REGISTER December 2, 2016 - 1:30pm to 3:30pm NON-HARVARD REGISTER Instructor: Nicole Alexander 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. Location... Read more about Database Design for GPS/GIS Applications

This hands-on, intermediate R course will demonstrate a variety of statistical procedures using the open-source statistical software program, R. Topics covered include multiple regression, multilevel models, and multiple imputation. We expect that users enrolled in this course are already familiar with the statistical processes that we cover and are interested in learning how to run these procedures in R. Prerequisite: Basic familiarity with R, such acquired through an introductory R workshop. A limited number of lab computers will be available. If you bring your laptop please install R (http... Read more about R Regression Models

This hands-on, intermediate R course will demonstrate a variety of statistical procedures using the open-source statistical software program, R. Topics covered include multiple regression, multilevel models, and multiple imputation. We expect that users enrolled in this course are already familiar with the statistical processes that we cover and are interested in learning how to run these procedures in R. Prerequisite: Basic familiarity with R, such acquired through an introductory R workshop. A limited number of lab computers will be available. If you bring your laptop please install R (http... Read more about R Regression Models

REGISTER December 8, 2017 - 9:30am to 4:30pm Leader/Instructor Jeff Blossom NON-HARVARD REGISTER Location: Room B129, the Northwest Building, 52 Oxford Street, Cambridge MA. Registration Schedule: Registration deadline: Tuesday, 12/05/17 @ 1:00 PM. $25 Registration fee deadline: Friday, 12/08/17 @ 9:30 AM. Workshop date: Friday, 12/08/17 @ 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. Recommended for... Read more about GIS for the Humanities and Social Sciences 2017

REGISTER November 3, 2017 - 1:30pm to 3:30pm Leader/Instructor Stacy Bogan NON-HARVARD REGISTER 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

LOCATION: K018, 1737 Cambridge St. Cambridge, MA 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). This workshop is free for Harvard and MIT affiliates. Click here to sign up!

REGISTER February 24, 2017 - 1:30pm to 3:30pm Leader/Instructor Merrick Lex Berman NON-HARVARD REGISTER 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. Location Training Workshops - Northwest Building

Dataverse is a software application that enables institutions to host research data repositories. It provides a preservation and archival infrastructure, while researchers can share, keep control of and get recognition for their data through an easy to access web browser interface. Dataverse supports the sharing of research data with a persistent data citation, and data publishing and management workflows with versioning and metadata standards. Overview of Dataverse 4.0 Please RSVP here

REGISTER NON-HARVARD REGISTER Instructor: Paul Cote 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.

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 geospatial collaboration that is easy to access, 4) the lack of an... Read more about Worldmap Training

The modules for manipulating tabular data in Python are different enough, that it sometimes feels like a different language from basic python. Building on the foundation from Introduction to Python for Data Analysis 1, we will explore this aspect of python together, loading simple datasets into Python. Prerequites: 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... Read more about Introduction to Python for Data Analysis 2

REGISTER NON-HARVARD REGISTER Leader/Instructor Stacy Bogan 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.

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 introduction to the popular ggplot2 R graphics package will show you how to create a wide variety of graphical displays in R, using techniques such as layering, mapping variables to aesthetics, working withr scales, faceting, and themes. Visit http://bit.ly/iqss-rgraphics for details and registration information (requires HarvardKey). Read more about Introduction to R Graphics with ggplot2