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


Both OGR and PyShp read and write the .dbf files because they are part of the shapefile specification. The .dbf files contain the attributes and fields for the shapefiles. However, both libraries have very basic .dbf support. Occasionally, you will need to do some heavy-duty DBF work. The dbfpy3 module is a pure Python module dedicated to working with .dbf files. It is currently hosted on GitHub. You can force easy_install to find the download by specifying the download file:

easy_install -f

If you are using pip to install packages, use the following command:

pip install

The following shapefile has over 600 .dbf records representing US Census Bureau tracts, which make it a good sample for trying out dbfpy: