Workshop Dates
Location
Notes:
This workshop assumes prerequisite knowledge of introductory Python. You are encouraged to register for the Introduction to Python workshop on March 11, 2019 if you do not have any previous experience with Python. Please contact data-services@sfu.ca if you do not have previous experience with Python and cannot make the Introduction to Python workshop as we may be able to recommend other self-guided tutorials.
You need to bring your own laptop running Windows as ArcGIS desktop can only be downloaded onto a Windows environment
Cancellation deadline date: March 5, 2019
You must cancel by this date to avoid a $25 non-attendance fee applied to your library account in accordance with SFU Library's Cancellation Policy
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The analysis of place-based (or spatial) data requires a basic understanding of how to process the data. For example, what are the routes taken by Anna’s hummingbird (Calypte anna) during winter migration and where do their routes overlap with predator territory? If we have data on the locations of Anna’s hummingbird and their predators, we could process their network (or routes) and then analyze the overlap with predator territory.
Researchers in various disciplines will find this workshop helpful as an introduction to basic geoprocessing tools and workflow automation in ArcGIS. In this workshop, participants will learn to run basic and advanced geoprocessing tools using Python and an automated workflow process tool called Model Builder. During the workshop, participants will:
- explore different data formats that work with ArcGIS;
- use tools to their full extent in ArcMap;
- learn about kernel density analysis;
- automate geoprocessing tools; and
- use Python in IDLE and in ArcMap.
Software requirements:
Participants will need to bring their own computer, running the Windows operating system. This workshop requires the use of ArcGIS Desktop, which is available for download and can be installed on Windows operating systems only. Instructions on installing ArcGIS Desktop and other necessary information will be sent out to participants closer to the workshop date.
Prerequisite:
This workshop assumes prerequisite knowledge of introductory Python. Please contact data-services@sfu.ca if you do not have previous experience with Python as we may be able to recommend other self-guided tutorials.