Yet Another Review of the Terminology Used to Describe Techniques for Making Multiple Variables Comparable
Ok, here we go again. I wrote in this blog on 30 November 2013 about “Normalization vs. Standardization – Clarification (?) of Key Geospatial Data Processing Terminology using the Example of Toronto Neighbourhood Wellbeing Indicators“. Note the question mark in that title? Its length and that of my title and subtitle today, and the choice of words used in them, will tell you a lot about the challenge at hand: clarifying, reviewing, and settling – once and for all! – the meaning of terms like “normalization”, “standardization”, and “rescaling”. The challenge is related to the processing and combination of multiple variables in GIS-based multi-criteria decision analysis, for example in my ongoing professional elective GEO641 GIS and Decision Support, and extends to many situations in which we utilize multi-variate statistical or analytical tools for geographic inquiry.
In two other blog posts, I discussed the need to normalize raw-count variables for choropleth mapping. On 26 March 2020, I wrote about “The Graduated Colour Map: A Minefield for Armchair Cartographers“. The armchair cartographer’s greatest gaffe: mapping raw-count variables as choropleth or graduated-colour maps. In a post dated 3 November 2020 on “How to Lie with COVID-19 Maps … or tell some truths through refined cartography“, I go into more detail about why to use “relative metrics” on choropleth maps. These metrics can take the form of a percentage, proportion, ratio, rate, or density. They are obtained by dividing a raw-count variable by a suitable reference variable. In class, I used the example of unemployment, where the City of Toronto provides the number of unemployed people in each its 140 neighbourhoods.
A few years ago, some American and international cartography and GIS experts banded together to hold low-key community mapping events under the Maptime label. The international site and the MaptimeTO Twitter account of the Toronto group are dormant, but the idea is alive and well – let’s start a Ryerson University map club under the MaptimeRU banner!
In class the other day, we had a look at “The True Size Of…” web app, which illustrates the size distortion of countries under the Web Mercator projection. Some students already knew the example of Greenland. In most online maps, Greenland looks about as big as the continent of Africa, but its size is greatly inflated under the Mercator projection due to its far-northern latitude. When you pull it towards the equator for size comparison, it shrinks to as little as 7% of Africa, and that is the actual ratio of their land surfaces.
Size comparison maps are popular talking points but they are surprisingly tricky to make in geographic information systems (GIS). After all, we usually aim to map things at their actual location on planet earth’s surface. John Nelson, cartography and user experience specialist at world-leading GIS company Esri, recently posted a blog and video tutorial on “How to make one of those size comparison maps” in ArcGIS Pro. As possible kickoff for a recurring MaptimeRU meetup, I will sit down with interested Geographic Analysis students during study week and replicate John’s instructions as well as try the same in the free and open-source QGIS package.
Why studying Applied Geography is more important than ever
Today was going to be Ryerson University’s Open House for prospective students, those already admitted for Fall 2020 as well as those considering a late application to our programs. The event was cancelled as a consequence of the distancing measures taken to slow the spread of the novel coronavirus. As undergraduate program director for the BA Honours in Geographic Analysis and past graduate program director for the MSA in Spatial Analysis, I would like to share some thoughts about why it is now particularly important to recruit bright students into Geography programs.
This past fall semester of 2019 marked my 15th time teaching our graduate cartography course. When I joined Ryerson University in August 2006, I had already taught MSA 9050 Digital Cartography at the University of Toronto for three years, in Fall 2003, 2004, and 2005. The course was part of the joint Master of Spatial Analysis (MSA) program between UofT’s and Ryerson’s Geography departments, and was also cross-listed with UofT’s graduate course GGR 1913H of the same title. The course had been taught by Byron Moldofsky, who retired as Manager of UofT’s GIS and Cartography Office in 2017, after 37 years of service as a staff member, and continues to be active as an executive member of the Canadian Cartographic Association and a free-lance cartographer.
Guest post by Nikita Markevich, BA in Geographic Analysis candidate, Ryerson University
As an international student, I was facing some bureaucratic hurdles obtaining an internship in Canada. However, my program, the BA in Geographic Analysis, requires the completion of 350 hours of work experience, usually on paid practicum placements in the private or public sector. Given the need to complete this requirement for timely graduation next spring, my attention shifted to my home country, Russia. I was able to arrange an internship with ESRI CIS, the Russian subsidiary of the world-leading Geographic Information Systems (GIS) vendor, ESRI Inc. The placement in Moscow was arranged through the help of networking and contacts I made during the 2015 International Geographical Union conference in Moscow, which I attended as well.
During my placement between May and July 2016, I have obtained valuable experience which shaped my sense of the work environment of a large GIS vendor. I was attached to the GIS specialist team and my supervisor helped me a lot on the first stages of my placement. I was introduced to my project, which involved creation of a massive geo-database coordinated by ESRI software packages, particularly ArcMap 10.2 and ArcCatalog 10.2. I was tasked with data mining routines, maintaining attribute tables and working with relational databases. The project focused on the transformation of polygonal data into a geo-database according to technical standards, which were set by a client.
Once the routine workflow was formed, ESRI offered me a choice of attending additional ESRI certified training courses, from which I completed two: ESRI ArcGIS 10.3 Essential Workflows and ESRI ArcGIS 10.3 Effective Editing. Both courses helped to solidify my skills in editing polygonal data and conduct analyses using geoprocessing tools. Working in an environment with experienced professionals in the GIS field, especially programmers involved in the creation of Web GIS scripts, helped me improve my GIS programming skills, including those, which facilitate and automate routines related to attribute information editing.
Overall, my summer internship at ESRI CIS allowed me to practice and deepen the essential skills of a GIS specialist, which will come as an asset in my employment search in Canada. I also spent some time exploring my hometown – visiting museums and suburbs – and traveling to the neighbouring Baltic countries Latvia and Estonia.
For GIS Day 2016, the Department of Geography and Environmental Studies joined forces with Environics Analytics, “Canada’s premier marketing and analytical services company”. This year’s Environics Analytics User Conference on November 16 attracted 675 data analysts from 350 organizations and featured 16 client presentations, numerous software demos, and one great party!
The core role of Geography and location in data analytics was emphasized by many presenters. Environics Analytics founder and president, @statslady Jan Kestle, is quoted with identifying “Geography as the secret sauce” that integrates data for advanced analytics. The Department of Geography and Environmental Studies at Ryerson University received shout-outs and accolades for training the next generation of data analysts through its BA in Geographic Analysis and MSA in Spatial Analysis programs.
We joined the Environics Analytics User Conference with a GIS Day-themed display of geovisualization projects from the MSA cartography course and with a 15-year reunion to celebrate the 2001 class of MSA graduates, the first-ever group of students receiving a graduate degree from Ryerson University. Since then, over 300 students have obtained the MSA degree and joined the ranks of data analysts, who shape the regional economy, public services, and environment.
Blog post co-authored by Victoria Fast, Daniel Liadsky, and Claus Rinner
Ryerson’s Department of Geography and Environmental Studies is celebrating two gold medal recipients this fall. The Ryerson Gold Medals are the University’s highest honours, presented annually to one graduate of each Faculty. Victoria Fast (PhD in Environmental Applied Science and Management, supervised by Dr. Claus Rinner) received the Gold Medal for the interdisciplinary programs housed at the Yeates School of Graduate Studies, while Daniel Liadsky (MSA in Spatial Analysis, supervised by Dr. Brian Ceh) received the Gold Medal for the Faculty of Arts.
Victoria’s PhD research investigated the potential of novel geographic information techniques to reshape the interaction of government with community organizations and citizens through crowdsourcing and collaborative mapping. The study applied a VGI systems approach (Fast & Rinner 2014) to actively engage with urban food stakeholders, including regional and municipal government, NGOs, community groups, and individual citizens to reveal and map uniquely local and community-driven food system assets in Durham Region. The Durham Food Policy Council and Climate Change Adaptation Task Force are currently using the results to support informed food policy and program development. Victoria’s research contributes to geothink.ca, a SSHRC Partnership Grant on the impact of the participatory Geoweb on government-citizen interactions.
Daniel’s research in the Master of Spatial Analysis (MSA) examined how dietary intake is mediated by individual, social, and environmental factors. The Toronto-based study was stratified by gender and utilized self-reported data from the Canadian Community Health Survey as well as measures of the food environment derived from commercial retail databases. The results uncovered some of the complex interactions between the food environment, gender, ethnocultural background, and socioeconomic restrictions such as low income and limited mobility. In addition and as part of an unrelated investigation, Daniel undertook a feasibility study into a mapping and data analytics service for the non-profit sector.
Another year has passed and another ‘generation’ of professional Geographers has completed our Master of Spatial Analysis (MSA) degree. Congratulations to the 17 graduates of the Fall 2015 class!
MSA students are required to conduct an independent research project that is documented in a major research paper. This MRP is formally defended and subsequently revised prior to degree completion. This year’s MRPs span the range of applications from sustainable development, Toronto’s SmartTrack transit plan, food retail and foodscapes, health-care service locations, bank branch networks, crime patterns, urban heat islands, and housing. Methods chosen by the students include visual data exploration, multiple regression, multi-criteria decision analysis, risk terrain modeling, self-organizing maps, and many more.
I would also like to note that four students are extending their MSA research phase by one or two semesters to write an MSA thesis. The first student to complete this option, Heather Hart, graduated in Spring 2015 with a thesis on “Maps as Evidence in Health Care Service Improvement and Monitoring” (supervised by Dr. Rinner), which was also recently added to the list at http://www.ryerson.ca/graduate/programs/spatial/abstracts/index.html.