This hands-on workshop will take you through the steps of using git and Github, to track changes, revert to older versions, and share your files with other people. Visit http://bit.ly/iqss-git for details and registration information (requires HarvardKey). Read more about Version Control with Git/GitKraken
Leader/Instructor Ben Lewis
The Center for Geographic Analysis is developing WorldMap (http://worldmap.harvard.edu/), an open source platform designed to encourage collaboration between researchers who need access to geospatial information. Despite the many ways in which research materials can now be accessed and shared across the web, the methods suitable for geospatial materials lag. The reasons are many and interconnected: 1) the sparse implementation of standards, 2) the size and complexity of geospatial datasets, 3) the lack of a platform to support... Read more about Worldmap Training
Friday, September 9, 2016, 1:30pm to 4:30pm
See also: Upcoming Workshops, R, Introduction to R
To Be Determined
Get an introduction to R, the open-source system for statistical computation and graphics.
With hands-on exercises, learn how to import and manage datasets, create R objects, install and load R packages, conduct basic statistical analyses, and create common graphical displays. This workshop is appropriate for those with little or no prior experience with R.
This workshop is free for Harvard and MIT affiliates. Click here to sign up!
One popular use of remote sensing is the analysis of land use change over time. In this workshop, students will learn how to search for and download free Landsat data; how to prepare these data for analysis; and how to examine land use change over time. We will be using ArcGIS and IDRISI Selva, both of which are available to Harvard affiliates on the CGA website. This class is meant to build off of introductory GIS and Remote Sensing workshops.
Taught by Stacy Bogan
This hands-on workshop will demonstrate a variety of statistical procedures using the open-source statistical software program R, including multiple regression, modeling with categorical variables, and model diagnostics and comparison. Visit http://bit.ly/iqss-rmodels for details and registration information (requires HarvardKey). Read more about Regression Models in R
REGISTER February 9, 2018 - 1:30pm to 2:45pm Leader/Instructor Jeff Blossom NON-HARVARD REGISTER Brief introduction to GIS, and the CGA workshop training series, to help students determine workshops that are appropriate for their individual needs. Students will use online and desktop GIS software.
This hands-on introduction to Stata will teach you how to navigate Stata‚Äôs graphical user interface, import and manipulate data, and calculate descriptive statistics. Visit http://bit.ly/iqss-stata-intro for details and registration information (requires HarvardKey). Read more about Introduction to Stata
December 9, 2016 - 9:30am to 4:30pm
Leader/Instructor Jeff Blossom Ben Lewis
Location: Room B129, the Northwest Building, 52 Oxford Street, Cambridge MA.
Tuesday, 12/06/15 @ 1:00 PM.
$25 Registration fee deadline:
Friday, 12/09/15 @ 9:30 AM.
Friday, 12/09/15 @ 9:30AM
How to Apply:
For Harvard Affiliates, please submit your application by clicking the"REGISTER" button (HUID login required).
For Non-Harvard applicants, please submit your application by clicking the "NON-HARVARD REGISTER" button.
Required... Read more about GIS for the Humanities and Social Sciences 2016
October 28, 2016 - 1:30pm to 3:30pm
Leader/Instructor Fei Carnes
Learn the basics of remote sensing technology, image data properties, and software tools and procedures for satellite image processing. Hands on usage of IDRISI software for multi-band combinations, supervised and unsupervised classification on a Landsat satellite image.
Location Training Workshops - Northwest Building
This workshop introduces the basic elements of Python, a general purpose programming language commonly used for data cleaning, analysis, visualization, and other applications. Visit http://bit.ly/iqss-pyintro for details and registration information (requires HarvardKey). Read more about Introduction to Python
September 25, 2017 - 9:00am to 5:00pm
Northwest Building (52 Oxford St., Cambridge) Room B-129.
Instructors: Derek Law, Technology Evangelist, Esri Apps Product Management team, and Geri Miller, Solutions Engineer, Esri Education Outreach team.
Open to anyone (limited to the first 30 registrants).
Use your own laptop, OR a provided workstation
You can attend one or all of the sections below:
1) ArcGIS Platform (9:00 - 10:00 a.m): In this session we‚Äôll discuss the ArcGIS Platform and how it can be used to deploy the Web GIS pattern ‚Äì both in the cloud and in your own... Read more about Making the Most out of the ArcGIS Platform - Workshop by Esri
It is now common for municipalities to collect data about the heights and three-dimensional shape of buildings. These data, along with terrain models and two-dimensional groundplan information makes it possible to use GIS to create useful three-dimensional models of large areas. These models may be used to visualize design scenarios, as a contextual framework for sensor networks and many other applications. Participants in this workshop will learn to render GIS data in 3D and to perform studies of visual connectivity.
Taught by Paul Cote
REGISTER March 23, 2018 - 1:30pm to 3:30pm Leader/Instructor Jeff Blossom NON-HARVARD REGISTER The ability to 'wrangle' various forms of data into a GIS is necessary in order to produce maps or analysis. Students will learn how to convert and properly geo-reference raw data in text form into GIS format, find and import relevant publicly available data, and produce a map of the results. Download Workshop Materials Location Training Workshops - Countway Library
This workshop will teach you how to use R to import and manipulate data, install and manage packages, conduct basic statistical analyses, and create common graphical displays. Visit http://bit.ly/iqss-rintro for details and registration information (requires HarvardKey). Read more about Introduction to R