GIS In Action: Working with Data (Day 1)
Understanding the Data Supply Chain Breakdown
Presenter: Sandy Dyre
Do you understand the role you play in your organizations Data Supply Chain? Have you ever though about the numerous users of your content and where the flow of data resides in your agency? It's easy to assume that we are developing data for the public or that we are consuming source data from an authoritative source. The question is does everyone agree upon the same authoritative source and where do you reside in someone else's workflow.
Takeaway: We want to help GIS People and others to look at their data differently - helping them to understand the data supply chain of their own organization to see the ripple effect of data anomalies.
Who should attend: GIS professionals, really anyone involved with the development authoritative source data such as streets, addressing, community planners and the like
Visualizing Attribution Discrepancies Between Address and Centerline Datasets
Presenter: John Ehlen
A fishbone analysis is a structured process which can be useful for determining the underlying causes behind certain problems by visually evaluating cause and effect. In terms of GIS and attribution, this analysis will allow you to visualize attribution errors between road centerlines and address points. This is done by comparing the original address location to the geocoded address location position along a street centerline. Some of the attribution errors that can be visualized are:
- Addresses or road address ranges are out of numerical order
- Addresses or road address ranges are on the wrong side of the street
- Addresses or road address ranges are on the wrong block
- Addresses or centerlines with missing or invalid street pre-directional, post-directional, street name, incorporated municipality, ESN, etc.
Takeaway: New technique to visually analyze data, fishbone analysis script sample and data, Python logic behind the fishbone process. This presentation will also highlight the need for more coordination between address editors and centerline editors, and why QA/QC processes are a necessity.
Who should attend: Anyone interested in improving the attributional accuracy of their GIS data. This is not strictly a 9-1-1 topic and is applicable to anyone looking to enhance data quality or learn new techniques for evaluating data.
AZGeo and Arizona's Open Data
Presenters: Shea Lemar, Jenna Leveille
The AZGeo Data Hub is an initiative of the Arizona Geographic Information Council (AGIC). AZGeo is designed to provide GIS users with links to online map services, geospatial data downloads, and geospatial applications. It utilizes groups to more effectively organize users, increase security, and make it easier for data contributors to control access to their restricted data. While AZGeo has been around for many years, it was migrated to the Esri Hub platform in July of 2020 and now allows open data searches (with no login necessary), access to restricted data (requires a login), and access to both ArcGIS Online applications and custom applications. This presentation will give an overview of how to use the new AZGeo platform and what it has to offer.
Takeaway: Learn what the new AZGeo has to offer, including access to open data, restricted data, and applications.
Who should attend: People who need authoritative data for the Arizona and who want access to applications that were built to help geospatial professionals in Arizona.