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Additional Registration Information:

Hotel Block Reservation

   NOTE: The room price should be $169/night if you are getting KAMP's special rate. 

If not, call the hotel and reference the  group code KYGIS.

A Knowledge Worker's Guide to Visual Management

Tim Nolan

Visual Management is the application of Lean and Agile practices to build new ways of working for individuals and teams on-the-fly” (Modus Institute).

In this highly interactive workshop, we will concentrate on…

· How are we as professionals doing the right work?

· How do we come to alignment?

· How do we make decisions?

· Do we understand the work to be done?

· How do we prioritize our work?

· When is it to be delivered?

· How complex is the work?

· Where might the work stumble?

· Can we see what is important?

We will take a systems thinking approach to the complexities of new/unexplored work, (mis)understanding, decision-less meetings, interruptions, prioritization, communicating decisions, and the difficulty of collaboration. We will introduce the system of communications, the system of meetings, and the system of doing the right work at the right time.

We will conduct practical exercises that focus on visualizing our work and limiting our work in progress. We will look at value stream mapping as an effective visualization and put those visualizations into action. There will be exercises to harvest ideas and tackle sticky problems. Ultimately, we will turn learning into action.

Using GeoAI and Deep Learning

Demetrio Zourarakis

This workshop offers a sweeping view of the foundations of machine learning and deep learning, followed by an overview in detail of the integration of the use of Artificial Intelligence (AI) in GIS, also known as “GeoAI”. The content is mainly from the perspective of the rapidly expanding and ever more diversified GeoAI tools inside the ArcGIS platform. The focus will be on learning the basics through brief presentations with examples of applications of machine learning and deep learning using tools already in existence within ArcGIS Pro.

Arcade, and other Scripting Tools

Vince DiNoto

This workshop will explore the basics of scripting languages and their use in geospatial projects to include but not limited to:

· Building Pop-ups that are dynamic in different applications.

· Understanding the formatting of Arcade using the Arcade Sandbox

· Why do I need to improve my workflow using Python Notebooks

· Is Model Builder still a useful tool?

Best Practices for GIS Project Planning and Management

Pete Croswell

This half-day workshop cuts through the theory and fluff to present, in practical terms, the essential practices for successful GIS project planning and management. Its intent is to provide project managers, teams, and stakeholders with the key actions, methods, and tools to launch and execute successful projects -- delivering results on time and on budget, providing valuable deliverables to the customers and user community. It is applicable to all types of GIS projects and covers the following topics:

· Business Needs and Strategic Foundation for Projects

· Choosing and prioritizing projects

· Defining scope, purpose, context

· Workplan preparation

· Estimating/assigning resources

· Project tracking, status reporting, and communications

· Procurement for GIS projects

· Project quality management

· Project closure.

Fun Exploration of KyFromAbove Data With Python and Other Tools

Ian Horn

The Kentucky From Above Program has acquired Imagery and Elevation Data for the Commonwealth since 2010. Over the past two years, we have transferred the data from a compressed version stored on FTP/Box.com to cloud-friendly formats (COG, COPC) on AWS via the Open Data Registry. This workshop will explore some Python notebook-based tutorials on accessing data from the AWS platform.

In addition, topics such as leveraging KyFromAbove Open Data using STAC, Titiler, and other tools may be explored.

Building a Dashboard from a Survey and doing Boolean Algebra

Vince DiNoto

How often have you driven down a highway and seen a historical marker? Reading the information is impossible? Relating the information to other markers is impossible.

• What did the maker say
• How does it relate to the community
• How does the marker relate to the overall picture of history

This workshop will explore from collecting information, building informative pop-ups, displaying information in a Dashboard, and using logic to tie components together.

The presentation will also explore some of the new tools available in Survey123, web mapping, and Dashboards.

Mapping and Positional Accuracy: What You Don’t Know May Hurt You

Ben Shinabery, Pete Crosswell, and Demetrio P. Zourarakis

Land Surveying - With the recent adoption of drones into modern mapping, many geospatialists, including land surveyors, have the power to map small or large-scale areas with their thumbs. The ease of technology is driving not only drones, but also industry. Problems arise when land surveyors do not understand how to accurately locate or validate the data outputs. Furthermore, GIS industry may not understand the legal implications of practicing surveying without a license by flying their drone. Our workshop is for all geo-professionals interested in knowing and understanding how drones fit into the legal specifications of the land survey industry. This workshop will give information on the laws, policies, and even delve into practical ways of verifying the precision of the end delivered map.

GIS Professional Practice - A plethora of geospatial information is constantly created by the use of different geospatial technologies. The resulting accuracy of that information is often viewed as a quality implicitly or explicitly expressed in cartographic and visualization products created. This part of the workshop will deal with the topic of the degree to which adherence to different types of geospatial information standards is required in the creation of professional products that stand to scrutiny. Existing standards and specifications (e.g., ASPRS, USGS) for different data layers used by GIS professionals, their relation to metadata, authoritative/validated datasets, and their implications for different use cases will be discussed.

Project Management - Geospatial data here, there, and everywhere! GIS professionals, practitioners in all fields, and average citizens today are confronted with a wealth of spatial data from a wide range of sources: imagery, and data collected from satellites, aircraft, and unmanned aircraft systems (UASs), a.k.a. drones; digital GIS data from government agencies and utility organizations; special purpose map data from private companies; etc. Very often this geospatial data is made available without clear information about its content or quality. If comprehensive metadata is compiled, it is often not easily accessible, and users fail to consult it to understand the nature of the data they are using and its suitability for certain applications. Data quality concerns of most importance are related to some of the metrics addressed on the metadata (e.g., spatial accuracy, completeness, currency, etc.). GIS professionals must become more familiar with and aware of these standards and how they apply to different data products and projects. This workshop will introduce some key topics on the theme of the relation of geospatial data quality and standards, including:

• Brief tutorial on spatial reference datums and coordinate systems
• Explanation of key spatial data quality parameters
• Exploration of absolute versus relative accuracy, and how this impacts a collection and use
• Examples of different GIS applications and how they impact data quality requirements
• Overview of key professional on standards, organizations, and special data standards that they provide (e.g., ASPRS, FGDC, ISO)
• Practical issues in the collection and use of spatial data collected from UASs
• Recommendations for users in preparing specifications for data collection and processing, and for the use of special data from different sources
• A discussion on standards in relation to field data collection