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
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Getting the bounding box


We're going to need the bounding box of the route to download data from other geospatial services. When we download data, we want the dataset to cover more area than the route so that the map is not cropped too closely around the edges of the route. So, we'll buffer the bounding box by 20% on each side. Finally, we'll need the data in Eastings and Northings to work with the WMS service. Eastings and Northings are the x and y coordinates of points in the Cartesian coordinate system in meters. They are commonly used in the UTM coordinate system:

# Find Lat/Long bounding box of the route
minx = min(lons)

miny = min(lats)
maxx = max(lons)
maxy = max(lats)

# Buffer the GPX bounding box by 20%
# so the track isn't too close to

# the edge of the image.
xdist = maxx - minx
ydist = maxy - miny
x20 = xdist * .2
y20 = ydist * .2
# 10% expansion on each side
minx -= x20
miny -= y20
maxx += x20
maxy += y20

# Store the bounding box in a single
# variable to streamline function...