Book Image

Learning Geospatial Analysis with Python

By : Joel Lawhead
Book Image

Learning Geospatial Analysis with Python

By: Joel Lawhead

Overview of this book

Geospatial Analysis is used in almost every field you can think of from medicine, to defense, to farming. This book will guide you gently into this exciting and complex field. It walks you through the building blocks of geospatial analysis and how to apply them to influence decision making using the latest Python software. Learning Geospatial Analysis with Python, 2nd Edition uses the expressive and powerful Python 3 programming language to guide you through geographic information systems, remote sensing, topography, and more, while providing a framework for you to approach geospatial analysis effectively, but on your own terms. We start by giving you a little background on the field, and a survey of the techniques and technology used. We then split the field into its component specialty areas: GIS, remote sensing, elevation data, advanced modeling, and real-time data. This book will teach you everything you need to know about, Geospatial Analysis from using a particular software package or API to using generic algorithms that can be applied. This book focuses on pure Python whenever possible to minimize compiling platform-dependent binaries, so that you don’t become bogged down in just getting ready to do analysis. This book will round out your technical library through handy recipes that will give you a good understanding of a field that supplements many a modern day human endeavors.
Table of Contents (17 chapters)
Learning Geospatial Analysis with Python Second Edition
About the Author
About the Reviewers


The pure Python PyFPDF library is a lightweight way to create PDFs including maps. Because the PDF format is a widely used standard, PDFs are commonly used to distribute maps. You can install it via PyPI as fpdf. The official name of the software is PyFPDF because it is a part of the PHP language module called fpdf. This module uses a concept called a cell to layout items at specific locations on a page. As a quick example, we'll import our hancock.png image created from the PIL example into a PDF called map.pdf to create a simple PDF map. The map will have the header text at the top that says Hancock County Boundary, followed by the map image:

>>> import fpdf
>>> # PDF constructor:
>>> # Portrait, millimeter units, A4 page size
>>> pdf=fpdf.FPDF("P", "mm", "A4")
>>> # create a new page
>>> pdf.add_page()
>>> # Set font: arial, bold, size 20
>>> pdf.set_font('Arial','B',20)
>>> # Layout cell: 160 x 25mm...