broom lab methods mini-courses

WINTER 2017

Spacial Data Analusis with Python Scripts
When: Wednesday, February 23, 1:00-3pm
Where: Ellison Hall 3620 (Descartes lab)
Instructor: Song Gao, Department of Geography
A 2-hour mini-course that introduces key concepts on Python script programming and how it supports the spatial data analysis in ArcGIS environment and in opensource GIS platforms. Examples provided on the analysis of census population & income, GIS datasets and land use datasets from remote sensing imageries.

FALL 2016

Introduction to ATLAS.ti
When: Friday, October 21, 12:00-2pm; 2:00-4:00pm
Where: Social Sciences & Media Studies Building Rm 1301
Instructor: Corrie GrosseDepartment of Sociology
A 2-hour mini-course on uploading, coding, and analyzing qualitative data with ATLAS.ti. Prior experience with ATLAS.ti not required.

SPRING 2016

Geographic Information Systems - Learn ArcGIS and More
When: Tuesday, May 17, 1:00-3:00pm 
Where: Ellison Hall 3620 (Descartes lab)
Instructor: Carlos BaezDepartment of Geography
This 2-hour mini-course will introduce basic understanding of geographic information systems (GIS) and how they can be used to analyze the spatial dimensions of data. Topics covered include: the basics of Geographic systems and information, fundamental techniques used in spatial analysis, and various applications of GIS in demography related research. Participants will learn: the basics of ArcGIS, the most commonly employed full-capability GIS; where to obtain spatial data for research; fundamental spatial analysis techniques; and how to explore geographic information through visualization.

Web Scraping with Python
When: Tuesday, May 17, 3:00-5:00pm
Where: Ellison Hall 2616 (The Spatial lab)
Instructor: Alex Wood-Doughty, 
Department of Economics
A 2-hour mini-course on using Python to acquire data through APIs and through web scraping. Previous experience with Python is not required. 

WINTER 2016

Geographically Weighted Regression (GWR) using ArcGIS
When: Wednesday, January 27th 10am12pm
Where: North Hall 1053 (Broom lab)
Instructor: Kevin Mwenda 
Department of Geography
A 2-hour mini-course on designing, running and analyzing GWR models in ArcGIS. Prior experience with ArcGIS not required but some basic background on linear regression would be beneficial. 

Spatial data visualization in R
When: Friday, February 12th 1 – 3pm
Where: Ellison Hall 2616 (The Spatial lab)
Instructor: Kevin Mwenda 
Department of Geography
A 2-hour mini-course introducing R coding for visualizing & manipulating spatial data. Prior experience with R is not required.

FALL 2015

Remote Sensing and Demography - Learn ENVI
When: Wednesday, November 18th 2-4pm
Where: Ellison Hall 3620 (Descartes lab)
Instructor: Cascade Tuholske
Department of Geography
This mini-course will introduce basic understanding of remote sensing and how it is applied to demography. Topics to be covered are:  types of sensors, what we use satellites to monitor and map (and limitations), and specific applied techniques to demographic questions (including examples from population modeling, human-environment interaction, urbanization and epidemiology). Participants will gain a basic understanding of ENVI, a commonly used remote sensing software package and how to retrieve satellite images from USGS.
45m theory lecture
30m minutes covering ENVI
45m mini-lab

Geographic Information Systems  - Learn ARCGIS and More
When: Friday, November 20th 10am-12pm
Where: Ellison Hall 2616 (The Spatial lab)
Instructor: Carlos Baez
Department of Geography
This mini-course will introduce basic understanding of geographic information systems (GIS) and how they can be used to analyze the spatial dimensions of data. Topics covered include: the basics of Geographic systems and information, fundamental techniques used in spatial analysis, and various applications of GIS in demography related research. Participants will learn: the basics of ArcGIS, the most commonly employed full-capability GIS; where to obtain spatial data for research; fundamental spatial analysis techniques; and how to explore geographic information through visualization.    
45m theory lecture
50m minute walk through lab with ArcGIS
25m minute introduction to visualizing and exploring geographic information 

SPRING 2015

Introduction to Stata
When: Friday, April 10th, 12 – 2pm
Where: North Hall 1053 (Broom lab)
Instructor: Valerie BostwickDepartment of Economics

Geographic Information Systems – Learn ARCGIS and More
When: Friday, April 17th, 1 – 3pm
Where: North Hall 1053 (Broom lab)
Instructor: 
Carlos Baez, Department of Geography

Introduction to and Intermediate Topics in Atlas.ti
When: Friday, May 22nd, 1 – 3pm
Where: North Hall 1053 (Broom lab)
Instructor: Heather HurwitzDepartment of Sociology

Visualizing Spatial Data using R
When: Thursday, May 28th, 9 – 11am
Where: North Hall 1053 (Broom lab)
Instructor: Kevin Mwenda, Department of Geography

R for SPSS Users 
When: Monday, June 1st, 3 – 5pm
Where: North Hall 1053 (Broom lab)
Instructor:   Anne Pisor, Department of Anthropology

WINTER 2015

Introduction to Atlas.ti
When: Wednesday, January 28th, 9 – 10:30AM
Where: North Hall 1053 (Broom lab)
Instructor: Heather HurwitzDepartment of Sociology

FALL 2014

U.S Census Data Acquisition & Visualization
When: Wednesday, November 19th, 10am-12pm
Where: North Hall 1053 (Broom lab)
Instructor: Kevin Mwenda, Department of Geography
This course covered how to download and compile geographic and demographic data from the U.S. Census Bureau website and how to visualize & manipulate this data using ArcGIS.

Introduction to Stata 
When: Friday, December 5th, 1 – 3pm
Where: North Hall 1053 (Broom lab)
Instructor: Valerie BostwickDepartment of Economics
This course covered how to import, clean, and manipulate data in the Stata environment as well as basic statistical analyses such as correlations, regressions, and t-tests. 

SPRING 2014

U.S Census Data Acquisition & Visualization
When: Monday, May 12th, 10am-12pm
Where: North Hall 1053 (Broom lab)
Instructor: Kevin Mwenda, Department of Geography
This course covered how to download and compile geographic and demographic data from the U.S. Census Bureau website and how to visualize & manipulate this data using ArcGIS.

Scraping data from the Web
When: Thursday, May 29th, 1 – 3pm
Where: North Hall 1053 (Broom lab)
Instructor: Miguel Delgado Helleseter, Department of Economics

FALL 2013

Google Data
When: Monday, October 28th (2 – 3:30pm) and Thursday, October 31st (2:30 – 4pm)
Where: North Hall 1053 (Broom lab)
Instructor:  Anand Shukla, Department of Economics

R for SPSS Users
When: Thursday, November 14th, 3 – 5pm
Where: Phelps Hall 1526
Instructor: Anne Pisor, Department of Anthropology

SPRING 2013

Using ArcGIS to perform Geographically Weighted Regression (GWR)
When: Monday, May 20th (10am - 12pm) and Friday, May 24th (11:00 am – 1:00pm)
Where: North Hall 1053 (Broom lab)
Instructor: Kevin Mwenda, Department of Geography
GWR is a localized linear regression used for modeling spatially-varying relationships and ArcGIS happens to have a wonderful tool for getting this done. Apart from demonstrating how GWR may be applied in a real-world example, we also discussed considerations to keep in mind when setting up and analyzing the model output.