ArcPy and ArcGIS: Geospatial Analysis with Python by Silas Toms

By Silas Toms

Use the ArcPy module to automate the research and mapping of geospatial facts in ArcGIS

About This Book

  • Perform GIS research quicker by means of automating initiatives, akin to opting for info or buffering facts, by way of getting access to GIS instruments utilizing scripting
  • Access the spatial info contained inside of shapefiles and geodatabases, for updates, research or even transformation among spatial reference systems
  • Produce map books and automate the mapping of geospatial analyses, decreasing the time had to produce and reveal the results

Who This ebook Is For

If you're a GIS scholar or expert who wishes an knowing of the way to exploit ArcPy to lessen repetitive projects and practice research quicker, this publication is for you. it's also a beneficial publication for Python programmers who are looking to know the way to automate geospatial analyses.

In Detail

ArcGIS permits advanced analyses of geographic info. The ArcPy module is used to script those ArcGIS analyses, offering a efficient option to practice geo-analyses and to automate map production.

This publication will consultant you from easy Python scripting to complicated ArcPy script instruments. This publication begins with establishing your Python atmosphere, demonstrates a fancy ArcPy script instrument with a number of iterations, illustrates info entry module cursors, and explains find out how to use ArcPy Geometry periods. Then, you'll how you can output maps utilizing ArcPy.Mapping, and the way to create ArcGIS script tools.

With assistance from this booklet, it is possible for you to to create repeatable analyses lowering the time-consuming nature of GIS, making you right into a GIS specialist as robust as a complete team.

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Extra info for ArcPy and ArcGIS: Geospatial Analysis with Python

Sample text

These modules can be part of the standard Python library of modules, such as the math module (used to do higher mathematical calculations) or, importantly, ArcPy, which will allow us to interact with ArcGIS. Note Import statements can be located anywhere before the module is used, but by convention, they are located at the top of a script. We can also import multiple portions of the module in the same fashion: from arcpy import mapping, da The third way to import a module is the from import syntax, but by using an asterisk to import all parts of the module: from arcpy import * This last method is still used but it is discouraged as it can have unforeseen consequences.

Special cases aren't special enough to break the rules. Although practicality beats purity. Errors should never pass silently. Unless explicitly silenced. In the face of ambiguity, refuse the temptation to guess. There should be one-- and preferably only one --obvious way to do Although that way may not be obvious at first unless you're Dutch. Now is better than never. Although never is often better than *right* now. If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea.

We can also import multiple portions of the module in the same fashion: from arcpy import mapping, da The third way to import a module is the from import syntax, but by using an asterisk to import all parts of the module: from arcpy import * This last method is still used but it is discouraged as it can have unforeseen consequences. However, lots of existing scripts include import statements of this type so be aware of these consequences. The following are some best practices to use when naming variables.

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