This map shows the Portland Community College Board of Director District Zones boundaries in a bold and engaging format. It is designed as a public-facing replacement for the current map and was produced as an assignment in PCC’s GIS Certificate Cartography course.
Software: ESRI ArcGIS Desktop + Adobe Illustrator CC
Second Place Award - Student Category - GIS in Action Conference 2019, Portland, Oregon
This project was produced for Metro, the regional governmental agency providing a variety of services to the tri-county Portland, Oregon metropolitan area. Metro manages urban and rural land use and development, regional planning, transportation infrastructure, and management of natural areas, parks and trails.
Project Goals:
Throughout the year, various Metro spatial datasets are updated to reflect the many changes that occur in land use, development, and infrastructure projects.
One of these spatial datasets is the vacant land dataset, which shows the current inventory of vacant land available for development. Metro currently uses predominately vector and historical (previous year) data to determine vacant-land parcels that have been developed. This process results in 100 hours of labor devoted to the visual QA analysis of flagged parcels to confirm their vacant or developed status.
This project examined using remote sensing methodology to reduce the amount of labor hours associated with candidate confirmation.
Through experimentation with various GIS classification techniques, a proven solution was implemented using object-based supervised classification to significantly reduce the labor involved with candidate confirmation.
Software used: ESRI ArcGIS Pro 2.2; Adobe Photoshop CC; Lucid Chart
Created as part of the GIS Analysis curriculum at PCC, this study visualizes the parcels in North Portland’s zip code 97217 and 97227 within 1/2 mile and 1 mile buffers of TriMet’s Yellow Line MAX light rail.
Software used: ESRI ArcGIS Desktop 10.5
This infographic presents spatial and tabular data about hydroelectric and wind power in a dynamic vertical arrangement. Initial analysis and design was from an Intro to GIS class, with more infographic elements added as part of a Cartography course assignment.
Software used: ESRI ArcGIS Desktop 10.5; Adobe Illustrator CS6
