MDL Tutorials
Digital elevation models (DEMs) are geospatial datasets that contain elevation values sampled according to a regularly spaced rectangular grid. They can be used in terrain analysis, SD visualizations and hydrological modelling, among other applications. DEMs can be stored in several different formats; however, conversion into a raster dataset is often required for many processes. This tutorial explains how to derive contours from DEMs using ArcGIS Pro.
In order for many GIS functions to work properly, your datasets need to be stored in a common projected coordinate system. This guide will assist you with the projection process in ArcGIS Pro. (Unsure of what the appropriate projection is for your area of interest? Refer to this help document or ask a staff member for assistance in helping you determine it.)
In the case you need to acquire detailed city data to produce a large-scale map and we don’t have what you’re looking for in our data inventory, there is a chance that the user-contributed maps of OpenStreetMap.org may do the trick. QGIS can query and load this data into your map for a specified area of interest. The data can then be exported into common geospatial file formats.
NVivo can handle many types of files, such as text, audio, videos, images, etc. You would import these from the Data menu, by choosing the appropriate option. However, this tutorial will show you a common source of data that you might want to code in NVivo that is a bit more complicated to import.
NVivo can handle many types of files, such as text, audio, videos, images, etc. You would import these from the Import Ribbon, by choosing the Files option. However, this tutorial will show you two common sources of data that you might want to code in NVivo that are a bit more complicated to import.
This tutorial describes how to request a license for NVivo 14, download it, and license it.
This is a beginner level tutorial for NVivo 14 for Mac. The goal of this tutorial is to learn about the basic features in NVivo that will allow you to organize and analyze qualitative data. Part 1 will go over the basics of navigating the NVivo interface, importing data, and coding with codes. Part 2 will explore the different types of queries you can run in NVivo. If you already have a grasp of the basics and are just interested in learning about queries, you can jump right to Part 2.
This is a beginner level tutorial for NVivo 14 for Windows. The goal of this tutorial is to learn about the basic features in NVivo that will allow you to organize and analyze qualitative data. Part 1 will go over the basics of navigating the NVivo interface, importing data, and coding with codes. Part 2 will explore the different types of queries you can run in NVivo. If you already have a grasp of the basics and are just interested in learning about queries, you can jump right to Part 2.
This tutorial will explain how to georeference a raster image in ArcGIS so it can be used as an overlay or for digitizing purposes.
In this tutorial, we will use the Postal Code Conversion File (PCCF) to match postal codes to dissemination areas in order to incorporate additional neighbourhood-level demographic data into your dataset.
In this tutorial, we will use the Postal Code Conversion File Plus (PCCF+) to match postal codes to dissemination areas in order to incorporate additional neighbourhood-level demographic data into your dataset.
NVivo can handle many types of files, such as text, audio, videos, images, etc. You would import these from the Data menu, by choosing the appropriate option. However, this tutorial will show you two common sources of data that you might want to code in NVivo that are a bit more complicated to import.
NVivo can handle many types of files, such as text, audio, videos, images, etc. You would import these from the Import Ribbon, by choosing the Files option. However, this tutorial will show you two common sources of data that you might want to code in NVivo that are a bit more complicated to import.
To get started with intermediate R, enroll in this Intermediate R quercus course here. To enroll, you will need to use your UTORid login. This course consists of demonstration videos. By enrolling in this course, you can keep track of your progress! If you are a member of the public and you do not have a UTORid login, you can access the videos in the following guide below.
This is a beginner to intermediate level tutorial for Excel, a popular spreadsheet software that allows you to organize, modify and analyse your data. This tutorial assumes you have used Excel before at a basic level, but haven’t explored all it has to offer. The goal is to show you alternate ways to do things you already know how to do, as well as help you pick up some new Excel skills.
This tutorial wil guide you through many of the Excel tools available including: data types, filtering, transposing, formulas, formulas, functions, nested functions, charts, and pivot tables. There are no prerequisites or assumptions of knowledge of math, statistics, or programming.
Before you begin, make sure you have Excel installed. UofT members can download Excel as part of Microsoft Office 365.
Note: This workshop works with Excel with Microsoft 365 for Windows – if you are using an older version or Excel for Mac, availability and location of some features may differ – a quick Internet search will usually reveal the steps to access a feature in a particular version.
This tutorial is intended for Mac users. If you are using Windows, check out this tutorial instead.
This tutorial is adapted from a recorded Excel workshop, which you can view here.
This is a beginner to intermediate level tutorial for Excel, a popular spreadsheet software that allows you to organize, modify and analyse your data. This tutorial assumes you have used Excel before at a basic level, but haven’t explored all it has to offer. The goal is to show you alternate ways to do things you already know how to do, as well as help you pick up some new Excel skills.
This tutorial wil guide you through many of the Excel tools available including: data types, filtering, transposing, formulas, formulas, functions, nested functions, charts, and pivot tables. There are no prerequisites or assumptions of knowledge of math, statistics, or programming.
Before you begin, make sure you have Excel installed. UofT members can download Excel as part of Microsoft Office 365.
Note: This workshop works with Excel with Microsoft 365 for Windows – if you are using an older version or Excel for Mac, availability and location of some features may differ – a quick Internet search will usually reveal the steps to access a feature in a particular version.
This tutorial is intended for Windows users. If you are using a Mac, check out this tutorial instead.
This tutorial is adapted from a recorded Excel workshop, which you can view here.
Constellate is a browser-based tool for creating datasets from collections, such as JSTOR, and then teaches and facilitates text analysis on those datasets.
Return to the main Gale Digital Scholar Lab tutorial
Here is how to collaborate between users in the Gale Digital Scholar Lab using the Workspace and Notes features. This allows for a shared workspace and options for documenting your steps.
Python is a simple programming language that is popular for being easy to learn to read, write, and understand. You can use Python for automating repetitive tasks like cleaning data, creating data visualizations, analyzing data, conducting complex statistical calculations, or even building machine learning algorithms. Its ease of use and versatility means that many tools have been built on top of Python, but being able to explore those requires a good foundation and understanding of the language itself first!
UofT currently subscribes to NVivo 12. Consult our NVivo software license page to request a license key. Consult our getting started guide for NVivo 12 for tutorials, resources, and workshop recordings to help you get started using the software.
If you have an audio or video file that you need to get transcribed, this page describes some automated options to consider. But keep in mind, though, that none of these options (including NVivo transcription) provides a 100% perfectly accurate transcript. You will always have to go back in and correct your transcript.
Note: If you want to pay a human to transcribe things accurately (so no or minimal correction is needed later), you could try Rev or Transcript Divas.
This page provides an overview and tips for working as a team using NVivo.
This tutorial will help you get up and running querying the Canadian Intellectual Property Office (CIPO) Patent PostgreSQL Database. It will cover accessing the high performance computing environment, querying the database via SQL statements and from within a python script, and downloading the results of the query.
You will need a Compute Canada account with the proper credentials to access this database. If you haven’t done so already, you should first follow the instructions to get your account set up.
Note: This tutorial is intended for Windows users. If you are using a Mac, check out this tutorial instead.
This tutorial will help you get up and running querying the Canadian Intellectual Property Office (CIPO) Patent PostgreSQL Database. It will cover accessing the high performance computing environment, querying the database via SQL statements and from within a python script, and downloading the results of the query.
You will need a Compute Canada account with the proper credentials to access this database. If you haven’t done so already, you should first follow the instructions to get your account set up.
Note: This tutorial is intended for Mac users. If you are using Windows, check out this tutorial instead.