Link to Datacamp's free intro course on R: https://www.datacamp.com/courses/free-introduction-to-r
This guide gives users an introduction to Stata. The topics covered are importing, exploring, modifying and managing data.
An overview of the guide provided by Princeton with a link to the original guide. If you want to learn how to use Stata, you might find this guide by German Rodriguez at Princeton University useful: http://data.princeton.edu/stata/default.html
This guide shows you how to match census data to postal codes, and how to merge them in a SPSS file. We will select income variables from the 2006 Census and PCCF data from Toronto.
Comprehensive set of guides that include installing R, learning R fundamentals including graphics and advanced data analysis examples.
Comprehensive set of guides that include installing SAS, learning SAS fundamentals and advanced data analysis examples.
This tutorial demonstrates how to scrape tweets for data analysis using Python and the Twitter API.
Link to Scholars Portal guide: http://guides.scholarsportal.info/odesi
Comprehensive set of guides that include obtaining SPSS, learning SPSS fundamentals and advanced data analysis examples.
Introductory guide to the Stat/Transfer utility (version 10).
Comprehensive set of guides that include installing Stata, learning Stata fundamentals including graphics and advanced data analysis examples.
Summary statistics are a way to explore your dataset, find patterns, and maybe even refine your question of interest. In this workshop, you will learn to use Stata to create basic summary statistics, cross-tabulations, and increasingly rich tables of summary statistics.
UCLA's introductory guide to various statistical analyses in SAS:
This guide shows the user how to use Spyder to load and clean data for further analysis.
This guide is suitable for new R-users or advanced level R-users looking for information on specific topics. The topics covered in this guide are importing, exploring, modifying and managing data.
Model builder is a feature in ArcMap that can be used to automate tasks. It is especially useful for batch processing. You can create a model by dragging and dropping objects, tools, etc. and then running the model in ArcMap. You can hard code specifics like file paths into your model or have your model prompt a user for information to make it more flexible. You can also save your model and share it with others.
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, 3D 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 ArcMap and ArcScene.
FME (File Manipulation Engine) is a powerful software package that allows users to quickly convert spatial and non-spatial datasets into other formats to facilitate sharing and interoperability. One of its components, FME Quick Translator, is an easy-to-use utility that provides a straightforward translation workflow via a simple graphical user interface. This guide demonstrates how to use FME Universal Translator to convert geospatial data from one format to another using an older file format (ArcInfo Coverage, .e00) as an example.
This tutorial will demonstrate how to convert geospatial datasets saved as shapefiles into AutoCAD format.
Unsure of which projection to use in your GIS work? This tutorial will help you figure out your options.
This guide, compiled by Alberta Auringer Wood of the Association of Canadian Map Libraries and Archives, provides recommended citation formats for a wide variety of geospatial data sources.
Additionally, if using ESRI products (e.g. ArcGIS Online) or ESRI data, please consult this guide on How to Cite ArcGIS Maps and Data.
This is a beginner’s guide to creating a point layer in ArcGIS 10.2 using the latitude and longitude of the locations you wish to display. The first part of this guide will walk you through creating an Excel file of coordinates found in decimal degrees that are set up and ready to be imported into ArcGIS. How to locate coordinates online will also be discussed. This guide will then walk you through bringing your data into ArcGIS and creating your point layer on top of a base layer of countries.
If you need to uninstall and reinstall your authorized copy of ArcGIS (for example, if you are reformatting your hard drive or switching to a new computer or you have entered your eva code in once and it did not authorize) please follow these instructions before uninstalling the software.
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. You can export data from OpenStreetMap and open it in ArcGIS to use it in your own maps.