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Applying Geographical Information Systems (GIS) to Environmental and Resource Economics

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Abstract

Many of the analyses undertaken byenvironmental and resource economics areintimately concerned with spatial variations.This article examines the contribution whichGeographical Information Systems (GIS) mayprovide in incorporating the complexities ofthe spatial dimension within such analyses. Thepaper introduces the reader to the types ofdata handled by a GIS and overviews thepractical functionality offered by suchsystems. A brief literature review issupplemented by a number of more detailedapplications illustrating various GIStechniques which may be of use to the appliedenvironmental or resource economist.

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References

  • Adger, W. N., Brown, K., Shiel, R. S. and Whitby, M. C. (1992), ‘Carbon dynamics of land use in Great Britain’, Journal of Environmental Management 36, 117–133.

    Google Scholar 

  • Anselin, L. (1988), Spatial Econometrics:Methods and Models. Dordrecht, The Netherlands: Kluwer Academic Publishers.

    Google Scholar 

  • Anselin, L. and S. J. Rey (1997), ‘Introduction to the Special Issue on Spatial Econometrics’, International Regional Science Review 20(1–2), 1–7.

    Google Scholar 

  • Appleton, K., A. A. Lovett, G. Sünnenberg and T. Dockerty (2002), ‘Rural Landscape Visualisation from GIS Databases: A Comparison of Approaches, Options and Problems’, Computers, Environment and Urban Systems 26, 141–162.

    Google Scholar 

  • Azzaino, Z., J. M. Conrad and P. J. Ferraro (2001), Optimising the Riparian Buffer: Harold Brook in the Skaneateles Lake Watershed, New York. Ithaca, NY: Department of City and Regional Planning, Cornell University.

    Google Scholar 

  • Bateman, I. J. (1994), ‘The Contingent Valuation and Hedonic Pricing Methods: Problems and Possibilities’, Landscape Research 19(1), 30–32.

    Google Scholar 

  • Bateman, I. J. (1996), An Economic Comparison of Forest Recreation, Timber and Carbon Fixing Values with Agriculture in Wales: A Geographical Information Systems Approach. Ph.D. Thesis, Department of Economics, University of Nottingham.

  • Bateman, I. J., J. S. Brainard, G. D. Garrod and A. A. Lovett (1999a), ‘The Impact of Journey Origin Specification and Other Measurement Assumptions upon Individual Travel Cost Estimates of Consumer Surplus: A Geographical Information Systems Analysis’, Regional Environmental Change 1(1), 24–30.

    Google Scholar 

  • Bateman, I. J., J. S. Brainard and A. A. Lovett (1995), ‘Modelling Woodland Recreation Demand Using Geographical Information Systems: A Benefit Transfers Study’, CSERGE Global Environmental Change Working Paper 95-06, Centre for Social and Economic Research on the Global Environment, University of East Anglia and University College London, 65 pp.

  • Bateman, I. J., R. T. Carson, B. Day, W. M. Hanemann, N. Hanley, T. Hett, M. Jones-Lee, G. Loomes, S. Mourato, E. Ozdemirogla, D. W. Pearce, R. Sugden and J. Swanson (2002b), Guidelines for the Use of Expressed Preference Methods for the Valuation of Preferences for Non-market Goods. Cheltenham: Edward Elgar Publishing.

    Google Scholar 

  • Bateman, I. J., B. Day, I. Lake and A. A. Lovett (2001), The Effect of Road Traffic on Residential Property Values: A Literature Review and Hedonic Pricing Study. Edinburgh: Scottish Executive and The Stationery Office.

    Google Scholar 

  • Bateman, I. J., C. Ennew, A. A. Lovett and A. J. Rayner (1999c), ‘Modelling and Mapping Agricultural Output Values Using Farm Specific Details and Environmental Databases’, Journal of Agricultural Economics 50(3), 488–511.

    Article  Google Scholar 

  • Bateman, I. J., G. D. Garrod, J. S. Brainard and A. A. Lovett (1996), ‘Measurement, Valuation and Estimation Issues in the Travel Cost Method: A Geographical Information Systems Approach’, Journal of Agricultural Economics 47(2), 191–205.

    Article  Google Scholar 

  • Bateman, I. J. and I. H. Langford (1997), ‘Non-Users' Willingness to Pay for a National Park: An Application and Critique of the Contingent Valuation Method’, Regional Studies 31(6), 571–582.

    Google Scholar 

  • Bateman, I. J., I. H. Langford, N. Nishikawa and I. Lake (2000), ‘The Axford Debate Revisited: A Case Study Illustrating Different Approaches to the Aggregation of Benefits Data’, Journal of Environmental Planning and Management 43(2), 291–302.

    Google Scholar 

  • Bateman, I. J. and A. A. Lovett (1998), ‘Using Geographical Information Systems (GIS) and Large Area Databases to Predict Yield Class: A Study of Sitka Spruce in Wales’, Forestry 71(2), 147–168.

    Google Scholar 

  • Bateman, I. J. and A. A. Lovett (2000a), ‘Modelling and Mapping Timber Values Using Geographical Information Systems’, Quarterly Journal of Forestry 94(2), 127–138.

    Google Scholar 

  • Bateman, I. J. and A. A. Lovett (2000b), ‘Modelling and Valuing Carbon Sequestration in Softwood and Hardwood Trees, Timber Products and Forest Soils’, Journal of Environmental Management 60(4), 301–323.

    Google Scholar 

  • Bateman, I. J., A. A. Lovett and J. S. Brainard (1999b), ‘Developing a Methodology for Benefit Transfers Using Geographical Information Systems: Modelling Demand for Woodland Recreation’, Regional Studies 33(3), 191–205.

    Google Scholar 

  • Bateman, I. J., A. A. Lovett and J. S. Brainard (2002a), Applied Environmental Economics: A GIS Approach to Cost-Benefit Analysis. Cambridge: Cambridge University Press.

    Google Scholar 

  • Bell, K. P. and N. E. Bockstael (2000), ‘Applying The Generalised-Moments Approach to Spatial Problems Involving Microlevel Data’, The Review of Econometrics and Statistics 82(1), 72–82.

    Google Scholar 

  • Belt, G. H., J. O'Laughlin and T. Merrill (1992), Design of Forest Riparian Buffer Strips for the Protection of Water Quality: Analysis of the Scientific Literature. Moscow, ID: University of Idaho.

    Google Scholar 

  • Bishop, R. C. and K. J. Boyle (1985), ‘The economic Value of Illinois Beach State Nature Preserve’, Final Report to the Illinois Department of Conservation. Madison, WI: HBRS Inc.

    Google Scholar 

  • Bockstael, N. E. (1996), ‘Modelling Economics and Ecology: The Importance of a Spatial Perspective’, American Journal of Agricultural Economics 78 (December), 1168–1180.

    Google Scholar 

  • Bockstael, N. E. and K. P. Bell (1998), ‘Land Use Patterns and Water Quality: The Effect of Differential Land Management Controls’, in R. Just and S. Netanyahu, eds., International Water and Resource Economics Consortium, Conflict and Cooperation of Trans-boundary Water Resources. Norwell, MA: Kluwer Academic Publishers.

    Google Scholar 

  • Brainard, J. S., I. J. Bateman and A. A. Lovett (2001), ‘Modelling Demand for Recreation in English Woodlands’, Forestry 74(5), 423–438.

    Google Scholar 

  • Brainard, J. S., A. P. Jones, I. J. Bateman, A. A. Lovett and P. J. Fallon (forthcoming), ‘Modelling Environmental Equity: Access to Air Quality in Birmingham, UK’, Environment and Planning A, in press.

  • Brainard, J. S., A. A. Lovett and I. J. Bateman (1997), ‘Using Isochrone Surfaces in Travel Cost Models’, Journal of Transport Geography 5(2), 117–126.

    Google Scholar 

  • Brainard, J. S., A. A. Lovett and I. J. Bateman (1999), ‘Integrating Geographical Information Systems into Travel Cost Analysis and Benefit Transfer’, International Journal of Geographical Information Systems 13(3), 227–246.

    Google Scholar 

  • Bryk, A. S. and S.W. Raudenbush (1992), Hierarchical Linear Models. Newbury Park: Sage.

    Google Scholar 

  • Cannell, M. G. R., R. Milne, K. J. Hargreaves, T. A. W. Brown M. M. Cruickshank, R. I. Bradley, T. Spencer, D. Hope, M. F. Billett, W. N. Adger and S. Suback (1999), ‘National Inventories of Terrestrial Carbon Sources and Sinks: The UK Experience’, Climate Change 42, 505–530.

    Google Scholar 

  • Carr, A. P. (1998), Choctaw Eco-Industrial Park: An Ecological Approach to Industrial Land-Use Planning and Design', Landscape and Urban Planning 42(2–4), 239–257.

    Google Scholar 

  • Case, A. C. (1991), ‘Spatial Patterns in Household Demand’, Econometrica 59, 953–965.

    Google Scholar 

  • Champ, P. A., K. J. Boyle and T. C. Brown, eds. (2002), A Primer on Non-market Valuation. Dordrecht: Kluwer.

    Google Scholar 

  • Chomitz, K. and D. Gray (1996), ‘Roads, Land-Use and Deforestation: A Spatial Model Applied to Belize’, World Bank Economic Review 10, 487–512.

    Google Scholar 

  • Chrisman, N. R. (1997), Exploring Geographic Information Systems. New York: John Wiley.

    Google Scholar 

  • Clapp, J. M., M. Rodriguez and G. Thrall (1997), ‘How GIS Can Put Urban Economic Analysis on the Map’, Journal of Housing Economics 6, 368–386.

    Google Scholar 

  • Day, B. H. (2002), ‘Spatial Analysis of Hedonic Data: Glasgow Case Study’, mimeo, Centre for Social and Economic Research on the Global Environment, University of East Anglia.

  • Department of Transport (DoT), Welsh Office (1988), Calculation of Road Traffic Noise. London: HMSO.

    Google Scholar 

  • Department of the Environment (DoE) (1987), Handling Geographic Information: Report of the Committee of Enquiry chaired by Lord Chorley. London: HMSO.

    Google Scholar 

  • Din, A., M. Hoesli and A. Bender (2001), ‘Environmental Variables and Real Estate Prices’, Urban Studies 38(11), 1989–2000.

    Google Scholar 

  • Doss, C. R. and S. J. Taff (1996), ‘The Influence of Wetland Type and Wetland Proximity on Residential Property Values’, Journal of Agricultural and Resource Economics 21, 120–129.

    Google Scholar 

  • ENDS (1998), ‘Water Abstraction Decision Deals Savage Blow to Cost-Benefit Analysis’, ENDS 278, 16–18.

    Google Scholar 

  • Entwistle, B., S. J. Walsh, R. R. Rindfuss and A. Chamratrithirong (1998), 'Land-Use/Land-Cover and Population Dynamics in Nang Rong, Thailand, in D. Liverman, E. F. Moran, R. R. Rindfuss and P. C. Stern, eds., People and Pixels: Linking Remote Sensing and Social Science. Washington D.C.: National Academy Press, pp. 1–27.

    Google Scholar 

  • Fankhauser, S. (1994), ‘The Social Costs of Greenhouse Gas Emissions: An Expected Value Approach’, The Energy Journal 15(2), 157–184.

    Google Scholar 

  • Ferraro, P. J. (2001), Targeting Conservation Contracts in Heterogeneous Landscapes: A Distance Function Approach and Application to Watershed Management. Paper presented to the Northeastern Agricultural and Resource Economics Association, Bar Harbor, ME.

    Google Scholar 

  • Fisher, P. and D. Unwin, eds. (2002), Virtual Reality in Geography. London: Taylor and Francis.

    Google Scholar 

  • Fleming, M. M (1999), ‘Growth Controls and Fragmented Suburban Development: The Effect on Land Values’, Geographic Information Sciences 15(2), 153–162.

    Google Scholar 

  • Fotheringham, A. S. (1999a), ‘Geocomputational Analysis’, in S. Openshaw, R. J. Abrahart and T. E. Harris, eds., Geocomputation. London: Taylor and Francis Publishers.

    Google Scholar 

  • Fotheringham, A. S. (1999b), ‘GIS-Based Spatial Modelling: A Step Forwards or a Step Backwards?’, in A. S. Fotheringham and M. Wegener, eds., Spatial Models and GIS: A European Perspective. London: Taylor and Francis Publishers.

    Google Scholar 

  • Fotheringham, A. S., C. Brunsdon and M. Charlton (2000), Quantitative Geography: Perspectives on Spatial Data Analysis. London: SAGE Publications.

    Google Scholar 

  • Foundation for Water Research (1996), Assessing the Benefits of Surface Water Quality Improvements. Marlow: FWR.

    Google Scholar 

  • Freeman, A. M. (1979), The Benefits of Environmental Improvements: Theory and Practice. Baltimore: Johns Hopkins University Press.

    Google Scholar 

  • Fujita, M., P. Krugman and A. Venables (1999), The Spatial Economy: Cities, Regions, and International Trade. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Geoghegan, J. (2002). ‘The Value of Open Spaces in Residential Land Use’, Land Use Policy, in press.

  • Geoghegan, J. and N. E. Bockstael (2000), Smart Growth and the Supply of Sprawl. Paper presented at the Association of Environmental and Resource Economists Workshop. La Jolla, CA.

  • Geoghegan, J., S. Cortina-Villar, P. Klepeis, P. Macario-Mendoza, Y. Ogneva-Himmelberger, R. R. Chowdhury, B. L. Turner and C. Vance (2001), ‘Modelling Tropical Deforestation in the Southern Yucatan Peninsular Region: Comparing Survey and Satellite Data’, Agriculture, Ecosystems and Environment 85, 25–46.

    Google Scholar 

  • Geoghegan, J., L. A. Wainger and N. E. Bockstael (1997), ‘Spatial Landscape Indices in a Hedonic Framework: An Ecological Economics Analysis Using GIS’, Ecological Economics 23, 251–264.

    Google Scholar 

  • Goldstein, H. (1995), Multilevel Statistical Models (2nd edition). London: Edward Arnold.

    Google Scholar 

  • Hallett, S. H., R. J. A. Jones and C. A. Keay (1996), ‘Environmental Information Systems Developments for Planning Sustainable Land Use’, International Journal of Geographical Information Systems 10(1), 47–64.

    Google Scholar 

  • Hotelling, H. (1929), ‘Stability in Competition’, Economic Journal 39, 41–57.

    Google Scholar 

  • Ihlanfeldt, K. R. and L. O. Taylor (2001), Assessing the Impacts of Environmental Contamination on Commercial and Industrial Properties. Florida: Department of Economics, Florida State University.

    Google Scholar 

  • Irwin, E. G. (2000), Using Spatial Data and Methods to Study Rural-Urban Change. Paper presented at Rural Policy: Issues, Data Needs and Data Access Conference. Washington D.C.

  • Irwin, E. G. and N. E. Bockstael (2001), Interacting Agents, Spatial Externalities, and the Endogenous Evolution of Residential Land Use Patterns. Department of Agricultural, Environmental, and Development Economics Working Paper AEDE-WP-0010-01, The Ohio State University.

  • Irwin, E. G. and J. Geoghegan (2001), ‘Theory, Data, Methods: Developing Spatially Explicit Economic Models of Land-Use Change’, Agriculture, Ecosystems and Environment 85(1), 7–23.

    Google Scholar 

  • Johnston, R. J. (1997), ‘W(H)Ither Spatial Science and Spatial Analysis?’ Futures 29, 323–326.

    Google Scholar 

  • Jones, A. P., I. J. Bateman and J. Wright (2001), Predicting and Valuing Informal Recreation Use of Inland Waterways: Report to British Waterways, Centre for Social and Economic Research on the Global Environment, University of East Anglia and University College London, 81 pp.

    Google Scholar 

  • Klotz, S. (1999), ‘Econometric models with Spatial Autocorrelation — An Introductory Survey’, Jahrbucher Fur Nationalokonomie und Statistik 218(1–2), 168–196.

    Google Scholar 

  • Kraak, M. J. and F. J. Ormeling (1996), Cartography: Visualisation of Spatial Data. Harlow: Longman.

    Google Scholar 

  • Lake, I. R., I. J. Bateman, B. H. Day and A. A. Lovett (2000b), ‘Improving Land Compensation Procedures via GIS and Hedonic Pricing’, Environment and Planning C 18, 681–696.

    Google Scholar 

  • Lake, I. R., A. A. Lovett, I. J. Bateman and B. Day (2000a), ‘Using GIS and Large-Scale Digital Data to Implement Hedonic Pricing Studies’, International Journal of Geographical Information Systems 14(6), 521–541.

    Google Scholar 

  • Lake, I. R., A. A. Lovett, I. J. Bateman and I. H. Langford (1998), ‘Modelling Environmental Influences on Property Prices in an Urban Environment’, Computers, Environment and Urban Systems 22(2), 121–136.

    Google Scholar 

  • Landis, J. and M. Zhang (1998), ‘The Second Generation of the California Urban Futures Model. Part 1: Model Logic and Theory’, Environment and Planning A 25, 657–666.

    Google Scholar 

  • Leggett, C. G. and N. E. Bockstael (2000), ‘Evidence of the Effects of Water Quality on Residential Land Prices’, Journal of Environmental Economics and Management 39, 121–144.

    Google Scholar 

  • LeSage, J. P. (1997), ‘Bayesian Estimation of Spatial Autoregressive Models’, International Science Review 20(1–2), 113–129.

    Google Scholar 

  • Longford, N. T. (1993), Random Coefficient Models. Oxford: Clarendon Press.

    Google Scholar 

  • Longley, P. A., M. F. Goodchild, D. J. Maguire and D. W. Rhind (2001), Geographic Information Systems and Science. Chichester: John Wiley and Sons Ltd.

    Google Scholar 

  • Loomis, J. B., B. Roach, F. Ward and R. Ready (1995), ‘Testing Transferability of Recreation Demand Models Across Regions: A Study of Corps of Engineers Reservoirs’, Water Resources Research 31(3), 721–730.

    Google Scholar 

  • Lovett, A. A. (2000), ‘GIS and Environmental Management’, in D. O'Riordan, ed., Environmental Science for Environmental Management. Prentice Hall, Harlow, pp. 267–285.

    Google Scholar 

  • Lovett, A. A. and I. J. Bateman (2001), ‘Economic Analysis of Environmental Preferences: Progress and Prospects’, Computers, Environment and Urban Systems 25, 131–139.

    Google Scholar 

  • Lovett, A. A., J. S. Brainard and I. J. Bateman (1997), ‘Improving Benefit Transfer Demand Functions: A GIS Approach’, Journal of Environmental Management 51, 373–389.

    Google Scholar 

  • Macmillan, D. C. (1991), ‘Predicting the General Yield Class of Sitka Spruce on Better Quality Land in Scotland’, Forestry 64(4), 359–372.

    Google Scholar 

  • Mahan, B. L., S. Polaksy and R. Adams (2000), ‘Valuing Urban Wetlands: A Property Price Approach’, Land Economics 76(1), 100–113.

    Google Scholar 

  • Martin, D. (1996), Geographical Information Systems: Socioeconomic Applications. London: Routledge.

    Google Scholar 

  • Martin, D., P. Longley and G. Higgs (1994), ‘The Use of GIS in the Analysis of Diverse Urban Data Sets’, Computers, Environment and Urban Systems 18, 55–56.

    Google Scholar 

  • McLeod, P. B. (1984), ‘The Demand for Local Amenity: A Hedonic Price Analysis’, Environment and Planning A 16, 389–400.

    Google Scholar 

  • Mendelsohn, R., J. Hof, G. Peterson and R. Johnson (1992), ‘Measuring Recreation Values with Multiple Destination Trips’, American Journal of Agricultural Economics 24(4), 926–933.

    Google Scholar 

  • Mertens, B. and E. Lambin (1997), ‘Spatial Modelling of Deforestation in Southern Cameroon’, Applied Geography 17, 143–162.

    Google Scholar 

  • Metz, W. C. and D. E. Clark (1997), ‘The Effect of Decisions about Spent Nuclear Fuel Storage on Residential Property Prices’, Risk Analysis 17, 571–582.

    Google Scholar 

  • Morain, S. A. (1998), ‘A Brief History of Remote Sensing Applications, with Emphasis on Landsat’, in D. Liverman, E. F. Moran, R. R. Rindfuss and P. C. Stern, eds., People and Pixels: Linking Remote Sensing and Social Science. Washington D.C.: National Academy Press, pp. 1–27.

    Google Scholar 

  • Moran, D. (1999), ‘Benefits Transfer and Low Flow Alleviation: What Lessons for Environmental Valuation in the UK?’, Journal of Environmental Planning and Management 42(3), 425–436.

    Google Scholar 

  • National Assembly for Wales (2001), Draft Document on the Future of Agriculture. Cardiff: National Assembly for Wales.

    Google Scholar 

  • Nelson, G. and D. Hellerstein (1997), ‘Do Roads Cause Deforestation? Using Satellite Images in Econometric Analysis of Land Use’, American Journal of Agricultural Economics 79, 80–88.

    Google Scholar 

  • Nickerson, C. J. and N. E. Bockstael (2001), ‘Farmland Preservation Programs: Implications for the Spatial Pattern of Preserved, Privately-Owned Farmland. Paper presented at RSAI Meeting, Charleston, SC.

  • Nickerson, C. J. and L. Lynch (2001), ‘The Effect of Farmland Preservation Programs on Farmland Prices’, American Journal of Agricultural Economics 83(2), 341–351.

    Google Scholar 

  • Orford, S. (1999), Valuing the Built Environment. Aldershot: Ashgate.

    Google Scholar 

  • Pastor, M., J. Sadd and J. Hipp (2001), ‘Which Came First? Toxic Facilities, Minority Move-In, and Environmental Justice?’, Journal of Urban Affairs 23(1), 1–21.

    Google Scholar 

  • Paterson, R. W. and K. J. Boyle (2002), ‘Out of Sight, Out of Mind? Using GIS to Incorporate Visibility In Hedonic Property Value Models’, Land Economics, in press.

  • Pfaff, A. (1999), ‘What Drives Deforestation in the Brazilian Amazon?’, Journal of Environmental Economics and Management 37, 26–43.

    Google Scholar 

  • Pickles, J., ed. (1995), Ground Truth: The Social Implications of Geographic Information Systems. New York: Guildford Press.

    Google Scholar 

  • Powe, N. A., G. D. Garrod, C. F. Brunsdon and K. G. Willis (1997), ‘Using a Geographic Information System to Estimate an Hedonic Price Model of the Benefits of Woodland Access’, Forestry 70(2), 139–149.

    Google Scholar 

  • Rhind, D. W. (1990), ‘Global Databases and GIS’, in M. J. Foster and P. J. Shand, eds., The Association for Geographical Information Yearbook 1990. London: Taylor and Francis.

    Google Scholar 

  • Rindfuss, R. R. and P. C. Stern (1998), ‘Linking Remote Sensing and Social Science: The Need for Challenges’, in D. Liverman, E. F. Moran, R. R. Rindfuss and P. C. Stern, eds., People and Pixels: Linking Remote Sensing and Social Science. Washington D.C.: National Academy Press, pp. 1–27.

    Google Scholar 

  • Rosenthal, D. H., D. M. Donnelly, M. B. Schiffhauer and G. E. Brink (1986), ‘User's Guide to RMTCM: Software for Travel Cost Analysis’, General Technical Report RM-132, United States Department of Agriculture: Forest Service, Rocky Mountain Forest and Range Experiment Station, Fort Collins, Colorado.

    Google Scholar 

  • Ryerson, R. A., ed. (1998), Manual of Remote Sensing. New York: John Wiley.

    Google Scholar 

  • Sanchirico, J. N. and J. E. Wilen (1998), ‘Bioeconomics of Spatial Exploration in a Patchy Environment’, Journal of Environmental Economics and Management 37, 129–150.

    Google Scholar 

  • Sedjo, R. A., J. Wisniewski, A. V. Sample and J. D. Kinsman (1995), ‘The Economics of Managing Carbon via Forestry: Assessment of Existing Studies’, Environmental and Resource Economics 6, 139–165.

    Google Scholar 

  • Smith, V. K. (1996), The Rise of Regional Relevance. Paper presented at Resources for the Future Seminar. Washington D.C.

  • Smith, V. K., C. Poulos and H. Kim (2001), ‘Treating Open Space as an Urban Amenity’, Resource and Energy Economics 515, 1–23.

    Google Scholar 

  • Turner, M. G., W. H. Romme, R. H. Gardner R. V. O’Neill and T. K. Kratz (1993), ‘A Revised Concept of Landscape: Equilibrium, Disturbance and Stability on Sealed Landscapes’, Landscape Ecology 8, 213–217.

    Google Scholar 

  • Waddell, P. and B. J. L. Berry (1993), ‘House Price Gradients — The Intersection of Space and Built Form’, Geographical Analysis 25, 117–141.

    Google Scholar 

  • Wadsworth, R. and J. Treweek (1999), Geographical Information Systems for Ecology: An Introduction. Harlow: Longman.

    Google Scholar 

  • Willis, K. G. and G. D. Garrod (1995), ‘The Benefits of Alleviating Low Flow Rivers’, Water Resources Development 11, 243–260.

    Google Scholar 

  • Worrell, R. and D. C. Malcolm (1990a), ‘Productivity of Sitka Spruce in Northern Britain: 1. The Effects of Elevation and Climate’, Forestry 63(2), 105–118.

    Google Scholar 

  • Worrell, R. and D. C. Malcolm (1990b), ‘Productivity of Sitka Spruce in Northern Britain: 2. Prediction from Site Factors’, Forestry 63(2), 119–128.

    Google Scholar 

  • Zeiler, M. (1999), Modelling our World: The ESRI Guide to Geodatabase Design. Redlands, California: ESRI Press.

    Google Scholar 

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Bateman, I., Jones, A., Lovett, A. et al. Applying Geographical Information Systems (GIS) to Environmental and Resource Economics. Environ Resource Econ 22, 219–269 (2002). https://doi.org/10.1023/A:1015575214292

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