“Geoprocessing is for everyone that uses ArcGIS. Whether you’re a beginning user or a pro, geoprocessing will become an essential part of your day-to-day work with ArcGIS.
The fundamental purposes of geoprocessing are to allow you to automate your GIS tasks and perform spatial analysis and modeling. Almost all uses of GIS involve the repetition of work, and this creates the need for methods to automate, document, and share multiple-step procedures known as workflows. Geoprocessing supports the automation of workflows by providing a rich set of tools and a mechanism to combine a series of tools in a sequence of operations using models and scripts….” - …READ MORE.
The power of layers in GIS:
Why we’re Covering it
Geoprocessing is what helps make you efficient in your spatial analyses. Whether its combining multiple tools into one using model builder, batch processing a large quantity of data, writing some simple Python scripts, or leveraging the functionality of the Results window, geoprocessing is what can help you move from a novice GIS user, to a highly proficient power user.
So many of the geoprocessing tasks we do in ArcGIS are highly mundane and repetitive. Building models and/or writing scripts in ArcGIS is an effective way of increasing your efficiency.
Getting Started with Python in ArcGIS -* This ESRI video takes you from the basics of Python and running geoprocessing tools and functionality to creating your own tools using Python.*
Python Scripting for Map Automation in ArcGIS 10 - Do you have to make a lot of the same maps with just slightly different layers? This video goes through how you can use Python to automate that process.
Haining R. 2003. Spatial Data Analysis: Theory and Practice. Cambridge University Press: Cambridge, 432 pp. - See Chapter 4 on ‘Data quality: implications for spatial data analysis’
Error, Accuracy and Precision in GIS -* A very helpful series of webpages on the basics of errors, accuracy and precision in GIS maintained by **Kenneth E. Foote and Donald J. Huebner, The Geographer’s Craft Project, Department of Geography, University of Texas at Austin. *
Uncertainty Propagation in GIS - Curriculum developed by : Gerard B.M. Heuvelink, Faculty of Environmental Sciences, University of Amsterdam.