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  • Book Overview & Buying ArcPy and ArcGIS: Geospatial Analysis with Python
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ArcPy and ArcGIS: Geospatial Analysis with Python

ArcPy and ArcGIS: Geospatial Analysis with Python

By : Silas Toms
3.9 (11)
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ArcPy and ArcGIS: Geospatial Analysis with Python

ArcPy and ArcGIS: Geospatial Analysis with Python

3.9 (11)
By: Silas Toms

Overview of this book

If you are a GIS student or professional who needs an understanding of how to use ArcPy to reduce repetitive tasks and perform analysis faster, this book is for you. It is also a valuable book for Python programmers who want to understand how to automate geospatial analyses.
Table of Contents (14 chapters)
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13
Index

Inspecting the final script


Once all of the parameters have been collected, the variables are then used to replace the hard-coded field lists or other static script elements with the new dynamic parameters collected from the script tool. In this manner, the script has become a valuable tool that can be used for multiple data analyses, as the fields to be analyzed are now dynamic:

import arcpy, csv
busStops = arcpy.GetParameterAsText(0)
censusBlocks2010 = arcpy.GetParameterAsText(1)
censusBlockField = arcpy.GetParameterAsText(2)
csvname = arcpy.GetParameterAsText(3)
headers = arcpy.GetParameterAsText(4).split(',')
sql = arcpy.GetParameterAsText(5)
keyfields = arcpy.GetParameterAsText(6).split(';')
dataDic = {}
censusFields = [ 'BLOCKID10',censusBlockField,'SHAPE@']
if "SHAPE@" not in keyfields:
    keyfields.append("SHAPE@")

arcpy.AddMessage(busStops)
arcpy.AddMessage(censusBlocks2010)
arcpy.AddMessage(censusBlockField)
arcpy.AddMessage(csvname)
arcpy.AddMessage(sql)
arcpy.AddMessage(keyfields...
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