Analyzing the Change in Toronto Crime Data from COVID-19
Posted 1 week ago
About a year ago, I wrote a blog post analyzing Toronto Crime Data using Kernel Density from the 2019 data of major crime indicators. After the COVID-19 restrictions were put in place in March 2020 for the city of Toronto, I was curious to see the changes in crime in Toronto from 2019 to 2020. […]
Utilizing GIS in other disciplines: Implementing photos in webmap pop-ups
Posted 10 months ago
As an undergraduate student at the University of Toronto Mississauga (UTM), I am double majoring in Geographical Information Systems (GIS) and Communication, Culture, Information, and Technology (CCIT). I am currently taking a CCIT course that involves inclusive design and social responsibility. For one of the assignments, we had to walk around our neighbourhood and take […]
Manually Geocoding – Preparing for Analysis of Green Space Accessibility in Ontario Elementary Schools and Student Performance
Posted 1 year ago
Learn how UTM student Scarlett Rakowska performed manual quality control to augment address geocoding output to get accuracy needed for subsequent analysis.
Analyzing Toronto Crime Data using Kernel Density
Posted 1 year ago
Recently, the Toronto Police Service released its 2019 data of major crime indicators. These indicators include assaults, auto thefts, break and enters, homicides, robberies, and thefts over. In this blog, I will analyze the major crime indicators for Toronto in 2019 using kernel density. Kernel Density Kernel Density is a spatial analyst tool that calculates […]
COVID-19 Web Mapping Application: step-by-step
Posted 2 years ago
Hello, My name is Scarlett, and I am a third-year undergraduate student at the University of Toronto Mississauga, studying Geographical Information Systems (GIS). After the World Health Organization announced COVID-19 a pandemic, on March 19, 2020, I viewed an Esri Canada webinar presented by Chris North and Mike Gregotski called “Responding to the COVID-19 Crisis […]
