Research Technology

2016 Nov 04

Text Analysis in Python

6:00pm to 8:00pm

Location: 

CGIS Knafel K018
Python is an extremely powerful tool for text analysis. We will explore the use of TextBlob, nltk and scipy for text analysis. Prerequites: Introduction to Python for Data Analysis 1; Introduction to Python for Data Analysis 2 Workshop Preparation In preparation for the workshop please install the Anaconda distribution of Python 3.5. It can be found here: https://www.continuum.io/downloads This is the only version of Python that will be supported. If you are having trouble installing this version of Python, please attended the Python Installation Session on Monday at the same time of day and... Read more about Text Analysis in Python
2016 Feb 17

Three Dimensional GIS

1:00pm to 3:00pm

Location: 

52 Oxford Street, Northwest Building B129
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.
2014 Oct 10

Worldmap Training

1:00pm to 3:00pm

LOCATION: Room B-127, The Northwest Building, 52 Oxford St., Cambridge, MA The Center for Geographic Analysis is developing WorldMap (http://worldmap.harvard.edu/ [1]), 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. Leader/Instructor: Ben Lewis. Read more about Worldmap Training
2018 Sep 06

Data Science Tools: an overview

9:30am to 12:30pm

Location: 

K018, CGIS Knafel building, concourse level
In this workshop we will look at the kinds of tools that data scientists use (programming languages, statistics packages, version control, text editors and integrated development environments) and discuss the pros and cons of popular alternatives. Visit http://bit.ly/iqss-dstools for details and registration information (requires HarvardKey). Read more about Data Science Tools: an overview
2016 Mar 04

ArcGIS Online & Esri Maps for MS Office

1:00pm to 3:00pm

Location: 

52 Oxford Street, Northwest Building B129
Learn about the easy new tools Esri has created that take advantage of all the powerful mapping capabilities. ArcGIS Online and Esri Maps for MS Office give you the power of GIS without the learning curve. Do drag-and-drop mapping, geocoding, routing and visualizations outside of ArcGIS Desktop. Create interactive web maps you can embed in your own blog, web page or PowerPoint slide. Learn about Esri's ready-to-use content. Find data, create a web map, and share it - all in about five minutes.
2018 Oct 12

Regression Models in R

9:30am to 12:00pm

Location: 

CGIS Knafel room K018
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
2016 Apr 22

Database Design for GPS/GIS Applications

1:00pm to 3:00pm

Location: 

52 Oxford Street, Northwest Building B129
Database design is a key step in GIS data modeling. GIS data modeling is the process of representing specific aspects of the real world in a computer. This workshop gives an introduction to GIS data modeling and the 3 phases of database design: requirements analysis, schema refinement, and physical database design. It also covers specific design considerations when capturing data for GIS applications using GPS. Students will design a Geodatabase for use in ArcPad on the Trimble GeoXT.
2018 Apr 06

Getting to know ArcGIS Network Analyst

1:30pm to 3:30pm

Location: 

Northwest Building
REGISTER April 6, 2018 - 1:30pm to 3:30pm Leader/Instructor Fei Carnes NON-HARVARD REGISTER 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. Download Workshop Material Location... Read more about Getting to know ArcGIS Network Analyst
2016 Oct 21

Regression and Graphing in Stata

9:30am to 12:30pm

Location: 

CLER Lab, Shad Hall basement, Harvard Business School
Date: Friday, October 21, 2016, 9:30am to 12:30pm See also: Upcoming Workshops, Stata, Regression and Graphing in Stata Location: CLER Lab, Shad Hall basement, Harvard Business School This hands-on class will provide a comprehensive introduction to graphics in Stata. Topics for the class include graphing principles, descriptive graphs, linear regression, factor variables, and post-estimation graphs. This is an introductory workshop appropriate for those with only basic familiarity with Stata. Prerequisite: a general familiarity with Stata (such as taking the Introduction to Stata workshop).... Read more about Regression and Graphing in Stata
2015 Apr 09

GPS Workshop

1:00pm to 3:00pm

Location: 

B127 52 Oxford St - Northwest Building
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. Taught by Jeff Blossom
2018 Feb 09

Making Sense out of Spatial Data

1:30pm to 3:30pm

Location: 

Northwest Building
REGISTER February 9, 2018 - 1:30pm to 3:30pm Leader/Instructor Wendy Guan 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. Download Workshop Materials Location Training Workshops - Northwest Building
2016 Nov 01

Introduction to Python for for Data Analysis 1

6:00pm to 8:00pm

Location: 

CGIS Knafel K018
The intended audience of this course is data scientists and other people involved in data analysis rather than career programmers. There will be some light discussion of good programming principles, but only as they pertain to good data science practices. The goal is to take participants from a low level of familiar with Python to performing simple data manipulations. At the end of the workshop, you should leave with a solid foundation to continue your own learning and experimenting with the language. Workshop Preparation In preparation for the workshop please install the Anaconda... Read more about Introduction to Python for for Data Analysis 1
2016 Feb 26

Open Source QGIS 2.0

1:00pm to 3:00pm

Location: 

52 Oxford Street, Northwest Building B129
An introduction to Quantum GIS 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.
2018 Sep 13

Version Control with Git/GitKraken

9:30am to 12:30pm

Location: 

K018, CGIS Knafel building, concourse level
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

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