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Presentations

Below are the proceedings for the 25 minute presentations given at the 2017 AGIC Education & Training Symposium.

Presentations are listed in alphabetical order by title.

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Since the initial requirement in 2012 for the State DOTs to submit an all-public road network of linear referenced data (ARNOLD) to Federal Highway Administration, ADOT has been working toward the goals of achieving it, repeating it, and sustaining it. The data supply chain now delivers an accurate, complete, and timely road network for the state of Arizona. At the heart of the Data Supply Chain is a ticketing tool, which facilitates clear, concise, and timely communication between all data supply chain partners. More recently, ADOT has delivered the ability to contribute data to the supply chain by enhancing the way that centerline data is contributed. This presentation will walk through the steps to contribute, talk about some of the behind the scene data processing, and show you the benefits of data contributions.

 

Arizona Department of Transportation's Right-Of-Way alignments have historically been collected and stored on paper copies of engineering plan documents which are archived on the ADOT website.   The GIS group saw an opportunity to improve the process with the creation of an accurate GIS polygon for the state owned system.  During the presentation I will discuss the methods used to collect Right-Of-Way, limitations, future plans for the data, and how other agencies can implement a similar process.

 
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File Size:
3.52 MB

EMAP: "EMergency 911 Address Portal" - As the State of Arizona pursues the development of  locally-sourced, statewide address point and road network databases, they are developing a suite of tools that will help local data providers find and fix errors in the location and/or attributes in these datasets.  EMAP is a web-based address editing tool that allows  9-1-1 System Administrators and staff to evaluate and suggest corrections to errors they find in the normal course of call routing and emergency dispatch.  This presentation will give an overview of the capabilities of EMAP.

 

Aerial Imagery is a necessary tool in GIS workflows these days and current imagery holds great value.  Using it as a tool that will enhance your daily activity not only makes it easier for you to do your job, but opens you up to a world of possibility.  In this short presentation we will discuss some of the creative and innovative ways that our customers have applied this idea to their organizations.  We will look at process and also outcome to determine how an enhanced workflow proves to be a better workflow.

 

This presentation will cover examples of Real World UAV Data and UAV LAS output for the creation of 3D Landscapes and beyond.   The information being showcased will be geared to educate and inform the GIS Community on these highly evolving and Highly Efficient methodologies.  Production data with output deliverables and accuracies will be showcased and discussed.

 

FAA Presentation regarding license and use requirements with Ernest, Tina Buskirk and/or John Nunes.

 

Multispectral imagery is an invaluable tool for revealing information about vegetation not apparent to the human eye, especially when used in conjunction with aerial collection methods such as Unmanned Aerial Vehicles (UAV). The brosimum alicastrum, or breadnut tree, is a unique test case for a UAV-based multispectral data collection method. Native to Mexico and broader Mesoamerica, the tree produces an edible nut that has been used by indigenous people as a staple food source for thousands of years. Today the nut is still used by local people and provides a cheap source of highly nutritious food that can be used in bread, porridge, and as a coffee alternative. Using supervised spectral imagery classification along with photogrammetric (3D) modeling and other data collected via UAV individual instances of the breadnut can be identified. This information can then used to assess tree yield and to develop sustainable extraction plans.

 

Bluetooth Low Energy (BLE) beacons are a new technology that is being used to solve a vast variety of location based challenges such as micro-location, indoor location and ADA access. We will look at an overview of Bluetooth low energy beacon technologies and use cases and how they integrate in with Traditional GIS implementations. The presentation will focus on the experiences and lessons learned by the City of Tempe and Arizona State University in creating a beacon based GIS prototype system.

 

The problem: how to accurately categorize every unit cell (inch3, foot3, meter3/mile3/-¦) in a study area by its landuse/fire hazard potential/susceptibility to landslides/etc. Since each cell cannot reasonably be directly observed, an adequate solution with a limited amount of data must be found using statistical analysis techniques. In the mid-1700s, an English cleric named Thomas Bayes formulated a probability theorem that was of use to not only the gambling members of his flock but also in later years to the Enigma code breakers of World War II, and in our day complex GIS analysis. This presentation briefly overview the use of the Bayes' Theorem in GIS multivariate analysis geoprocessing tools.

 

Market segmentation utilizes census demographics and marketing information to categorize broad sets of populations into groups that have similar lifestyles and marketing behaviors, such as their preferred places to eat or shop, TV programs they like to watch, and more.  In 2015, the Arizona Department of Child Safety (DCS), with the help of the Arizona Department of Economic Security GIS program, utilized ESRI Tapestry to create market segmentation reports based on their foster families.  The intention of the reports was to help foster home recruiters better understand the demographics and marketing behaviors of their current foster families with the objective that this information would help recruit additional foster parents.  This presentation will provide an overview on how ESRI Tapestry was utilized to meet the goals of the project and lessons learned when working with the data.

 
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File Size:
10.44 MB

With Insights for ArcGIS, you can quickly discover the secrets your data holds. Visualize, analyze, and tell your story like never before.  This session will give a quick overview of Insights for ArcGIS.

 

webGIS portals such as ArcGIS Online and ArcGIS for Portal allow organizations to store and curate increasing amounts of geospatial data. These portals do not offer administrators the ability, however, to see how items are related to and dependent upon one another. For example, a Story Map is authored by a web map which in turn contains one or more Feature Layers which point to an ArcGIS Server instance and enterprise geodatabase. Errant mis-handling of an item (e.g., accidental deletion of a feature class) could propagate across a portal and cause multiple maps and apps to cease functioning.  Using the ArcGIS API for Python and d3 Javascript library, the City of Tempe has developed a web application which allows organizations using ArcGIS Online and ArcGIS for Portal to map relationships and inter-depenendecies between their online GIS content. Displaying a portal's items as an easy-to-use collapsible tree diagram, with each unique item represented by a node, a user may navigate how a given piece of content relates to a different piece of content with both 1:1 and 1:Many relationships represented.  By providing webGIS administrators with an easy-to-use interface, this application will provide for more effective management of an organization's enterprise GIS.

 

Address databases are ubiquitous throughout government and the private sector.  When geocoded, they allow users to see patterns in the those databases, both visually or by using geospatial analysis tools.  This additional information can be used to improve service and increase profits. However, many of these address databases may contain errors that prevent proper geocoding, especially those coming from free-form data entry systems.  TSSW has been working with ADHS to process their customer databases to ensure consistent reliable geocoding.  We are experimenting with an approach that combines a “Dirty Address” database, along with sophisticated parsing, cleaning and matching algorithms to correctly match a given raw address with a cleaned and standardized version including x,y coordinates.  In addition, the approach can handle non-civic addresses, such as parcel numbers, township range and section, and even subdivision and lot references.  In this talk, we will discuss the design and implementation to date, along with our test results.

 

Preparation of land parcels for loading into a Parcel Fabric Data Model requires a good understanding of the quality of your source parcel data. Categorization of parcels by type prior to loading is an important step and the utilization of required topology rules insures a successful loading of parcels.  Adding the public land survey framework and control points will set the stage for performing parcel adjustments and improving the spatial location of the Parcel Fabric.   These key points along with the how to take advantage of the Local Government Data Model when loading will be demonstrated during this presentation.

 

A GIS Professional is weighted with the monumental daily task of working with spatial data. Whether its stewardship, maintenance, collection, or analysis, these roles play a crucial part in the ultimate goal of GIS data becoming information. So how does one responsibly facilitate this transformation from data into information?  As a GIS user or GIS Professional, we must understand the relationship between data and output such as a hard copy map or a digital application like a web application; all of which have the intent of providing information.  Regardless of what link you are in the GIS data supply chain, I feel it is vital that the GIS data provides the necessary parts to build accurate, precise, and useful information (your love).  Whether GIS data used in daily projects or working towards long term goals, a robust GIS data chain provides support for stronger analyses, and the ability to be used in strong confidence analysis. I will explore the importance of facilitating data standards such as attribution, schema, and datatypes at the source to provide unencumbered and powerful analyses downstream. When following such standards I will explore how the GIS data support the goal of analysis.

 

Salt River Project (SRP) is the oldest multipurpose federal reclamation project in the United States, managing a 1,281 mile canal, lateral and drain system used for the delivery of water to its shareholders, municipalities and residential customers. SRP's Cartographic and GIS Services department has developed a series of upstream geometric network tracing tools to facilitate infrastructure dry-up for emergency and routine maintenance operations. This tool gives users the ability to identify potential water inflows, control structures, and other mechanisms that allow them to divert or stop water flowing to any chosen location. Historically a manual process, then automated using ArcGIS ModelBuilder, the Dry-Up Tool has recently found its way into the ArcGIS Python add-in environment. This presentation will detail how the geometric network tracing of the infrastructure was automated, and discuss why Python Add-ins were required and how these add-ins enhanced both the product and the end user experience.

 

While the use of sUAS represent a significant advancement in geospatial data collection and mapping, there are characteristics of their employment that may confound data collection reliability and ultimately the end product of that collected data. Some of these characteristics include environmental factors such as weather and lighting, parallax shift extraneous to the movement of the sUAS sensor, and data volume. Beyond data collection, additional challenges emerge when the decision-making to use a sUAS for mapping is evaluated outside of a remote sensing context. Furthermore other challenges crop up with processed data: techniques to ground truth extremely high geometric resolution data become very challenging as very small features are classified and identified, limits on the geographic size of projects, and translating rendered data to fulfill clients' needs. The aim of this presentation is that a greater understanding of these challenges will allow sUAS operators to improve their decision-making process and data collection techniques, thus ultimately providing superior geospatial products to their customers.

 

How can my organization leverage the usefulness of the sUAS platform in collectiong geographic information? Where do I go for more information? How can I get started? These are real questions that are challenging professionals in infrastructure, security, engineering, natural resources, and many other aspects of our business and economy.  Come and enjoy an open presentation by Arizona sUAS professionals and customers as they share how they jointly tackled these questions in an innovative and productive “experimentorium” approach.

 

The National Map is a collection of digital public domain base mapping resources available nationwide.  Two of the more dynamic National Map data themes are elevation and hydrography.  Both datasets offer new content and opportunities for states.  The 3D Elevation Program (3DEP) drives the elevation theme and funds are planned to be made available again later this year for new high resolution lidar-based elevation data.  The 3DEP Broad Agency Announcement will allow organizations to partner with USGS and other federal agencies to acquire new lidar data.  The National Map hydrography theme is represented by the National Hydrography Dataset (NHD) and the Watershed Boundary Dataset (WBD).  2017 adds a new hydrography dataset, NHDPlus High Resolution (NHDPlusHR).  The new NHDPlusHR is a 1:24,000-scale dataset bringing in many additional features.  NHDPlusHR is being made available by hydrologic regions, and Region 15, covering most of Arizona, is now available for download.  The dataset adds value added attributes, elevation catchments, mean annual flow and velocity data, and much more.  This presentation will provide the latest status on 3DEP and details on the new content in NHDPlusHR.

 

The first part of the presentation describes the complex process of geocoding the charter schools. This required an accurate and current address list of all Arizona charter schools, which was obtained by communicating with multiple state agencies. The charter school information available, and not available, to the public from each agency has to be clarified in a time consuming process. If current database practices for charter schools within Arizona go unchanged, the database created in this project will be available to the public (updated each October) to enable new research.  The second part of the presentation offers an example of how the charter school dataset might be used. By geocoding all of the Arizona on-site charter schools, spatial relationships between the charter schools and their location within rural school districts could be analyzed. Traditional school districts were analyzed and ranked by the percentage of rural land within attendance borders. Attendances of all charter schools were paired against the rural locales through spatial analysis. Due to results of paired analysis suggesting possible effects to school districts in similar locations, enrollment percentage changes to urban and rural school districts were compared and vulnerable districts were identified.

 

Nestled on 140 acres in Papago Park, Phoenix, the Desert Botanical Garden is home to over 4,000 different species and nearly 30,000 individual plants, including over 1,000 of Arizona's iconic Carnegiea gigantea (saguaro). Every February, the garden's GIS specialist engages twenty volunteers in an extensive effort to document and care for the Garden's saguaros. , In the first year of the inventory, the initial process of locating, mapping and tagging each plant took 18 months. With the map and tags now in place and the adoption of Esri's Collector for ArcGIS app, the yearly data collection is carried out efficiently in two weeks.  Volunteers use iPads running Esri's Collector for ArcGIS App to navigate and enter observations including saguaro height and condition. The app also facilitates maintenance tasks such as caging to protect young saguaros from herbivory. The Collector App has vastly improved the efficiency of the inventory, making it a sustainable long-term project. Garden volunteers adopted the new technology remarkably quickly. Results from the inventory have led to an improvement in care for the Garden's saguaro population. The presenters will provide insight into the benefits and the challenges of using Collector for ArcGIS for map-based data collection projects.

 

The Opioid Epidemic has been gaining much news exposure.  This session will discuss what local governments and other organizations are doing with GIS to aide in this effort to tackle the epidemic.

 

Anybody who has used ArcGIS Online and Collector knows they are powerful tools. They are also not without their limitations, namely no error checking tools and no easy access to tabular data in the field. With the use of some simple HTML/JavaScript/CSS/PHP code, we can bolster these applications to provide solutions to both of these limitations. This presentation will walk you through the process of writing these utilities and provides valuable resources your organization can draw from. The case study used will be -œUtilizing ArcGIS Online and Collector for Recording Water Meter Reads in Casa Grande, AZ-. It is a real-world example of leveraging custom web development to provide error checking tools that allow for a more efficient use of staff time and resources.

 
 
 
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