For Week                             Readings

 

2.             Geographical Modeling: The Synthesis of GIS and Simulation Modeling, M. H. P. Hall, C.A.S. Hall, and M.R. Taylor, in C.A.S. Hall, (ed.) Quantifying Sustainable Development: The Future of Tropical Economies, Academic Press, San Diego, CA.  Chpt. 7, 55 pp., 2000.  (Read Sections I-IIC)

 

The Round Earth to Flat Map: Map Projections for Designers, in B. Dent, (ed.), Cartography Thematic Map Design, 2nd Edition, pp. 35-62, 1990, William C. Brown, Dubuque, IA.

 

3.             Maps As Data: Fundamental Considerations in Computer-Assisted Map Analysis, J.K. Berry, in Proceedings of GIS/LIS '88 3rd International Conference, American Society of Photogrammetry and Remote Sensing and American Congress on Surveying and Mapping, Falls Church, Virginia, pp. 273-284, 1988..

 

Data and Measurement , D. A. Griffith, D. A. and C.G. Amrhein, in Statistical Analysis for Geographers, Prentice Hall, Englewood Cliffs, NJ., pp. 34-50, 1991.

 

4.             Matching spatial databases and quantitative models in land resource assessment, P. A. Burrough. Soil Use and Management, 5:1, pp.3-8, 1989..

 

                Fundamental operations in computer-assisted map analysis, J. Berry. International Journal of Geographic Information Systems, 1:2, pp. 119-136, 1987..             

 

                A GIS-Based Crop-Specific Model for Physical Suitability Assessment, K. E. Juracek, pp. 832-839.

 

Hydrologic/Water Quality Modeling in a GIS Environment, Shanholtz, V. O., C. J. Desai, N. Zhang, J.W. Kleene, and C. D. Metz, ASAE Paper No. 90-3033, 1990. 

 

5.                   Modeled Climate-Induced Glacier Change in Glacier National Park, 1850–2100. M. H. P. Hall and D. B. Fagre, cover article in BioScience: Vol. 53, No. 2, pp. 131–140.

 

Digital Terrain Modeling: A Review of Hydrological, Geomorphological, and Biological Applications, I. D. Moore, R. B. Grayson, and A. R. Ladson, in K. J. Beven and I. D. Moore (Eds.), Terrain Analysis and Distributed Modelling in Hydrology, John Wiley and Sons, New York. pp. 7-34., 1993..

 

6.                   Geographical Information Approach to Distributed Modelling, R. S. Drayton, B. M. Wilde, and J. H. K. Harris, in K. J. Beven and I. D. Moore (Eds.), Terrain Analysis and Distributed Modelling in Hydrology, John Wiley and Sons, New York, pp. 193-200, 1993.

 

Methodologies for Development of Hydrologic Response Units Based on Terrain, Land Cover, and Soils Data, B. A. Engel, in L. Steyaert, B. O. Parks, C. Johnston, and M. F. Goodchild, (Eds.), GIS and environmental modeling: progress and research issues.  Fort Collins, CO, GIS World Books, pp. 123-128, 1995. 

 

Grid-Based Curve Numbers, D. White, Journal of Water Resources Planning and Management 114:6, pp. 601-612, 1988.

 

Extracting Topographic Structure from Digital Elevation Data for Geographic Information System Analysis, S. K. Jenson, and J. O. Domingue, Photogrammetric Engineering and Remote Sensing, 54:11, pp. 1593-1600, 1988.

 

7.                   Using Gradient Analysis to Determine Biophysical Constraints to Economic Return on Investment in the Costa Rican Agricultural Sector, M. H. P. Hall,  and C. A. S. Hall.   Proceedings Advances in Energy Studies: Energy Flows in Ecology and Economy, MUSIS, Rome, 1998.

 

The distribution and abundance of organisms as a consequence of energy balances along multiple environmental gradients, Hall, C.A.S., J.A. Stanford and R. Hauer. Oikos 65: 377-390, 1992. (not in reader)

 

Predictive Modeling of Cattail and Waterlily Distribution in a South Carolina Reservoir Using GIS, Jensen, J.R., S. Narumalani, O. Weatherbee, and K. S. Morris, Jr., Photogrammetric Engineering & Remote Sensing, 58:11, pp. 1561-1568, 1992.

 

8.             Prediction of Solar Radiation on Inclined Surfaces, J. K Page (selected chapters). Solar Energy R&D in the European Community: Series F, Volumen 3, D. Reidel Publishing, Dordrecht, 1986.

 

GIS-Based Solar Radiation Modeling, L. Steyaert, B. O. Parks, C. Johnston, and M. F. Goodchild, (Eds.), GIS and environmental modeling: progress and research issues, R. Dubayah, R. and P. M. Rich..  Fort Collins, CO, GIS World Books, pp. 129-134 ,  1995.

 

9.             Scale Issues in Developing a Deforestation Baseline for the Region of the Noel Kempff Mercado Climate Action Project, Bolivia, Hall, M. H. P., A. Dushku, and S. Brown, 2007. in G. LeClerc and C. A. S. Hall (eds.) Making Development Work: Scientific Alternatives to Neoclassical Economic Theory, University of New Mexico Press, Albuquerque, NM.  (not in reader)

               

                Modeling the spatial pattern of land-use change with GEOMOD2: application and validation for Costa Rica, R. G. Pontius, Jr., J. D. Cornell, and C. A. S. Hall.  Agric. Ecosystems & Environment, 85, pp. 191-203, 2001.

 

                Modeling land-use change in the Ipswich watershed, Massachusetts, USA, L. Schneider, R. G. Pontius Jr., Agric. Ecosystems & Environment, 85, pp. 83-94, 2000.

 

10.          An Australian geographical information and modeling system for natural area management. S. R. Kessel, Int. J. Geographical Information Systems, 4:3, 333-362, 1990.

 

                Simulation of fire growth in mountain environments, M. J. Vasconcelos, J. M. C. Pereira and B. P. Zeigler, in M.F. Price and D. I. Heywood, Mountain Environments and Geographic Information Systems, Taylor and Francis, Bristol, PA., pp. 43-58, 1994.

 

11.          A Geographically-based Ecosystem Model and its Application to the Carbon Balance of the Luquillo Forest, Puerto Rico, C. A. S. Hall, M.R. Taylor and E. Everham. Water, Air and Soil Pollution,  64:385-404, 1992.

 

                Mapping Regional Forest Evapotranspiration and Photosynthesis by Coupling Satellite Data with Ecosystem Simulation, S. W. Running, and R. R. Nemani. Ecology,  70:4, 1090-1101, 1989.

 

The Development of Dynamic Spatial Models for Landscape Ecology: A Review and Prognosis, F. H. Sklar and R. Costanza, in M. Turner and R. H. Gardner (Eds.), Quantitative Methods in Landscape Ecology: The Analysis and Interpretation of Landscape Heterogeneity, Springer-Verlag, New York, NY, pp. 239-288, 1991.

 

Modeling Coastal Landscape Dynamics: Process-based dynamic spatial ecosystem simulation can examine long-erm natural changes and human impacts, F. H. Sklar and R. Costanza. BioScience, pp. 91-107, Feb. 1990.

 

 

12.                “Color: Attraction and Distraction” Chapter 10 in How to Lie with Maps, Monmonier, M. The University of Chicago, Chicago, 1991.

 

Visual and Statistical Thinking: Displays of Evidence for Making Decisions, pp. 27 – 54 in Tufte, E., Visual Explanations: Images and Quantities, Evidence and Narrative, Graphics Press, Chesire, CT, 1997.

 

Color and Information, pp. 81-96 in Tufte, E., Envisioning Information, Graphics Press, Chesire, CT, 1990.

 

13.                An Individual-Based Simulation Model of Herbivory in a Heterogeneous Landscape, J. B. Hyman, J. B. McAninch, and D. L. DeAngelis, in M. G. Turner and R. H. Gardner (eds.) Quantitative Methods in Landscape Ecology: The Analysis and Interpretation of Landscape Heterogeneity, Springer-Verlag, New York, NY, pp. 443-475, 1990.

 

Quantification Error Versus Location Error in Comparison of Categorical Maps. Pontius, R. G., Photogrammatic Engineering & Remote Sensing, August, 2000, pp 1011 – 1016.

 

Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles. S. Stehman and R. L. Czaplewski, Remote Sensing Environment, (64)331:344. 1998.

 

14.                Individual student presentations  of readings related to their research.

15.                Individual student presentations  of readings related to their research.