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Python GeoSpatial Analysis Essentials

You're reading from   Python GeoSpatial Analysis Essentials Process, analyze, and display geospatial data using Python libraries and related tools

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781782174516
Length 200 pages
Edition 1st Edition
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Author (1):
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Erik Westra Erik Westra
Author Profile Icon Erik Westra
Erik Westra
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About geospatial analysis

Geospatial analysis is the process of reading, manipulating, and summarizing geospatial data to yield useful and interesting results. A lot of the time, you will be answering questions like the following:

  • What is the shortest drivable distance between Sausalito and Palm Springs?
  • What is the total length of the border between France and Belgium?
  • What is the area of each National Park in New Zealand that borders the ocean?

The answer to these sorts of questions will typically be a number or a list of numbers. Other types of geospatial analysis will involve calculating new sets of geospatial data based on existing data. For example:

  • Calculate an elevation profile for USA Route 66 from Los Angeles, CA, to Albuquerque, NM.
  • Show me the portion of Brazil north of the equator.
  • Highlight the area of Rarotonga likely to be flooded if the ocean rose by 2 meters.

In these cases, you will be generating a new set of geospatial data, which you would typically then display in a chart or on a map.

To perform this sort of analysis, you will need two things: appropriate geospatial analysis tools and suitable geospatial data.

We are going to perform some simple geospatial analysis shortly. Before we do, though, let's take a closer look at the concept of geospatial data.

You have been reading a chapter from
Python GeoSpatial Analysis Essentials
Published in: Jun 2015
Publisher:
ISBN-13: 9781782174516
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