Speaker:

Company:

SAIT & FORTISALBERTA

Forge a Partnership to put New Ideas on the Map

Dr. Verda Kocabas & Lauren Taylor

SAIT & FortisAlberta

Program Description

•The Bachelor of Applied Geographic Information Systems program (BGIS) provides the skills & knowledge to succeed in the GIS industry

• Spatial Analysis, cartography, databases, remote sensing, GIS programming, web & enterprise GIS, unmanned aerial systems

•2 year applied degree• Consists of two 15 week semesters. Paid practicum in year two.

•2 intakes per year• September (64 students).January (32 students)

Capstone Project

• Provides practical experience in the design, planning, development, implementation and presentation of a GIS project

• Industry format course• Learners are accountable for results, not only time spent• Students report to their client/instructor at regular intervals

presenting results, achievements and results

• Students work with an industry mentor• Mentors are members of industry (not just GIS) that share their

experience and knowledge to help students grow as a professional

Capstone Project

• The capstone project ties all courses and associated modules into a seamless term project. Some of the highlighted learning includes:• practical experience in the design, planning, development,

implementation and presentation of a project;• enhance technical skills through the application of course work to a real-

world project;• enhance soft skills through a mentor/mentee relationship with a real-

world industry client;• gain an appreciation for a typical GIS project lifecycle;• teamwork; and• leadership

Capstone Project

• The capstone project supports a wide range of industries• Utilities• Energy (Oil & Gas, Solar, Wind)• Government (Municipal, Provincial, Federal)• Non-profit• Forestry• Environmental• Transportation• Business• Agriculture

Capstone Project

• The capstone project course is co-taught by two instructors

• Wade Hawkins & Jamie Johnston-Stewart

• Groups can bounce ideas off one or both instructors

• Provides students with different perspectives

• Gives students a balanced approach to the project

FortisAlberta Overview

• Electrical Distribution Wire Owner (25kv and below)

• Provide service to 60% of Alberta

• 553,000 customers• 123,000 km of power lines• Operate in 200

communities• Mix of rural and urban

service territory

Why partner with SAIT Capstone Projects?

• Develop innovative solutions to our business challenges

• Way to jumpstart initiatives in our backlog

• Opportunity to prototype new ideas

• Try new technology/tools

• Learn Esri capabilities

• Solution proof of concept ideas

• Provide exposure to real world business problems

• Work with large data sets

• Gain practical experience

• Industry exposure

• Networking opportunity

Industry Partner (FortisAlberta) SAIT Students

Our GIS Environment

• Hybrid GIS Environment

• Utilizing Esri since Dec. 2016

• Focused on presentation and

collaboration

• Standardization of cartographic

products

• Leveraging analytical capabilities

to enable evidenced based

decision making and provide GIS

to non-operational users

Mapping for Field UseOperations Support

Speaker:

Company:

Lightning Strike AnalysisFor Electrical Asset Management

a SAIT Capstone Project with FortisAlberta

Darren Flach

Liam Perrott

Martin Reinartz

The Challenge

The Challenge

• Lightning damage occurs without causing outages

• May cause future outages if not inspected and repaired

• Need for analysis to facilitate damage inspection

Objectives

Lightning Strike Uncertainty Ellipse

Density: Lightning Strikes 2012 - 2015

Density: Lightning Outages 2012 - 2015

Asset Upgrade Locations

Priority Math

RESULTS & CONCLUSION

• Error ellipses, hot spots, clusters, density, setting, history

• Recommendations for asset upgrades

• Priority inspection in the post-storm environment

• Prevent outages: happier customers and cost savings

Our Capstone Experience

• Completed 13 capstone projects• Deployed custom widgets in portal• Implemented ArcGIS custom tools• Hired 3 SAIT practicum students• Hired 2 student for a one year GIS

contracting opportunity

Accomplishments

Thanks….. Questions???

Lauren Taylor| Sr. Regulatory Advisor Spatial Data Analytics

Lauren.taylor@fortisalberta.com

Tel: (587) 775-6304

Dr. Verda Kocabas| Academic Chair

verda.kocabas@sait.ca

Tel: (403) 284-8879

Liam Perrott | BGIS Student

Liam.perrott@shaw.ca

Thank you!

• Bambrick, G. (2016, January 21). [An Introduction to] Hotspot Analysis Using ArcGIS. In Geospatiality. Retrieved from https://glenbambrick.com/2016/01/21/hotspot-analysis-using-arcgis/

• Baran, I., & Stoica, S. (n.d.). Featuring the thunderstorm activity using lightning data provided by the Romanian Lightning Detection and Location Network. Retrieved from http://www.academia.edu/31330102/Featuring_the_thunderstorm_activity_using_lightning_data_provided_by_the_Romanian_Lightning_Detection_and_Location_Network

• Bourscheidt, V., Pinto, O., & Naccarato, K. P. (2010). Using the Gaussian-Based Confidence Ellipse Provided by Lightning Location Systems to Create More Reliable Lightning Density Maps.São José Dos Campos, Brazil: Brazilian National Institute for Space Research. Retrieved from http://www.vaisala.com/Vaisala%20Documents/Scientific%20papers/8.Bourscheidt-Using%20the%20Gaussian.pdf

• High/Low Clustering (Getis-Ord General G). (n.d.). In ArcGIS Pro. Retrieved July 25, 2017, from http://pro.arcgis.com/en/pro-app/tool-reference/spatial-statistics/high-low-clustering.htm

• How Spatial Autocorrelation (Global Moran's I) works. (n.d.). In ArcGIS Pro. Retrieved July 25, 2017, from http://pro.arcgis.com/en/pro-app/tool-reference/spatial-statistics/h-how-spatial-autocorrelation-moran-s-i-spatial-st.htm

• Incremental Spatial Autocorrelation. (n.d.). In ArcGIS Pro. Retrieved July 25, 2017, from http://pro.arcgis.com/en/pro-app/tool-reference/spatial-statistics/incremental-spatial-autocorrelation.htm

• Lightning Forecasting. (n.d.). In The National Severe Storms Laboratory. Retrieved from http://www.nssl.noaa.gov/education/svrwx101/lightning/forecasting/

• Modeling spatial relationships. (n.d.). In ArcMap. Retrieved from http://desktop.arcgis.com/en/arcmap/10.3/tools/spatial-statistics-toolbox/modeling-spatial-relationships.htm

• Our Company. (2016). In FortisAlberta. Retrieved from http://www.fortisalberta.com/about-us/our-company

• Schmaranz, R., Slamanig, M., Iskra, R., Fiedler, L., Heidarian, A., & Allhuter, D. (2015, June). Integration of Lightning Strike Information into SCADA and OMS to Indicate or Verify Faults on Overhead Lines. 23rd International Conference on Electricity Distribution.

• Summary of hotspot analysis parameters and results (2013, April 4). In Getis Ords G-Star and Spatial Autocorrelation Implementation. Retrieved from https://erc.barnard.edu/sites/default/files/getis_ords_g-star_and_spatial_autocorrelation_implementation_in_arcview.pdf

• Taylor, M. (2013, April 22). On Hot Spots and Zero Inflation. In GEO599/GEO584-Advanced Spatial Statistics and GIS, 2013-2016. Retrieved July 25, 2017, from http://blogs.oregonstate.edu/geo599spatialstatistics/2013/04/22/on-hot-spots-and-zero-inflation/