TUgis Conference is committed to supporting GIS professionals through training and professional development opportunities. Training sessions are filled on a first come, first served basis.
Half- and full-day training sessions will take place on Friday, August 14 at an additional cost of $30 for half-day sessions and $60 for full-day sessions.
Please note: All students must be able to provide their own technology, have access to the software required, or be able to load the software required. Please review the general course requirements and the software requirements before registering.
General Course Requirements
- All attendees will be responsible for their software and technology requirements.
- All training materials including sample data files that will be used for this course will be provided at a minimum of 5 days prior to the training.
- All software and data files must be loaded on to your device and tested prior to the training.
- Any problems must be resolved prior to the start of the training.
- Instructors will not be able to address software issues during the training.
- ArcGIS online organizational accounts will be provided for the training if needed.
Full Day Training Options, 9 a.m.–4 p.m.
Instructor: Art Lembo
An all day workshop in statistics? Seriously? Did the workshop in watching grass grow sell out?
No, this isn’t a joke, we really do plan to spend the day talking about quantitative analysis and statistics in GIS. The term data analytics is the hottest buzz word in GIScience today, and its foundation is statistical analysis. If you don’t have a basic grasp of statistics for geospatial data, you risk coming to erroneous and embarrassing conclusions, or simply under-utilizing the spatial data in your possession. Data analytics is your ticket to a better career, better decision making, and uncovering trends you never knew existed.
This workshop is designed to help non-statisticians understand and use the powerful quantitative tools for working with spatial data. At the end of the workshop, students will understand how to formulate hypotheses with spatial data, articulate the role of descriptive and inferential statistics in quantitative analysis, conduct a quantitative GIS project utilizing a number of inferential techniques, and interpret the results of various statistical tests.
In this workshop where we’ll work together to formulate hypotheses, learn to let the data talk to us by describing and classifying data, and apply different sampling strategies for data collection. From there, we’ll make inferences from sample data to validate our earlier hypotheses and also conduct tests for statistical differences, relationships, and spatial model evaluation. To accomplish this, we’ll use local data from Maryland, and even survey data from the conference. We’ll explore a number of different examples that specifically relate to GIS.
Don’t worry, this isn’t a math course. There are no formulas to memorize, or even work out—the software does that. This workshop teaches you what these tests mean, and how to conduct your own quantitative tests. So, whether you want to use Excel, SAS, R, Minitab, or ArcGIS Pro, you’ll be equipped to understand what the appropriate tests are, how to use them, and how to interpret the results.
Three software options:
Instructors: Shawn Pickett and John Mann, Century Engineering
Have you ever wanted to try QGIS, but didn’t know where to start? In this full-day course, we’ll cover basic topics, such as:
- Loading data of various formats
- Editing attributes and geometries
- Setting up symbology and labeling
- Geoprocessing tools
- Working with basemaps
- Consuming web services, such as Esri Map and Feature Services
- Composing a map in QGIS using Print Composer
Beyond the basics, we’ll look at more advanced features, tips, and tricks, such as:
- Composing reports (similar to Data Driven Pages in ArcMap)
- Managing database connections and credentials
- Optimizing a project file for use by multiple people
- Installing plugins and some essential plugins for getting started
- Additional features that set QGIS apart from similar products
- Resources for further exploration/learning
- LTS version of QGIS 3.10.x (Free downloadable software)
Instructor: Christina Nemphos, Center for GIS at Towson Univeristy
This full-day course is intended for individuals with a basic knowledge of ArcGIS Online and will cover:
- Discovering data through Open Data Maryland, the MD iMAP GIS Data Catalog, and the ArcGIS Online platform
- Creating and managing hosted feature layers and web maps in ArcGIS Online
- Using ArcGIS Online analysis tools to generate drive-time areas, overlay layers, and perform spatial and attribute queries
- Creating simple applications using Web AppBuilder
An introductory level ArcGIS Online course (Thinking Spatially) can be accessed via MD iMAP.
- ArcGIS Online
- ArcGIS account (Arcgis online organizational accounts will be provided for the training if needed)
Morning Half Day Training Options, 9 a.m.–12 p.m.
Instructors: Tim Loftus, Solution Engineer & Alex Brown, Solution Engineer, ESRI
ArcGIS Experience Builder allows you to quickly build map-centric or non map-centric apps without writing a single line of code. Choose from a rich set of widgets, design your own templates, and interact with both 2D and 3D content—all in one app. During this half-day session we’ll walk through what Experience builder is and what we have planned for the future. You’ll also get hands on experience with a variety of capabilities, including using templates, themes and leveraging a variety of data types (both 2D and 3D). You’ll also learn how to connect data with widgets and explore a variety of layout options for all devices. Finally, you’ll publish and deploy your very first Experience.
- Web browser Chrome (Do not use IE)
Instructors: Karl Keller and Pat McLoughlin, JMT
Terms like big data, analytics, and internet of things (IoT) get thrown around quite often, without a clear understanding of how the technologies are applied, or how they relate to our work. This half-day workshop aims to provide clarity with a high level of introduction to emerging technologies in location based industries, including setting up pipelines or streams to big data, performing analytics with the data, and creating clear and useful visualizations to help bring the data to life. This workshop is design for anyone who has been looking to dive into the analytics space, but not sure how.
Instructor: Logan Hall, ESRGC
This half-day course teaches best practices in working with available topographic LiDAR in the State of Maryland. In this workshop, you will learn how to access the latest topographic LiDAR data in Maryland for preparing, downloading, and processing on their local machine. We’ll start by downloading compressed LAZ format point cloud data, extracting LAS files and organizing the data efficiently for further processing in the ArcGIS suite.
You will explore point cloud data in ArcGIS Pro, generate surface models, create contour workflows, and navigate the various built-in raster functions. You will also build LAS and mosaic datasets, exploring the functionality of each. The last section of this course briefly covers developing custom LiDAR-focused ArcPy script tools and leveraging map algebra for efficient raster processing.
- ArcGIS Pro
- ArcGIS account
- LasTools (Free downloadable software)
Afternoon Half Day Training Options, 1–4 p.m.
Instructors: Anthony Dowell and Christopher Pawlowski, AECOM
Asset management is becoming an increasingly important focus for agencies and organizations as they look to optimize their budgets, maintain their existing assets, and invest in new improvements and projects. This half-day session will provide attendees with an introduction to key asset management principles, terminology and best practices, with a focus on the role that GIS data, systems and professionals play within the asset management lifecycle and framework. Esri ArcGIS Desktop and Innovyze InfoAsset Planner software will be utilized for hands-on exercises, with a focus on asset management for water/wastewater utilities.
- ArcGIS Desktop version 10.3 or above
- Innovyze InfoAsset Planner (Installations & temporary licenses provided by AECOM)
Instructor: David Ramos, Professorial Lecturer in Graphic Design, American University, Washington, D.C.
Decisions about color, type, and representational techniques all shape a map’s readability and effect. In this half-day workshop, we’ll learn about principles of color, typography, and graphic representation. We’ll talk about excellent examples of both reference maps and thematic maps from a range of disciplines. You’ll work through type and color exercises, then apply these principles to mapping problems in your usual GIS environment. The hands-on portion of this workshop assumes at least basic proficiency with your choice of visual GIS/mapping software (like ArcGIS, QGIS, or Illustrator).
Three software options choose one based on the software currently used:
- QGIS (Free downloadable software)
Instructor: John Buckley, McCormick Taylor
This workshop will introduce participants to several open-source GIS tools with a focus on PostGIS and QGIS. It is designed for users with a basic understanding of GIS who may be interested in learning more about open source alternatives to ArcMap. Users interested in surface water modeling or analyzing large datasets using SQL are also welcome. We will load raster and vector data into a PostGIS-enabled database and visualize it in QGIS. Using freely available elevation data, we will delineate basins, streams, flow accumulation, and flow direction layers for a local watershed using GRASS and QGIS. Finally, we will calculate downstream flowpaths and upstream drainage areas using just SQL, and we will visualize the outputs in QGIS. Throughout the workshop, I hope to share the many tips and tricks I have learned through years of using these great open source packages. Time allowing, we will look at how these same tools and techniques can be used for flood mapping, climate modeling, and analyzing all types of large spatial datasets.
Software should be installed and sample data downloaded before the training. Installation instructions and sample data to be used during training will be provided via Blackboard.