Workshops - March 28th-April 1st

March 21, 2016

Workshops the week of March 28th-April 1st include BibTeX, introductory GIS, and more. 

Bib Your TeX

Do you use TeX or LaTeX? Do you want to learn more about citation tools? This workshop covers the basics of citing in TeX, along with packages such as natbib and biblatex that can add extra functionality. Proficiency in (La)TeX is expected. 

3/29/2016, 4:00-5:00 PM, 17 Hillhouse 07


Introduction to GIS and Mapping

This is an introduction to the basic concepts of creating, managing and analyzing explicitly spatial data within a Geographic Information Systems (GIS) framework. Included is a step-by-step, “hands on” introduction to using spatial data within Esri’s ArcGIS software. Topics will include: Spatial Data Models, Spatial Relationships, The ArcMap User Interface, Thematic Mapping Using Symbology, and Simple Analysis Using Complex Selection Methods.

3/29/2016, 6:00-8:00 PM, Bass Library L06-A


Intro Matlab

This is an introduction to statistical methods using Matlab with an emphasis on data analysis and statistical modeling. Matlab is a matrix-based tool for numerical computations. It is powerful, easy to use, has both a programming language and an interactive environment, and Yale offers lots of toolboxes with its license. We will also cover “best practices” in Matlab. 

Please note: this session is full. To register for the waiting list: http://schedule.yale.edu/event.php?id=1101279.

4/1/2016, 10:00 AM-12:00 PM, CSSSI Classroom


Spatial Analysis/Intermediate GIS

This workshop will introduce students to a variety of  tools for spatial analysis. Students will use the ArcGIS software suite to load, manipulate, analyze, and visualize data. We will primarily focus on strategies for working with pixelated raster data but will touch on vector analysis as well. Topics may include: data formats; coordinate systems and projections; symbology and 3D visualization of raster data; creating new datasets and surface models; spatially-explicit regression and map algebra; and image classification. Examples of GIS analysis using R and Google EarthEngine will be presented as time allows. Prerequisites: Prior exposure to ArcGIS is helpful but not required.

Please note: this session is full. To register for the waiting list: http://schedule.yale.edu/event.php?id=1101290.

4/1/2016, 1:30-3:30 PM, CSSSI Classroom