Center for Geographic Analysis Harvard University
Additional navigation

You are here

Technical Training Workshops

Future Workshops will appear below as they are being scheduled. Past Workshops also appear below for your reference.

Workshops are free for people with valid Harvard ID. For people do not have valid HUID, the fee is $175 for the 3.5-hour GPS workshop, and $100 for the other 2-hour workshops. Registration is required.

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.

Most workshops are held on Fridays from 1:30 -3:30 PM, GPS is from 1:30 - 4:30 PM. Workshop location information is specified in each workshop content.


Detailed descriptions and registrations for the upcoming workshops are listed below. Or browse by Workshop title in the sidebar under Technical Workshops A to Z.

Intro to GIS for SROH interns

Date  June 13, 2018 - 9:00am to 11:45am

This is a 3 hour Introduction to GIS workshop to the Summer Research Interns hosted by
the Office of Diversity and Minority Affairs.

The workshop will include an introductory lecture on map creation, Geographic Information Systems, and geographic analysis. Students will then use Google Maps, Google Earth, WorldMap, QGIS and ArcGIS  software to complete a variety of introductory mapping and analysis exercises.

Download Presentation Slides

GPS Data Collection - Spring 2018

Date  April 13, 2018 - 1:30pm to 3:30pm

This workshop will introduce the concept and various uses of the Global Positioning System (GPS). Students will use mapping GPS devices in the field, and upload the mapped data into desktop and internet mapping applications. Intended for students researchers who plan to use GPS for their field work. Note: This workshop includes time outside, so dress accordingly. Bring your own GPS unit, if you have one.

Download Workshop Materials

Getting to Know ArcGIS Network Analyst - Spring 2018

Date  April 6, 2018 - 1:30pm to 3:30pm

This workshop teaches how to use network data and ArcGIS Network Analyst software. We will explore street dataset to generate a network dataset and then use it to find optimal facility locations based on your criteria. We will develop an OD cost matrix to finds and measures the least-cost paths along the network from multiple origins to multiple destinations. Finally we will explore the location-allocation functionality to maximize health-care facilities attendance.

Remote Sensing for Land Use Change Analysis - Spring 2018

Date  March 30, 2018 - 1:30pm to 3:30pm

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.

Making Sense out of Spatial Data - Longwood- Spring 2018

Date  March 30, 2018 - 1:30pm to 3:30pm

Leader/Instructor Giovanni Zambotti

An introduction to spatial analysis for various kinds of problem solving in a GIS environment. Examples of both raster and vector data-based spatial operations like overlay, buffering, and interpolation will be covered.

Download Workshop Materials

Wrangling Data into Maps - Longwood- Spring 2018

Date  March 23, 2018 - 1:30pm to 3:30pm

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

Exploring Google's Mapping Products - Spring 2018

Date  March 9, 2018 - 1:30pm to 3:30pm

Open Source QGIS - Spring 2018

Date  March 2, 2018 - 1:30pm to 3:30pm

An introduction to QGIS for beginners, this workshop will cover the basic methods for opening various data formats, dealing with projections, joining tabular data to vector GIS layers, symbolization, and exporting data. No previous knowledge of GIS or statistics is required.   

See related online QGIS Workshop website.

Drone Imagery In ArcGIS

Date  February 23, 2018 - 1:00pm to 5:00pm

Speaker:    Cody Benkelman, Technical Product Manager for Imagery at ESRI, will be at Harvard to present this workshop on tools and techniques for working with imagery from drones (but applicable to other sources) within ArcGIS. Download Agenda

Worldmap Introduction - Spring 2018

Date  February 16, 2018 - 1:30pm to 3:30pm

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.

Making Sense out of Spatial Data - Cambridge - Spring 2018

Date  February 9, 2018 - 1:30pm to 3:30pm

NON-HARVARD REGISTER

An introduction to spatial analysis for various kinds of problem solving in a GIS environment. Examples of both raster and vector data-based spatial operations like overlay, buffering, and interpolation will be covered.

Basic Introduction to GIS - Longwood - Spring 2018

Date  February 9, 2018 - 1:30pm to 2:45pm

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.

Download Workshop Material

Wrangling Data into Maps - Cambridge - Spring 2018

Date  February 2, 2018 - 1:30pm to 3:30pm

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.