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
1
Section 1: The History and the Present of the Industry
5
Section 2: Geospatial Analysis Concepts
10
Section 3: Practical Geospatial Processing Techniques

Understanding coordinate conversion

Coordinate conversion allows you to convert point coordinates between different coordinate systems. When you start working with multiple datasets, you'll inevitably end up with data in different coordinate systems and projections. You can convert back and forth between two of the most common coordinate systems, UTM and geographic coordinates (latitude and longitude), using a pure Python module called utm. You can install it using easy_install or pip from PyPI: https://pypi.python.org/pypi/utm.

The utm module is straightforward to use. To convert from UTM into latitude and longitude, you can use the following code:

import utm
y = 479747.0453210057
x = 5377685.825323031
zone = 32
band = 'U'
print(utm.to_latlon(y, x, zone, band))
# (48.55199390882121, 8.725555729071763)

The UTM zones are numbered horizontally. However, vertically, the...