Class Web Site: Land-Use Modeling Techniques and Applications (GEOG531/EVPP531, CSS643)

Syllabus



Lecture Notes (These will be updated from the 2007 to 2008 versions as the semester progresses, likely right before class.)
    Week 1:  Introduction
    Week 2:  Scale and dynamics and Conditional Probability Handout and guest lecture by Darla Muroe and Grey Evenson, The Ohio State University    
    Week 3:  Scale and dynamics cont.; Drivers of LUCC
    Week 4:  Evaluating model performace    
    Week 5:  CA models, week 1Guest lecture, TBA
   Week 6:  CA models, week 2
   Week 7:  Statistical  modeling in developing counties
   Week 8:  Dr. Parker out of town; guest lecture TBA
    Week 9:  Statistical models in urban contexts.  Bucholtz presentation:  Intro to Spatial Econometrics   
   Week 10:  Optimization models: Linear Programming Examples 1 and 2
   Week 11:  Agent-based modeling overview
   Week 12: Integrated models
   Week 13: Term paper presentations
   Week 14: Thanksgiving break
   Week 15:  Term paper presentations

Short writing assignment due Sept. 3

Short writing assignment due Sept. 10

Short writing assignment due Sept. 24 (REVISED)


Short writing assignment questions, weeks 5-12


Questions to Answer when Building a Land-Use Model

Article Selection Spreadsheet

Presentation Assignments


Literature Search Resources at GMU (scholar.google.com is also useful)

            Geobase
        Econlit
        Web of Science



Course Bibliography  (Both required and supplementary readings)
        Rich text format
        Endnote Library
            Spatial Agent-based modeling bibliography


Related Courses and Resources


•   Dan Brown's "GIS and Landscape Modeling" course at the University of Michigan
•   Elena Irwin's "The Economics of Growth and Sprawl in America’s Countryside" at the Ohio State university
• "Urban Growth Modeling" seminar at U.C. Santa Barbara
  
• "Land-Use Change Modeling" seminar at U.C. Santa Barbara
• Luc Anselin's spatial econometrics class at the University of Illinois
• Sucharita Gopal's Artificial Neural Nets for Spatial Data Analysis core curriculum in GIscience module
  
• MODLUC European graduate training workshop
• Steve Mason's Seminar in Spatial Analysis and Modeling at the University of Minnesota
  




Software and Tools (See article selection spreadsheet for more)

   Von Thunen model, created by the Center for Educational Software at the Open University
    GRASP: Generalized Regression Analysis and Spatial Prediction
  GeoDa, Geodata Analysis software beta version
Cellab cellular automaton software by Rudy Rucker
    Netlogo (Cellular automaton and simple agent-based models)
  Excel spreadsheet for comparison of categorical maps, by R. G. Pontius Jr., Clark University
    Linear Programming FAQs
    RIKS Map Comparison Kit


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