MAGIC 2014 Short CoursesHome :: 2014 Symposium
Short courses are offered as an addition to conference registration:
- Full-Day With full registration: $150
- Full-Day without full registration: $250
- ½-Day with full registration: $75
- ½-Day without full registration: $125
Labs are hands-on instructional courses with exercises and examples you will use in class. You can bring your own laptop to the course if you desire. Your laptop must be loaded with the latest version and service pack of the software you will be using. The instructor will contact you with what to install on your computer.
Classes are instruction only environments.
**Short course numbers and abstracts were last updated on 04/16/14.
Sunday, April 27 (Full Day) 8:00am - 5:00pm
101. Introductory Geoprocessing with Python/Introduction to Python for ArcGIS (Lab) - Brett Lord-Castillo, St. Louis County, MO & Dan Haag, Esri
Introductory Geoprocessing with Python: This course will get you up and running with python in four sections. We still start with installation, including installation with ArcGIS, integrated development environments (IDEs) and where to find more help. Next, we will cover basic syntax, import statements, writing functions, and adding additional libraries and site packages to your installation. For the third section of the class, we will dive into python programming basics: variables, scopes, datatypes, flow control, debugging, and error handling. The class will wrap up by covering common data structures and an introduction to libraries with the widely used os and datetime modules. You should have a very basic understanding of script writing, as we will be up and running with our own scripts by the end of the class. Knowledge of basic flow control (if-then-else, for loops, while loops) is recommended.
Introduction to Python for ArcGIS: Python scripts can reduce the time spent on complex or repetitive tasks, enabling you to be more productive. This course teaches how to create Python scripts to automate tasks related to data management, geoprocessing and analysis, and map production using ArcGIS. You will also learn how to share your Python scripts so your key GIS workflows are accessible to others. We will also search and leverage existing scripts to help you create more efficient workflows.
Sunday, April 27 (Half-Day) 1:00 - 5:00 p.m.
102. Getting to Know ArcMap...Just the Basics (Lab) - Heather Schafer, Boone County, MO
Making a map with GIS is like playing the piano; somebody else has done the difficult job of making the tools, you just need to know what buttons to push. New ArcMap users will learn basic skills to work with data and create map projects that are sharp and do not fall flat.
Topics that this workshop cover include:
- Working with ArcMap documents (opening, saving, etc.)
- Main Components of ArcMap (menus, toolbars, table of contents)
- Working with Data (basic types, data sources, adding data, attribute tables, layer properties)
- ArcMap Tools (zooming, panning, identify, measure, XY locations, bookmarks)
- Selecting Features (select feature tool, select by attributes, select by location)
- Queries and Expressions (SQL expressions, definition queries)
- Symbology (layer symbols, symbol selection, symbology based on attributes)
- Map Layouts (layout view, layout toolbars, data frames, layout elements)
103. Best Practices for Implementing ArcGIS Online (Lab) - Tim Hensley, Esri
ArcGIS Online is a platform for creating and sharing GIS maps, apps, and data-providing access to critical information throughout your organization. This hands-on workshop will explore how users can build and share maps with others, and incorporate ArcGIS Online into your organization's GIS workflows. This workshop will cover:
- Overview of ArcGIS Online
- Configuring your Organization
- Publishing and Sharing Content
- Embedding maps into an Existing Web Site
- Best Practices for Authoring Web Maps
- Leveraging Esri Maps for Office
- Working with Operations Dashboard and Collector for ArcGIS
- ArcGIS Desktop 10.1 or higher (preferably 10.2.1).
- Microsoft Excel 2010 or higher (such as 2013).
- Esri Maps for Office plug-in for Excel. http://www.esri.com/software/esri-maps-for-office/download
- The Operations Dashboard for ArcGIS. http://www.esri.com/software/arcgis/arcgisonline/apps/operations-dashboard
- Preferrably IIS, but this is not absolutely necessary.
- The laptop must have the ability to be WiFi enabled.
- Download and install the Esri Collector for ArcGIS app on a smartphone or tablet. The app may be used to view many of the exercise results, but it will be used specifically in one exercise for editing features.
The goal of the workshop is to have you walk away with a configured ArcGIS Online organization and at least one useful information product that supports current business needs in your organization.
104. Remote Sensing A to Z (Class) - Frank Obusek, Hexagon Geospatial
You might be familiar with the field of Remote Sensing, and you may use it a bit in your daily work. But have you ever taken the time to truly understand the various terms and concepts of Remote Sensing? What is NDVI, what is object-based classification, and so on. It's all covered in this course. Regardless of your prior knowledge, by the end of this course you'll have an operational understanding of the various techniques by which Remote Sensing enables us to process pixels and analyze imagery to produce insight and actionable information. Visual examples of each topic and technique will be shown in the ERDAS Imagine software.
105. LiDAR Track (Class) - Qassim Abdullah, Woolpert
The session will focus on demonstrating the fundamentals of LIDAR systems, performance, and methods of data usage. The goal is to provide a dynamic forum to address current and future LIDAR acquisition systems and acquisition parameters and to highlight capabilities on these new technologies. In addition, Derivative Products (combining LiDAR and Aerial Imagery) will be presented to highlight the use of combined products for feature extraction.
Monday, April 28 (Half-Day) 8:00am - 12:00 noon
201. Introduction to Working with Point Clouds (Lab) - Frank Obusek, Hexagon Geospatial
Point clouds, from LiDAR and other sources, have become standard geospatial datasets for GIS Professionals. Usage of this sort of data, and availability, expands with each passing year. So clearly it is a critical skillset to have - once you get your point clouds, what do you do with them to harness the value of this data? This entry-level course is designed for the point cloud beginner who has a need for a basic level of familiarity with, and skillset for, processing and utilizing point clouds. The LiDAR toolset within ERDAS Imagine will be used. This workshop will cover:
- What is LiDAR Data
- Accessing and Interpreting the LiDAR Point Cloud
- Multiple returns from LiDAR data and what they mean
- Basic QA/QC of point clouds
- Enhancing the LiDAR Point Cloud with RGB
- Generation of point clouds from digital stereo aerials
202. Intermediate Geoprocessing with Python - (Lab) - Brett Lord-Castillo, St. Louis County, MO
The intermediate python course will pick up from the basic course with writing your own modules and classes, including logging. We will examine the standard python library in more detail and cover file I/O, formatting, database cursors, multi-threading, and regular expressions. The second half of the class will cover how to install additional site-packages with easy_install and explore the arcpy library in more detail (including writing expressions for Field Calculations), as well as introduce numpy and GDAL. You should understand the concepts covered in the basic class as a prerequisite to this class. We will be writing our own module with object oriented class implementations to learn the concepts presented.
203. Introductory GPS and Mobile GIS (Class) - Jason Warzinik, Boone County, MO
This course will give attendees a basic introduction to the use of mobile Geographic Information Systems (GIS). Field data collection, Global Positioning System (GPS) tracking over imagery with a laptop or tablet PC, and the integration of digital camera imagery with GPS position and track data will be covered in this course. Researchers, county appraisers, law enforcement officers, first responders, and other governmental officials are encouraged to attend. No previous experience with GIS or GPS data collection is required, although familiarity with the data collection requirements or methods used by the participants' agency or organization is recommended. Attendees are encouraged to bring their iPhone, IPads, or Droid devices to the class.
204. Introductory Geodatabases (Lab) - Steve Marsh, MARC
This course introduces basic elements of a geodatabase, its structure, the storage options, and the attributes and spatial validation rules. Participants will explore the geodatabase structure and properties in ArcCatalog and ArcMap, as well as techniques to convert existing data into a geodatabase. This course is intended for those familiar with ArcGIS 10, those considering migrating to or just getting started with the Geodatabase data model.
205. GIS and Mapping A to Z (Lab) - Tim Haithcoat, University of Missouri
This hands-on 1/2 day lab will provide exposure to several of the myriad analyses and applications that can be done using GIS. Many people by now are familiar with the concepts of GIS and mapping, but their experience may be limited to a few areas specific to their profession. The intent of this course is to survey the wider range of applications to which GIS can be put. The 'tour' will include both raster-based and vector-based analysis and include watershed modeling, network analysis of roads and streams, siting analysis, spatial interpolation, geocoding, and viewshed analysis. Finally, we will briefly demonstrate newer geospatial applications for conflation, human geography analysis, and human movement models being explored at the University of Missouri's Geographic Resources Center.
206. ArcGIS Platform Best Practices (Class) - Dan Haag, Esri
How is success or failure of GIS measured in your organization? Building a successful ArcGIS platform implementation requires more than just knowing software features and hardware system requirements. As GIS has evolved to become a mission critical component to IT systems, the implementation of the ArcGIS platform requires basic architecture considerations at the GIS server and database tiers, as well as an understanding of the potential benefits of Cloud-based infrastructure and Software as a Service to extend the reach of your investment in ArcGIS. A successful ArcGIS platform implementation also requires contributions from both GIS professionals as well as IT Managers and decision makers.
This workshop will explore successful ArcGIS platform implementations that employ best practices for authoring, publishing and sharing geographic information to all of your users, whether they're working in the desktop, a web application or a mobile device. Additionally, we'll address important architectural considerations around the development of Service Level Agreements (SLA), environment isolation, deployment environments, security and business continuity. Whether you've deployed ArcGIS locally, in the Cloud, or both, this workshop will help you get the most out of your implementation.
207. Utility and Public Works Using GPS and Mobile GIS Workflows (Lab) - Jeff Tomlinson, Hexagon Geospatial
Public Works and Utilities organizations require enterprise applications to provide simple geospatial business workflows for engineers, planners, and field workers. The geospatial asset data for which users need access for viewing and updating will vary depending on the user role or geographic area. The required business workflows will vary as well based on user roles. Control of data access and user workflows must be centralized and managed across the enterprise to maintain productive and effective asset management. Server based applications using GeoMedia Smart Client technology are available today to implement asset management workflows including field inspection, redlining, data capture (including GPS), analytics, data editing with validation, and integration with other systems.
Come learn about this new approach to enabling enterprise geospatial applications for Public Works and Utilities Asset Management. Feel free to bring your own laptop, regardless of whether it has GPS built in. No software needs to be installed prior to the class.
Monday, April 28 (Half-Day) 1:00pm - 5:00pm
301. Advanced Point Cloud Processing and Analysis (Lab) - Frank Obusek, Hexagon Geospatial
This course builds on the Introduction to Working With Point Clouds course, providing additional analysis and processing techniques. The LiDAR toolset within ERDAS Imagine will be used. Topics to be covered include:
- LiDAR Point Cloud Classification
- Creating Bare Earth Elevation data and Contours
- Point Clouds gone Vector: Rooftops, Vegetation and Floodplains
- Spatial Modeling with Point Clouds
- LiDAR vs. Semi-Global Matching
302. Advanced Geoprocessing with Python (Lab) - Brett Lord-Castillo, St. Louis County, MO
This short course will be conducted in a graduate seminar style. Participants are asked to bring their scripts, data, and questions, and the group will discuss coding problems and topics of interest.
303. Census 2010 and American Community Survey (Class) - Craig Best, US Census & Sunny Farmahan
Learn about the vast amount of data produced by the Census Bureau and how to use the American FactFinder to access population, housing, economic and geographic information. Learn how to find data using a keyword search and a list search; modify the data tables to meet the user's needs; and download the data or save the query for future reference.
304. Advanced Geodatabases (Lab) - Steve Marsh, MARC
This course will explore the advanced capabilities of the geodatabase data model, highlighting the concepts of spatial and attribute validation. Topics also covered will be relationship classes and options for storing annotation. Participants will get hands-on experience creating subtypes and domains and creating and editing a geodatabase's topology. This hands-on-short course is intended for those with ArcGIS 10 experience and general familiarity with the geodatabase data model.
305. Introductory ModelBuilder (Lab) - Ken Wilkerson, GISEdge
Esri ModelBuilder (MB) provides a visual programming environment for combining data and tools to automate tasks or create custom scripts. This course will introduce MB processing with hands-on exercises demonstrating the creation of models ranging from simple to complex. You will learn how to quickly and effectively develop models that help you become more productive ArcGIS users. We will also introduce some of the new capabilities available at ArcGIS for Desktop 10 including model only tools and iterators.
306. Spatial Statistics (Lab) - Tim Haithcoat, University of Missouri
Spatial statistical analysis is a critically important tool for geographic research and policy analysis. Increasingly, new forms of spatial analysis are enhanced and enabled by developments in geographic information systems (GIS) and geo-visualization. This short course provides an introduction to spatial statistical analysis methods and the application of these methods in both human and physical geographies. Spatial statistics is the cover-all term for a diverse family of methods that describe and model characteristics of spatial data. In some cases spatial location is the only factor being analyzed (e.g. disease point pattern). In other cases the primary interests concerns an attribute present everywhere but sampled only at a subset of locations (e.g. DEM data). A third set of cases involves the analysis of data collected and stored in spatial zones (e.g. U.S. Census data). While these three cases are by no means exhaustive, they do represent the wide range of applications that we will deal with in this short course. Our objective is to learn and employ basic statistical techniques for describing, modeling, and analyzing point and areal data.
307. Transportation GIS (Class) - Ben Smith, BNSF & Jeff Tomlinson, Hexagon Geospatial
Join us for a half day exploration of Transportation GIS, focusing on Roadway and Railway GIS. The class will be co-presented by a GIS professional from each of these disciplines. This course will cover data collection through linear referencing, and also data sources such as GPS surveys, LiDAR data, and historical maps. Then we will focus on how you use the data through various disciplines of linear analysis, as well as specific applications such as fleet tracking, reporting, and cartographic output. We will also discuss uniting of linear and spatial analysis, and the future of linear geospatial technologies in Transportation. This comprehensive class will be of benefit for linear GIS users, but it is also very relevant for users in any discipline of GIS.
308. Open Source GIS - CANCELED (Lab) - Xiao Huaguo, Clay County, MO
This hands-on half day course will briefly introduce a variety of open >source GIS solutions and their strengths and weaknesses. Participants will then focus on desktop GIS, learn how free software can be used to work with GIS data, projection, GPS, spatial analysis and geoprocessing, and map creation. Previous GIS experience is not necessary though it is helpful.
Thursday, May 1 (Half-Day) 12:00 - 4:00pm
401. HAZUS Flood and Earthquake Tools (Class) - Shanna Michael, AECOM & Mike Eddings
Hazus is a loss estimation software package developed by FEMA to aid local officials and planners in their risk assessment and hazard mitigation planning efforts. This course will provide an introduction to the earthquake and flood models capabilities, the basic types of analysis that Hazus can perform, as well as the results that can be generated regarding the social and economic impacts of the hazards.
403. Cloud GIS (Lab) - Mike Schonlau, Douglas County, NE
Cloud computing (or hosted infrastructure) is rapidly becoming a viable platform for GIS organizations of all types. The flexibility, reliability, and performance of web-hosted infrastructure can provide a legitimate alternative for hosting and publishing GIS data, applications, and services. Attend this course to learn more about the differences between cloud infrastructure and local infrastructure, advantages and disadvantages, cost estimating, and tips and tricks. This course will focus primarily on cloud services from Amazon Web Services and GIS software from Esri.
404. US National Grid (Class) - Brett Lord-Castillo, St. Louis County, MO
The U.S. National Grid, endorsed by FEMA and the U.S. military, is an easy to use reference system for identifying and finding locations nation-wide. The use of USNG enables responders from across jurisdictions and agencies to speak the same language for location information. During this workshop, students will learn the fundamental concepts of the US National Grid (USNG) and the importance it holds in responding to local and multi-jurisdictional incidents. Participants will also learn how to read USNG coordinates and locate them on a map, participate in an outdoor USNG navigation course, see how to include USNG in map book development in ArcMap, and be introduced to tools that are available to assist with the use of USNG. Students will participate in a critical incident exercise where they will perform various tasks using the skills obtained in this course. This course is meant to introduce staff to the grid before there is a need to use it in your County or agency.
405. Cartography (Lab) - Shannon White, University of Missouri
Crafting a strong message is the essence of cartography. What are you trying to say with your map? Presenting problems and solutions through geographic data and analysis can pose a number of challenges for the GIS professional. This hands-on workshop will provide an introduction to cartographic fundamentals: representing data through colors, symbols, text, labeling and annotations; creating layouts with an introduction to design and best practices; and sharing your print and web mapping products to achieve your cartographic goals.
Disclaimer - Short courses are subject to cancellation due to low attendance.