#### 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.
Preface
Free Chapter
Section 1: The History and the Present of the Industry
Learning about Geospatial Analysis with Python
Learning Geospatial Data
The Geospatial Technology Landscape
Section 2: Geospatial Analysis Concepts
Geospatial Python Toolbox
Python and Geographic Information Systems
Python and Remote Sensing
Python and Elevation Data
Section 3: Practical Geospatial Processing Techniques
Real-Time Data
Putting It All Together
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# Understanding coordinate format conversion

Map coordinates were traditionally represented as degrees, minutes, and seconds (DMS) for maritime navigation. However, in GIS (which is computer-based), latitude and longitude are represented as decimal numbers known as decimal degrees. The degrees, minutes, and seconds format is still used. Sometimes, you have to convert between that format and decimal degrees to perform calculations and output reports.

In this example, we'll create two functions that can convert either format into the other:

1. First, we import the math module to do conversions and the re regular expression module to parse the coordinate string:
`import mathimport re`
1. We have our function to convert decimal degrees into a degrees, minutes, and seconds string:
`def dd2dms(lat, lon):    """Convert decimal degrees to degrees, minutes, seconds"&quot...`