Download Python GeoSpatial Analysis Essentials by Erik Westra PDF

By Erik Westra

ISBN-10: 1782174516

ISBN-13: 9781782174516

Process, research, and show geospatial facts utilizing Python libraries and similar tools

About This Book

  • Learn to construct an entire geospatial program from scratch utilizing Python
  • Create handsome maps according to the result of your analysis
  • This is a fast moving advisor that can assist you discover the main ideas of geospatial to procure top of the range spatial data

Who This publication Is For

If you're an skilled Python developer and want to get up-to-speed with geospatial programming, then this ebook is for you. whereas familiarity with fitting third-party Python libraries will be a bonus, no past wisdom of geospatial programming is required.

What you'll Learn

  • Understand the most important geospatial suggestions and strategies had to examine and paintings with geospatial data
  • Learn the best way to learn and write geospatial info from inside of your Python code
  • Use PostGIS to shop spatial facts and practice spatial queries
  • Use Python libraries to research and manage geospatial data
  • Generate maps in line with your spatial data
  • Implement entire geospatial research platforms utilizing Python
  • Use the Shapely and NetworkX libraries to unravel difficulties equivalent to distance-area calculations, discovering the shortest course among issues, buffering polygons, and masses more

In Detail

Python is a hugely expressive language that makes it effortless to put in writing refined courses. Combining high quality geospatial info with Python geospatial libraries offers you a robust toolkit for fixing quite a number geospatial programming tasks.

The publication starts off with an advent to geospatial research and programming and explains the guidelines at the back of geospatial information. you are going to discover Python libraries for construction your individual geospatial purposes. you'll discover ways to create a geospatial database to your software utilizing PostGIS and the psycopg2 library, and notice how the Mapnik library can be utilized to create appealing and beneficial maps.

Finally, you'll learn how to use the Shapely and NetworkX libraries to create, examine, and manage complicated geometric gadgets, earlier than imposing a method to compare GPS recordings opposed to a database of roads to provide a heatmap of the main often used roads.

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Additional info for Python GeoSpatial Analysis Essentials

Sample text

However, there is a slight problem: when we buffer a geometry, it can sometimes become invalid because the buffered geometry lies outside the range of valid latitude and longitude values. Even though we only buffered the geographies by a kilometer, any geographies that lie close to the north or south pole, or close to the limits of -180 or +180 degrees of longitude, will have an invalid buffered outline. When we try to calculate the area of these invalid outlines, the result will be a NaN (Not a Number) value.

Com/projects/python/win-psycopg. com/software/python. • For a Linux machine, you will need to install psycopg2 from source. html. [ 66 ] Chapter 3 To check that it worked, start up your Python interpreter and type the following: >>> import psycopg2 >>> If psycopg2 was installed correctly, you should see the Python interpreter prompt reappear with no error message, as shown in this example. If an error message does appear, you may need to follow the troubleshooting instructions on the psycopg2 website.

Geometry, click_point); The ST_Contains function is an example of a database query function. This function is provided by the PostGIS spatial database. Different spatial databases use different names for their various query functions; all the query functions listed in this chapter come from PostGIS, as that is the database we'll be working with in this book. To perform this query, the database first uses the spatial index to identify those records that have a bounding box containing the desired point.

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