Workshops and Tutorials
All Workshops will be held on Wednesday, November 11th, 2015
Workshop/Tutorial #1: Spatial Data Analysis with PySAL and GeoDaSpace
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 70,000 times. This two-part tutorial will first provide participants with an introduction to PySAL version 1.10. In the second part of the tutorial participants will lean how to carry out advanced exploratory spatial data analysis with PySAL, and will be instructed in the use of GeoDaSpace, a GUI application based on PySAL designed for spatial econometric analysis.
Sergio J. Rey, Professor of Geographical Sciences, Arizona State University
Luc Anselin, Director of GeoDa Center of Geospatial Analysis and Computation, Arizona State University
Cost: This is a one day workshop with a $75 registration fee.
Details: PySAL tutorial
Workshop/Tutorial #2: Economic Modeling with TERM-USA Using Customized RunGEM (CRunGEM)
Description: This one-day workshop introduces the participants to TERM-USA, a multi-regional computable general equilibrium (CGE) economic model of the United States, and provides practical experience in conducting model simulations. TERM-USA captures the behavior of economic agents in US regions linked by interregional trade and factor flows. It is a powerful tool for analysing a wide range of issues facing US regions. TERM-USA is implemented using CRunGEM, a Windows program that makes it easy for users to run the model. The workshop overviews the main characteristics of TERM-USA and its database, and demonstrates the model’s capabilities in analyzing some typical regional issues, such as the regional impacts of a major industrial project, a new fiscal policy, regional development policies, among many others. A particular feature of the workshop will be hands-on computer exercises with CRunGEM to provide workshop participants with experience in conducting a range of typical simulations.
John Madden, Professor, Centre of Policy Studies, Victoria University, Melbourne, Australia
Details: CGE Workshop Details
Workshop 1: Spatial Data Analysis with PySAL and GeoDaSpace (Full Day)Workshop Facilitators: Sergio 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 50,000 times. This two-part tutorial will first provide participants with an introduction to Python and related tools for spatial and regional analysis. In the second part of the tutorial participants will learn version 1.8 of PySAL as well as GeoDaSpace, a GUI application based on PySAL designed for spatial econometric analysis. Part I is thus designed for participants with no prior Python experience, while the second part assumes knowledge of materials covered in Part I.
Workshop 2: Computational Economics and New Economic Geography Settings (Full Day)
Workshop Facilitators: Mauricio Ramírez Grajeda, Universidad de Guadalajara and Xiomara Vázquez Guillén, Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM) at Guadalajara,
Workshop Description: This is a technical workshop, 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 our 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 workshop might help to improve the intuition behind the NEG paradigm as well as to motivate new theoretical developments. The basic references are Miranda and Flacker (2001, MIT Press) and Fujita, Krugman and Venables (1999, MIT Press). We will provide all the programs to the audience.
Workshop 3: Defining Best Practices for Economic Development Assessment and Evaluation for Food System Initiatives
Workshop Facilitators: Dawn Thilmany, Colorado State University and Luanne Lohr, U.S. Department of Agriculture (Half Day)
Workshop Description: This workshop will explore the best practices for framing and executing economic development metrics, assessment and evaluation of food system initiatives. The workshop will identify and provide guidance regarding several key issues and empirical challenges including: How to collect appropriate data, how to appropriately frame the study, how to interpret results from commonly applied economic impact exercises and how common economic and regional science tools are being used and modified to evaluate the sector. This workshop will explore real world studies of food system initiatives using IMPLAN software to illustrate the topics above.