Geoprocessing with Python by Chris Garrard

By Chris Garrard

Summary

Geoprocessing with Python teaches you the way to exploit the Python programming language, besides loose and open resource instruments, to learn, write, and method geospatial data.

Purchase of the print booklet contains a loose publication in PDF, Kindle, and ePub codecs from Manning Publications.

About the Technology

This ebook is ready the technological know-how of analyzing, studying, and offering geospatial facts programmatically, utilizing Python. due to dozens of open resource Python libraries and instruments, you could tackle expert geoprocessing initiatives with out making an investment in dear proprietary applications like ArcGIS and MapInfo. The ebook indicates you how.

About the Book

Geoprocessing with Python teaches you ways to entry on hand datasets to make maps or practice your personal analyses utilizing loose instruments just like the GDAL, NumPy, and matplotlib Python modules. via plenty of hands-on examples, you’ll grasp middle practices like dealing with a number of vector dossier codecs, modifying geometries, employing spatial and characteristic filters, operating with projections, and acting simple analyses on vector facts. The booklet additionally covers the best way to manage, resample, and study raster information, comparable to aerial photos and electronic elevation models.

What's Inside

  • Geoprocessing from the floor up
  • Read, write, strategy, and learn raster data
  • Visualize info with matplotlib
  • Write customized geoprocessing tools
  • Three extra appendixes to be had online

About the Reader

To learn this e-book all you would like is a simple wisdom of Python or the same programming language.

About the Author

Chris Garrard works as a developer for Utah nation college and teaches a graduate path on Python programming for GIS.

Table of Contents

  1. Introduction
  2. Python basics
  3. Reading and writing vector data
  4. Working with varied vector dossier formats
  5. Filtering facts with OGR
  6. Manipulating geometries with OGR
  7. Vector research with OGR
  8. Using spatial reference systems
  9. Reading and writing raster data
  10. Working with raster data
  11. Map algebra with NumPy and SciPy
  12. Map classification
  13. Visualizing data
    1. Appendixes

  • A - Installation
  • B - References
  • C - OGR - on-line only
  • D - OSR - on-line only
  • E - GDAL - on-line only

Show description

Read or Download Geoprocessing with Python PDF

Best user experience & usability books

Ambient Intelligence

Ambient intelligence is the imaginative and prescient of a know-how that may develop into invisibly embedded in our ordinary atmosphere, current every time we want it, enabled by way of easy and easy interactions, attuned to all our senses, adaptive to clients and context-sensitive, and independent. high quality details entry and custom-made content material has to be to be had to every body, anyplace, and at any time.

Cross-Word Modeling for Arabic Speech Recognition

Cross-Word Modeling for Arabic Speech reputation makes use of phonological ideas so one can version the cross-word challenge, a merging of adjoining phrases in speech because of non-stop speech, to augment the functionality of constant speech attractiveness platforms. the writer goals to supply an knowing of the cross-word challenge and the way it may be kept away from, particularly targeting Arabic phonology utilizing an HHM-based classifier.

Sustainable Web Ecosystem Design

This ebook is set the method of constructing web-based platforms (i. e. , web content, content material, and so forth. ) that give some thought to all of the elements, the modules, the organisms – binary or in a different way – that make up a balanced, sustainable net environment. within the present media-rich atmosphere, an internet site is greater than a set of relative html files of textual content and pictures on a static computing device desktop visual display unit.

Augmented and Virtual Reality: Second International Conference, AVR 2015, Lecce, Italy, August 31 - September 3, 2015, Proceedings

This ebook constitutes the refereed complaints of the second one overseas convention on Augmented and digital truth, AVR 2015, held in Lecce, Italy, in September 2015. The 32 papers and eight brief papers awarded have been rigorously reviewed and chosen from eighty two submissions. The SALENTO AVR 2015 convention brings jointly a group of researchers from academia and undefined, computing device scientists, engineers, and physicians which will percentage issues of perspectives, wisdom, studies, and medical and technical effects relating to cutting-edge options and applied sciences on digital and augmented truth purposes for medication, cultural historical past, schooling, commercial sectors, in addition to the demonstration of complex items and applied sciences.

Extra resources for Geoprocessing with Python

Sample text

This is where the edit window comes in. You can use the File menu in IDLE to open a new window, which will contain an empty file. py extension first. The output from the script will be sent to the interactive window. Speaking of output, in many of the interactive examples in this book I type a variable name to see what the variable contains, but this won’t work if you’re running the code from a script. Instead, you need to use print to explicitly tell it to send information to the output window.

This example iterates through a list of names and prints a message for each one: >>> names = ['Chris', 'Janet', 'Tami'] >>> for name in names: ... format(name)) ... Hello Chris! Hello Janet! Hello Tami! The first time through the loop, the name variable is equal to ‘Chris’, the second time it holds ‘Janet’, and the last time it is equal to ‘Tami’. I called this variable name, but it can be called anything you want. 30 CHAPTER 2 Python basics THE RANGE FUNCTION The range function makes it easy to iterate over a sequence of numbers.

5 CHAPTER 1 Introduction Summary ■ ■ ■ ■ Python is a powerful multiplatform programming language that’s relatively easy to learn. Free and open source software is not only free with regard to price (free beer), but also allows for many freedoms with how it’s used (free speech). Many excellent open source Python modules exist for processing both vector and raster geospatial data. You don’t give up quality by using open source tools. In fact several of these packages are also used by proprietary software.

Download PDF sample

Rated 4.41 of 5 – based on 33 votes