Workshops and Tutorials

Information pertaining to workshops and tutorials is forthcoming.

To register for workshops, please do the following:

  1. Login to the NARSC website
  2. Click on the “Register/Donate” link on the left side of the page
  3. Click on the link to register for the NARSC 2014 conference
  4. Follow the prompts to register as an RSAI member or non-RSAI member
  5. When you reach the shopping cart, scroll to the bottom and choose the workshops you would like to attend
  6. Pay the associated fees and you will be registered for the workshops

Please note that if you have already registered for the NARSC conference, you can still use the steps above to go to the shopping cart and register for workshops. If you have questions or problems, please contact support@dreamco.com.

 

Workshop 1: Toward a Frame Shifting Model (Half Day-Morning)

Workshop Facilitators – Randall W. Jackson (West Virginia University), Geoffrey J.D. Hewings (University of Illinois), and Michael L. Lahr (Rutgers, The State University of New Jersey),

Workshop Description: During this workshop, researchers from around the world will share their experiences and recent progress achieved in integrating social accounting matrices and econometric models in a regional setting. The discussion will focus on how to make the dynamics of such models more interesting. This will be done by investigating the use of decompositions of final demand sectors, ways of deriving local prices, and specialized articulations of the Armington assumption among other possibilities. The ultimate objective of the workshop is to press regional economic modeling capability forward more aggressively toward something akin to the frame-shifting model envisioned by Philip Israilevich.

 

Workshop 2: Spatial Data Analysis with PySAL and GeoDaSpace (Half Day-Afternoon)

Workshop Facilitators – Sergio J. Rey (Arizona State University) and Luc Anselin (Arizona State University)

Workshop Description: A unique feature of this tutorial is the use of Python based software tools for spatial data analysis. Python is an object oriented scripting language that is gaining rapid adoption in the computational sciences. To facilitate this adoption within the GIScience community, Rey and Anselin have collaborated on the creation of PySAL: Python Library for Spatial Analysis. Since its initial release in July 2010, PySAL has been downloaded over 25,000 times. This two-part tutorial will introduce participants to version 1.6 of PySAL as well as to GeoDaSpace, a GUI application based on PySAL designed for spatial econometric analysis. The first component provides hands-on experience in the use of PySAL for exploratory spatial data analysis. In the second part of the tutorial the focus moves to practical spatial regression analysis using GeoDaSpace.

 

Workshop 3:  Spatial Statistical Methods in Regional Science (Full Day)

Workshop Facilitators – Daniel A. Griffith (The University of Texas at Dallas) and Yongwan Chun (The University of Texas at Dallas)

Workshop Description: This workshop presents a combination of conceptual and practical material, and is designed to deliver spatial statistical concepts and methods for research concerning georeferenced data analyses in conjunction with regional science through an integrated set of lectures and lab exercises. Discussion will focus on fundamental concepts of spatial and geo-statistics, as well as selected recent developments. Topics within the context of statistical analysis to be covered include: spatial autocorrelation, spatial sampling, spatial auto- and semivariogram models, eigenvector spatial filtering, and spatial missing value data imputation. Lab exercises, with case studies using example datasets, demonstrate implementations of conceptualizations in R, which is an open source statistical computation language and environment. Selected supplemental SAS code implementations also will be discussed.

 

Workshop 4: Introduction to Spatial Agent-Based Modeling (Full Day)

Workshop Facilitator – Yuri Mansury (Cornell University)

Workshop Description: In this workshop we will present ABM programming algorithms and advise for the beginners in agent-based modeling. NetLogo is the principal programming platform. Participants will receive handouts describing the algorithms and their documentations, as well as electronic copies of the NetLogo implementation. We will discuss models where spatial patterns emerge from the uncoordinated actions of heterogeneous agents. Examples covered include models of Residential Segregation and Iterated Prisoner’s Dilemma. The tutorial will proceed in stages where (i) ABM techniques and application are presented; (ii) the role of space is examined; (iii) participants gain hands-on experience working through ABM tutorials.

 

Workshop Registration

All workshops will be held at the Washington DC Hyatt Regency (the conference hotel). Half-day workshops are scheduled to start at 9:00am (Workshop 1) and 1:00pm respectively and will run for 3 hours. All full-day workshops (Workshops 3 and 4) will start at 9:00am and run until 4:00pm.

Registration will be through the NARSC website. Closing date for registration is October 18, 2014. Conference organizers have the right to cancel workshops that do not have sufficient enrollment.  Cost of half-day workshops is $50/registrant. Full-day sessions cost $75/registrant. Registration is limited and is first-come, first-served.  All instructors and participants must register for the NARSC conference.

 

Workshop I: Spatial Data Analysis with Urban and Regional Explorer: Data, Methodology, and Applications, Shuming Bao, Xinyue Ye, and Myunghwa Hwang. This half-day workshop is designed to introduce some new online tools for spatial studies, which will include Urban and Regional Explorer, a web based system for spatial data analysis offered by the China Data Center at the University of Michigan. This system utilizes the spatial analytical web services built on the spatial statistical library, PySAL, which is developed by GeoDa Center for Geospatial Analysis and Computation at Arizona State University. With this spatial explorer, users are able to retrieve spatial and non-spatial data, generate maps, charts and reports, conduct spatial statistical analysis, and make rapid, accurate spatial decisions with greater confidence. Data sources in this database includes demographic and business information for all PRC geographies, including 31 Provinces, 345 Prefecture Cities, 2,873 Counties, and over 50,000 Townships. It will demonstrate how space-time data of different formats and sources can be integrated, visualized, analyzed and reported in a web based system. Some applications in population and regional development, disaster assessment, environment and health, cultural and religious studies, and household surveys will be discussed for China and global studies. The workshop will discuss the methodology, functions, and data available for spatial studies as well as China studies. Researchers from government agencies, research institutes, and universities will find the workshop particularly relevant.
Workshop II: Computation Economics and New Economic Geography Settings, Mauricio Ramírez GrajedaThis is a technical tutorial, which aims at providing tools to numerically solve out standard New Economic Geography (NEG) settings, and to plot their fundamental correlations in MATLAB. To the best of my knowledge, there is an uncovered gap within the profession in such particular issues. In this regard, most of the NEG literature is either theoretical or empirical. However, there is a lack of works that systematically links computational economics to NEG models. This tutorial might help to improve the intuition behind the NEG paradigm as well as to motivate new theoretical developments. Workshop III: An Introduction to Spatial Statistical Methods in Regional Science, Daniel Griffith and Yongwan Chun. This tutorial presents a combination of conceptual and practical material, and is designed to deliver spatial statistical concepts and methods for research concerning georeferenced data analyses in conjunction with regional science through an integrated set of lectures and lab exercises. Discussion will focus on fundamental concepts of spatial and geo- statistics, as well as selected recent developments. Topics within the context of statistical analysis to be covered include: spatial autocorrelation, spatial sampling, spatial auto- and semivariogram models, eigenvector spatial filtering, and spatial missing value data imputation. Lab exercises, with case studies using example datasets, demonstrate implementations of conceptualizations in R, which is an open source statistical computation language and environment. Selected supplemental SAS code implementations also will be discussed.Workshop IV: Hatopoulou et al. Reinforcing the cause-effect chain: Transportation – air quality – exposure: Perspectives from three Disciplines. Marianne Hatzopoulou, Matthew Roorda, and Scott Weichenthal.  The workshop will cover the three dimensions to the problem of transportation and air quality: modelling transport and its emissions, modelling transport’s contribution to air quality, and assessing population exposure to traffic-related pollutants. The main dialogue that we intend to foster revolves around the integration of analytical tools along these three dimensions as a means of exploring the problem of transport policy appraisal in a new and more holistic way compared with traditional approaches to model coupling.
 

Workshop V: Data Analysis with the American Housing Survey, David A. Vandenbroucke, Tamara Cole, and Shawn J. Bucholtz. The American Housing Survey (AHS) is the richest source of data about the housing stock in the United States.  Begun in 1973, the current biennial sample is longitudinal back to 1985.  Housing is a key component of many models in regional science.  This tutorial aims to introduce analysts to the AHS, show them how to access existing tabulations, and teach them how to conduct their own custom tabulations using AHS public use microdata files.

 

Workshop VI: Workshop on Micro Data and Micro Data Access at Statistics Canada, Mark Brown. Statistics Canada maintains a large number of cross-sectional and longitudinal person and business micro data files, many of which are geocoded. The purpose of this workshop is to provide researchers with (1) a better understanding of the scope of these data, (2) the techniques the Agency is using to develop and analyse these datasets and (3) the steps that outside researchers can take to use these data.

 

Workshop VII: Introduction to Spatial Agent-based Modeling, Yuri Mansury and László Gulyás. This workshop introduces participants to computational agent-based modeling (ABM) of spatial systems. We present ABM programming algorithms and advise for the beginners in agent-based modeling. NetLogo is the principal multi-agent programming environment in this workshop. Participants will receive handouts describing the algorithms and their documentations, as well as electronic copies of the NetLogo implementation. We will show examples where direct interactions drive system behavior, in particular the application of agent-based modeling to a Residential Segregation problem where spatial patterns emerge from the uncoordinated actions of heterogeneous agents. The workshop proceeds in stages where (i) ABM techniques and application to Residential Segregation problem are presented; (ii) the role of space is examined; (iii) participants worked through ABM tutorials.

 

Cost & Registration

 

All workshops will be held at the Ottawa Westin (the conference hotel). All full-day workshops (Workshops II, III, V and VII) will start at 9:00am and run until 4:00pm. Half-day workshops are scheduled to start at 9:00am (Workshop IV) and 1:00pm (Workshop I and VI). Each half-day workshop will run for 3 hours.

 

Registration will be through the NARSC website. Closing date for registration is October 20th, 2012. Conference organizers have the right to cancel workshops/tutorials that do not have sufficient enrollment.  Cost of half-day workshops is $50/registrant. Full-day sessions cost $75/registrant. Registration is limited and is first-come, first-served.  All instructors and participants must register for the NARSC conference.

<MMString:LoadString id="insertbar/registered" />