Harness the powerful Python programming language to navigate the realms of Geographic Information Systems, Remote Sensing, Topography, and more, while embracing a guiding framework for effective geospatial analysis
Key Features
- Create GIS solutions using the new features introduced in Python 3.10
- Explore a range of GIS tools and libraries such as PostGIS, QGIS, and PROJ
- Master geospatial analysis through practical guidance and real-world applications
Book Description
Geospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. In this new edition, you'll embark on an exhilarating geospatial analysis adventure using Python
This fourth edition will guide you through various GIS techniques, geodatabases, remote sensing, point clouds, elevations, and Anaconda installation. You will delve into an array of geospatial data aspects, including types, formats, structures, metadata, vectors, rasters, lidar, and web services. You will gain proficiency in fundamental tools such as GDAL/OGR, PROJ, PDAL, PostGIS, QGIS, Leaflet, and more. Unleashing the potential of the geospatial Python toolbox, you will master QGIS, Anaconda, Jupyter, Shapely, GeoPandas, and similar tools. Practical Python GIS techniques, including distance measurement, polygon area calculation, coordinate conversions, thematic mapping, and geocoding, will be covered. Additionally, you will engage with remote sensing data, elevation models, and point clouds. The book will guide you into advanced geospatial modeling using Python and address real-time data challenges. Lastly, you will construct advanced geospatial products and automate GIS workflows
By the end of this book, you'll acquire the knowledge and techniques needed to build an entire geospatial application that outputs a report and can be further customized for different purposes
What you will learn
- Automate geospatial analysis workflows using Python
- Understand the different formats that geospatial data comes in
- Unleash geospatial tech tools, and create stunning visualizations
- Create thematic maps with Python tools such as PyShp, OGR, and the Python Imaging Library
- Build a geospatial Python toolbox for analysis and application development
- Unlock remote sensing secrets, detect changes, and process imagery
- Leverage ChatGPT for solving Python geospatial solutions
- Apply geospatial analysis to real-time data tracking and storm chasing
Who This Book Is For
This book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.
Table of Contents
- Learning Geospatial Analysis with Python
- Learning Geospatial Data
- The Geospatial Technology Landscape
- Geospatial Python Toolbox
- Python and Geospatial Algorithms
- Creating and Editing GIS Data
- Python and Remote Sensing
- Python and Elevation Data
- ADVANCED GEOSPATIAL PYTHON MODELING
- REAL-TIME DATA
- PUTTING IT ALL TOGETHER
Joel Lawhead is a PMI-certified Project Management Professional (PMP), a certified GIS Professional (GISP), and vice president of NVision Solutions, Inc., an award-winning firm specializing in geospatial technology integration and sensor engineering for NASA, FEMA, NOAA, the US Navy, and many other commercial and non-profit organizations. Joel began using Python in 1997 and started combining it with geospatial software development in 2000. He has authored multiple editions of Learning Geospatial Analysis with Python and QGIS Python Programming Cookbook, both from Packt. He is also the developer of the open source Python Shapefile Library (PyShp) and maintains a geospatial technical blog.
