Training

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 August 13 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

Instructor: Anthony Dowell and Christopher Pawlowski, AECOM

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.

Software Needs

  • ArcGIS Desktop version 10.3 or above
  • Innovyze InfoAsset Planner (installations and temporary licenses provided)

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 Needs

Half Day Training Options

Instructor: Tim Loftus and Mary McColley, ESRI

ArcGIS Experience Builder empowers you to quickly transform your data into compelling web apps without writing a single line of code. Build mapcentric or nonmapcentric apps and choose from a variety of widgets to design your own templates in both 2D and 3D.

Software Needs

  • Web browser Chrome (Do not use IE)

Instructor: 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.

Instructors: 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, Mapbox, or Illustrator).

Software Needs

Instructors: Art Lembo, Salisbury University

Esri software provides many different ways to solve similar problems.  Some approaches are conceptually simple to understand, other approaches might get the job done faster or provide more flexibility. In either case, there are many ways to solve a spatial problem. In this workshop we will explore the different ways to solve problems with Esri software.  In particular, we will solve a classic GIS task using the ArcGIS Pro GUI, Model Builder, and Python and compare the options.

Software Needs

  • ArcGIS Pro

Instructor: Art Lembo, Salisbury University

Open source GIS software provides many different ways to solve similar problems. Some approaches are conceptually simple to understand, other approaches might get the job done faster or provide more flexibility. In either case, there are many ways to solve a spatial problem. In this workshop we will explore the different ways to solve problems with open source software. In particular, we will solve a classic GIS task using the QGIS GUI, QGIS model tool, and the QGIS SQL engine and compare the approaches.

Software Needs

Instructor: Logan Hall, ESRGC

This half-day, pre-recorded 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.

Software Needs

2021 Conference

Discover new ideas and trends in a mix of engaging sessions, hands-on training, and networking opportunities.