial intelligence
Summary
Questions
Further reading
5
Part 2:Geospatial Analysis Concepts
Part 2:Geospatial Analysis Concepts
6
Chapter 4: Geospatial Python Toolbox
Chapter 4: Geospatial Python Toolbox
Technical requirements
Using QGIS
Installing third-party Python modules
Jupyter
Python networking libraries for acquiring data
Bundling and compressing files
Python markup and tag-based parsers
Well-Known Text (WKT)
Python JSON libraries
OGR
PyShp
Shapely
Fiona
GDAL
NumPy
PIL
PNGCanvas
GeoPandas
PyFPDF
PyMySQL
Rasterio
OSMnx
Folium
Summary
Questions
Further reading
7
Chapter 5: Python and Geospatial Algorithms
Chapter 5: Python and Geospatial Algorithms
Technical requirements
Measuring distance
Calculating line direction
Understanding coordinate conversion
Understanding reprojection
Understanding coordinate format conversion
Calculating the area of a polygon
Using ChatGPT to measure a polygon perimeter
Summary
Questions
Further reading
8
Chapter 6: Creating and Editing GIS Data
Chapter 6: Creating and Editing GIS Data
Technical requirements
Editing shapefiles
Creating images for visualization
Using GPS data
Turning addresses into points with geocoding
Performing GIS analysis faster with multiprocessing
Summary
Questions
Further reading
9
Chapter 7: Python and Remote Sensing
Chapter 7: Python and Remote Sensing
Technical requirements
Examining raster data properties
Swapping image bands
Creating image histograms
Clipping images
Classifying images
Extracting features from images
Understanding change detection
Extracting image footprints using ChatGPT
Summary
Questions
Further reading
10
Chapter 8: Python and Elevation Data
Chapter 8: Python and Elevation Data
Technical requirements
Accessing ASCII Grid files
Creating a shaded relief
Creating elevation contours
Working with LiDAR data
Working with bathymetry
Summary
Questions
Further reading
11
Part 3:Practical Geospatial Processing Techniques
Part 3:Practical Geospatial Processing Techniques
12
Chapter 9: Advanced Geospatial Modeling
Chapter 9: Advanced Geospatial Modeling
Technical requirements
Creating a normalized difference vegetation index (NDVI)
Creating a flood inundation model
Creating a color hillshade
Performing least cost path analysis
Converting the route to a shapefile
Routing along streets
Geolocating photos
Calculating satellite image cloud cover
Summary
Questions
Further reading
13
Chapter 10: Working with Real-Time Data
Chapter 10: Working with Real-Time Data
Technical requirements
Limitations of real-time data
Using real-time data
Tracking vehicles
Gathering reports from the field
Summary
Questions
Further reading
14
Chapter 11: Putting It All Together
Chapter 11: Putting It All Together
Technical requirements
Understanding a typical GPS report
Building a GPS reporting tool
Summary
Questions
Further reading
15
Assessments
Chapter 1 – Learning about Geospatial Analysis with Python
Chapter 2 – Learning about Geospatial Data
Chapter 3 – The Geospatial Technology Landscape
Chapter 4 – Geospatial Python Toolbox
Chapter 5 – Python and Geospatial Algorithms
Chapter 6 – Creating and Editing GIS Data
Chapter 7 – Python and Remote Sensing
Chapter 8 – Python and Elevation Data
Chapter 9 – Advanced Geospatial Modeling
Chapter 10 – Working with Real-Time Data
Chapter 11 – Putting It All Together
16
Index
Index
Why subscribe?
17
Other Books You May Enjoy
Other Books You May Enjoy
Packt is searching for authors like you
Share your thoughts
Download a free PDF copy of this book

Learning about Geospatial Analysis with Python

This chapter is an overview of geospatial analysis. We will see how geospatial technology is currently impacting our world by looking at a case study of one of the worst pandemics the world has ever seen and how geospatial analysis helped track the spread of the disease to buy researchers time to create a vaccine. Next, we’ll step through the history of geospatial analysis, which predates computers and even paper maps! Then, we’ll examine why you might want to learn a programming language as a geospatial analyst as opposed to just using Geographic Information System (GIS) applications. We’ll realize the importance of making geospatial analysis as accessible as possible to the broadest number of people. Then, we’ll step through basic GIS and remote sensing concepts and terminology that will stay with you through the rest of this book. Finally, we’ll start using Python for geospatial analysis by building the simplest possible GIS from scratch!

Here’s a quick overview of the topics we’ll be covering in this chapter:

  • Geospatial analysis and our world
  • History of geospatial analysis
  • Evolution of Geographic Information Systems (GISs)
  • Remote sensing concepts
  • Point cloud data
  • Computer-aided drafting
  • Geospatial analysis and computer programming
  • The importance of geospatial analysis
  • GIS concepts
  • Common GIS processes
  • Common remote sensing processes
  • Common raster data concepts
  • Creating the simplest possible Python GIS

By the end of this chapter, you will understand geospatial analysis as a way of answering questions about our world and the differences between GIS and remote sensing.

Previous Section
End of Section 1
Next Section