Class Details
GIS Course: Intermediate
Course summary
Ready to take your Geographic Information Systems (GIS) and spatial data skills to the next level? The intermediate GIS course provides students with in-depth training in GIS, to meet the needs of 21st-century spatial analytics. This course enhances the toolkit of IT professionals, managers, and others, empowering them to derive actionable insights using spatial data.
This course follows the initial GIS Introduction course offered by CCE. Topics include geoprocessing tools, automation of spatial processes, raster imagery, metadata management, and more. The course uses the ArcGIS Pro software.
Developed by ESRI, this software supersedes legacy ArcMap products and will make it easy to use for those already familiar to existing ArcMap users.
Aims
This course aims to provide you with a deeper understanding of GIS techniques. It aims to increase your confidence, efficiency, and proficiency in working with spatial data, enabling you to meet the ongoing demand for critical GIS skills.
Learning outcomes
By the end of this course, you should be able to:
- create ArcGIS Pro projects
- edit spatial data
- define and edit data schemas to define new spatial data sources
- work with and process other spatial data formats like KML and GeoJSON
- use and process raster spatial data
- build automated geoprocessing tasks in ModelBuilder, Python programming or R programming.
Content
Review of GIS Introduction course
Setup and tour of ArcGIS Pro
- Project creation
- The ArcGIS Pro interface
- Base maps
- Navigate tools
- Inquiry tools
Editing data
- Editing spatial geometries
- Editing feature attributes
Data schemas
- Fields view
- Adding, calculating and deleting attributes
- Creating centroids
- Standard joins & Spatial joins
Other spatial data formats
- XY coordinates, KLM, json/geojson
Raster data
- Converting features to raster data
- Extract by mask
- Reclassifying
- Raster analysis
Programmatic GIS
- ModelBuilder
- Python programming language
- R programming language
Who this course is for
This course is designed for industry professionals and managers looking to enhance their GIS and spatial data skill set or those looking to upskill for labour market competitiveness.
Prerequisites
It is assumed you have completed CCE’s GIS: Introduction course or have equivalent knowledge.
Delivery style
Taught over one day, an interactive workshop that includes lectures, individual exercises and discussion.
Materials
All course materials and files are available electronically (via Dropbox).
Delivery mode
Face-to-face, presenter-taught training in a computer lab. You will be provided with ArcGIS Pro software login details for the day of the course.
Recommended reading
Bolstad, P 2016, GIS Fundamentals: A First Text on Geographic Information Systems (5th ed) XanEdu Publishing.
Gorr, W and Kurland, K 2023, GIS Tutorial for ArcGIS Pro 3.1 ESRI Press.
Van Maareseveen, M, Martinez J, and Flacke, J 2019, GIS in Sustainable Urban Planning and Management: A Global Perspective, Taylor and Francis.
Sessions
Location
Face-to-face (CCE Building, Sydney)
Public transport
As bus and train timetables regularly change, we suggest you visit the Transport for NSW trip planner before you set out.
The nearest train stations are Newtown Station and Macdonaldtown Station. Macdonaldtown Station is closer by distance than Newtown Station, however trains do not stop as frequently as at Newtown Station.
Other information
Parking
Nearby parking is available at Wilson Parking - RPA Medical Centre Car Park (entry via Elizabeth Street off Carillon Avenue).
A Flexi Saver Rate is available but must be booked in advance online and includes the booking fee. Bookings can be made via the Wilson website or by downloading the Wilson Parking App. Otherwise, hourly parking rates will apply, as advertised on the Wilson Parking website.
Meet the facilitators
Paul Yacobellis
Paul Yacobellis has been helping professionals optimise their personal productivity for the past 10 years. He has assisted management and individuals implement time saving, energy maximising techniques. He has lead training sessions that cut out wasteful time, reduce stress, and increase overall well-being. Paul’s techniques range from technical to behavioural.
Paul also has experience in data mining and big data analytics, statistical computing, economic/econometric consulting, spatial statistics and Geographic Information Systems (GIS), transport modelling, and business development. He has consulted with government agencies, private corporations and universities, and has previously taught statistics, mathematics, economics and computer science at the University of Central Florida, Orlando.
Paul holds a Master’s in Statistical Computing (Data Mining track) and a Bachelor of Science in Economics and Mathematics.
When not sharing his passion for enhanced personal productivity, Paul works fulltime as data scientist and enjoys parenthood, long-distance running and reading great books.
