Packt Python Geospatial Development 508pages software manual

Python Geospatial Development - Build applications for GIS development using Python
- Analyze and visualize Geo-Spatial data
- Comprehensive coverage of key GIS concepts
- Recommended best practices for storing spatial data in a database
- Draw maps, place data points onto a map, and interact with maps
- A practical tutorial with plenty of step-by-step instructions to help you develop a mapping application from scratch

Open Source GIS (Geographic Information System) is a growing area with the explosion of applications such as Google Maps, Google Earth, and GPS. The GIS market is growing rapidly and as a Python developer you will find yourself either wanting grounding in GIS or needing to get up to speed to do your job. In today's location-aware world, all commercial Python developers can benefit from an understanding of GIS development gained using this book.

Working with geo-spatial data can get complicated because you are dealing with mathematical models of the Earth's surface. Since Python is a powerful programming language with high-level toolkits, it is well suited to GIS development. will familiarize you with the Python tools required for geo-spatial development such as Mapnik, which is used for mapping in Python. It introduces GIS at the basic level with a clear, detailed walkthrough of the key GIS concepts such as location, distance, units, projections, datums, and GIS data formats. We then examine a number of Python libraries and combine these with geo-spatial data to accomplish a variety of tasks. The book provides an in-depth look at the concept of storing spatial data in a database and how you can use spatial databases as tools to solve a variety of geo-spatial problems.

It goes into the details of generating maps using the Mapnik map-rendering toolkit, and helps you to build a sophisticated web-based geo-spatial map-editing application using GeoDjango, Mapnik, and PostGIS. By the end of the book, you will be able to integrate spatial features into your applications and build a complete mapping application from scratch.

A hands-on tutorial about accessing, manipulating, and displaying Geo-Spatial data efficiently using a range of Python tools for GIS development

<b>What you will learn from this book :</b>
- Develop applications for GIS development using the Python programming language
- Get to grips with the process of accessing, manipulating, and displaying geo-spatial data
- Understand some of the major data formats you are likely to encounter when working with geo-spatial data
- Analyze and manipulate geo-spatial data directly within your Python programs
- Use powerful Python-based tools for converting geo-spatial data into good-looking maps
- Learn to read and write to geo-spatial data in both vector and raster format
- Represent, transfer, and store geo-spatial data using the Well-Known Text (WKT) format
- Work efficiently with geo-spatial databases using Python
- Solve complex, real-world geo-spatial problems in your applications using the three spatial databases MySQL, PostGIS, and SpatialLite
- Explore some of the frameworks available for creating web-based geo-spatial applications
- Get in touch with major applications and recent trends in the field of Geo-Spatial development

<b>Who this book is written for</b>
This book is useful for Python developers who want to get up to speed with Open Source GIS in order to build GIS applications or integrate Geo-Spatial features into their applications.