South Central Arc User Group


Established 1990

Course Descriptions

Conference Registration Required for all Training Courses

 Training Classes will be held on September 18-19, 2019

Click Here to Register for the Training!


Introduction to R for Data Visualization and Exploration

Eric Pimpler, Geospatial Training Services  (2 days) – $450

Class will be held on September 18-19, 2019 from 8:30 am - 5:00 pm

Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy.  R has become the preferred software for data science, thanks to its open source nature, simplicity, applicability to data analysis, and the abundance of libraries for any type of algorithm.
From government and universities to new start-ups and big tech like Google or Microsoft, the use of R big data and data science has become a standard tool.  R is a simple and powerful language, but, it can be slow and inefficient if not used properly. This class introduces you to the foundations of R programming, but also focuses on the efficiency of data processing.
This course will allow the student to learn, in detail, the fundamentals of the R language and additionally master some of the most efficient libraries for data visualization in chart, graph, and map formats. The student will learn the language and applications through examples and practice.  No prior programming skills are required.

GISP Credits Attend 2 day training : 16 hours - EDU - 0.4 credits

ArcGIS Basics I

Pamela Jurney, Cross Timbers Consulting (2 days) – $450

Class will be held on September 18-19, 2019 from 8:30 am - 5:00 pm

This two-day training course is designed to meet the needs of people who do not have a GIS background but find themselves working increasingly with ESRI ArcGIS software.  In this course, students will learn the basics of operating ArcMap 10 and data management within ArcCatalog.  Prior knowledge of ArcMap is not necessary, and classes will be small with individual help available from the instructor.  Students need some experience with internet navigation and Microsoft Excel.  Students will leave the training course with knowledge to access data on their own, to create their own cartographic representations of information, and to trouble-shoot potential problems. 

Course highlights

  • Map Creation
  • Map Layout Design
  • Finding and Accessing Available Data Online
  • Joining Tables
  • Defining Projection
  • Basic Geodatabase Setup
  • Digitizing Data / Feature Creation
  • Editing Data

GISP Credits Attend 2 day training : 16 hours - EDU - 0.4 credits

GISP Test Prep

Jennifer Harrison, TeachMeGIS   (2 days) – $450

Class will be held on September 18-19, 2019 from 8:30 am - 5:00 pm

Course Description:
  • GISP Certification Overview – The GISP Certification Process
  • GISCI Geospatial Core Technical Knowledge Exam Overview – Basic overview of the exam (Registering for the exam; How the exam is administered and how the exam is scored)
  • KA1: Geospatial Conception Foundation - Review of essential geospatial concepts. (Spatial relationships; Spatial data models; Change detection, managing geographic data uncertainty; Earth geometry, including geoids, ellipsoids, and spheres; Georeferencing systems, including coordinate systems, projections, and horizontal and vertical datums)
  • KA2: Cartography and Visualization – Review of mapping and visualization concepts and best practices (Contour mapping; Basic physical geography; Data collection methods impact on map design; Thematic mapping and other graphic representation techniques; Map design; Classification and symbolization techniques)
  • KA3: GIS Design Aspects and Data Modeling – Review of GIS design. (Data exchange procedures; Data security; Database administration; Systems architecture and design; The enterprise environment; Database schemas and domains; Digital file management; Database design; Database structure; Geospatial data structure; Benefits and shortcomings of the various GIS application formats (i.e. desktop, cloud, server, etc.); GIS hardware and software capabilities; Data models)
  • KA4: GIS Analytical Methods – Review of basic geometric and mathematical principles on which GIS is based. (Overlay analysis; Planar geometry; Algebraic formulas; Basic statistics; Programming concepts; Raster/vector principles; Map scales; Units of measurement)
  • KA5: Data Manipulation – Review of the data types and the considerations involved in data conversation and transfer. (Attribute and spatial queries; Geospatial data types; Field types; Data relationships; Data collection, transfer, and conversion; Data accuracy, resolution, and precision)
  • KA6: Geospatial Data – Review of geospatial data types and basic geomatics. (Metadata standards; Quality control vs. quality assurance; Data archiving and retrieval; Geoprocessing data (join, merge, etc.); Basic geomatics; Basic field data collection procedures and GPS technology

GISP Credits Attend 2 day training : 16 hours - EDU - 0.4 credits


| SCAUG is a not for profit organization dedicated to benefit users of ESRI’s geographic information software | Founded in 1990 | © SCAUG 2009 |
| South Central Arc Users Group | P.O. Box 96 | Ardmore, OK 73402  | Fax- 214-291-5659 | Email Webmaster | SCAUG Email |

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