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Workshops

Introduction to Open Street Map

This workshop will be an interaction, hands on introduction to Open Street Map (OSM) and the Java OpenStreetMap Editor (JOSM). Students will learn to set-up JOSM, explore the interface, and make actual edits using the software. Students will also learn to extract data from OSM using specified queries and then display the results. The workshop will conclude with ways to connect with the OSM community and additional resources.

Instructor:  Madeline Steele

Format and schedule: 3hr workshop, April 17thth, 1:30pm-4:30pm

Location: Portland State University, Smith Memorial Student Union, Room 333 


Cartography and Information Design -  A sampling of workflows and solutions for the everyday analyst.

This workshop will focus on the visual design of spatial information by reviewing some concepts and exploring several different workflows. Learn how to interpret what the data is trying to tell you and design an appropriate visual product using color, texture and typography that gets the message across intuitively and effectively. This workshop will cover both print and web solutions that are platform agnostic through analyzing different layout options, map improvement solutions, before/after cartographic enhancements and the most appropriate type of visualizations for different types of data.

Instructors:  Ryan Sullivan, Matthew Hampton, and Paige Williams

Format and schedule: 3hr workshop, April 18thth, 8:30am-12:00pm

Location: Portland State University, Smith Memorial Student Union, Room 333 


Demographics and US Census Data Workshop

Description:  The most trusted sources of demographic data are free and publicly available, with broad applications for spatial analysis and cartography.  By learning what data are available and how to access the datasets, and understanding the strengths and weaknesses of each source, users can become proficient in GIS applications of demographic data.  Demographic data may include estimates from survey data, administrative records, synthetic data, or modeled data.  This session will explore methodologies and sources, and include demonstrations of techniques for representing sampling error along with estimates.  The primary focus will be social and economic data from the Census Bureau’s American Community Survey and population data from the Decennial Census.  We will also introduce other datasets including Origin-Destination Employment Statistics (LODES) and Small Area Income and Poverty Estimates (SAIPE).

Instructors:  Charles Rynerson and Randy Morris

Format and schedule: 3hr workshop, April 18thth, 1:30pm-4:30pm

Location: Portland State University, Smith Memorial Student Union, Room 333 


Introduction to Mapbox Studio 

Design a map that matches your style and tells a story. Mapbox Studio is the GIS developer's tool for creating custom maps for web & mobile apps. This workshop will cover the basics of Mapbox Studio to build a custom, interactive map with data from the City of Portland's Green Loop initiative.

This is a three-hour workshop where you will learn Mapbox Studio, an online application for creating custom web and mobile map applications. We'll cover:

  • Using Mapbox source data - OpenStreetMap, satellite imagery, and terrain data
  • Creating a custom style for your map
  • Adding custom data from the City of Portland
  • Learning the various ways to share your map on your site or as an interactive application

Participants are encouraged to bring a laptop that uses a modern web browser (https://www.mapbox.com/help/mapbox-browser-support/) as well as sign up for a Mapbox account

Instructor:  Rafa Gutierrez

Format and schedule: 3hr workshop, April 18thth, 1:30pm-4:30pm

Location: Portland State University, Smith Memorial Student Union, Room 328/9 


R - Fundamentals for Spatial Data

In this we will focus on some basics of using the R language, reading and writing spatial data in R, dealing with map projections, and the structure of spatial data in R.  We’ll explore ways to work with raster data in R – reading, creating and manipulating raster data – and then we’ll look at some examples of both vector and raster analysis in R such as subsetting, extracting information, and overlaying data using R packages such as sp, sfr, rgdal, raster, and rgeos. This is an introductory workshop – some familiarity with R is ideal but not required.

Instructor:  Marc Weber and Ben Weinstein

Format and schedule: 3hr workshop, April 18thth, 8:30am-12:00pm

Location: Portland State University, Smith Memorial Student Union, Room 296/298 


Advanced Visualization Techniques in R with Spatial Data

This workshop will dive into mapping and visualization with R packages such as ggplot and Leaflet, and we will also cover creating interactive visualizations with Shiny. Familiarity with R or completion of the morning workshop is helpful preparation for this workshop.

Instructor:  Marc Weber and Ben Weinstein

Format and schedule: 3hr workshop, April 18thth, 1:30pm-4:30pm

Location: Portland State University, Smith Memorial Student Union, Room 296/298