Learning Geospatial Analysis with Python

If you know Python and would like to use it for Geospatial Analysis this book is exactly what you've been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how.

By: Joel Lawhead

Write A Review

eText | 25 October 2013 | Edition Number 1

At a Glance

ePUB
364 Pages

eText

$67.09

or 4 interest-free payments of $16.77 with

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

If you know Python and would like to use it for Geospatial Analysis this book is exactly what you ve been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how.

Key Features

Construct applications for GIS development by exploiting Python
Focuses on built-in Python modules and libraries compatible with the Python Packaging Index distribution system ,Äì no compiling of C libraries necessary
This is a practical, hands-on tutorial that teaches you all about Geospatial analysis in Python

Book Description

Geospatial analysis is used in almost every field you can think of from medicine, to defense, to farming. It is an approach to use statistical analysis and other informational engineering to data which has a geographical or geospatial aspect. And this typically involves applications capable of geospatial display and processing to get a compiled and useful data.

"Learning Geospatial Analysis with Python" uses the expressive and powerful Python programming language to guide you through geographic information systems, remote sensing, topography, and more. It explains how to use a framework in order to approach Geospatial analysis effectively, but on your own terms.

"Learning Geospatial Analysis with Python" starts with a background of the field, a survey of the techniques and technology used, and then splits the field into its component speciality areas: GIS, remote sensing, elevation data, advanced modelling, and real-time data.

This book will teach you everything there is to know, from using a particular software package or API to using generic algorithms that can be applied to Geospatial analysis. This book focuses on pure Python whenever possible to minimize compiling platform-dependent binaries, so that you don't become bogged down in just getting ready to do analysis.

"Learning Geospatial Analysis with Python" will round out your technical library with handy recipes and a good understanding of a field that supplements many a modern day human endeavors.

What you will learn

Automate Geospatial analysis workflows using Python
Code the simplest possible GIS in 60 lines of Python
Mold thematic maps with Python tools
Get a hold of the various forms the geospatial data comes in
Produce elevation contours using Python tools
Create flood inundation models
Learn Real-Time Data tracking and apply it in storm chasing

Who this book is for

This book is for anyone who wants to understand digital mapping and analysis and who uses Python or another scripting language for automation or crunching data manually.This book primarily targets Python developers, researchers, and analysts who want to perform Geospatial, modeling, and GIS analysis with Python.