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291. 
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75- 
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‚ion 
in 
acy 
ce, 
cal 
Information Systems for Land 
Assessment. Clarendon Press, Oxford, UK. 
Caruso, V.M., 1987. Standards for digital elevation 
models. ASPRS/ACSM Annual Convention, Vol 4:159- 
166 
Chrisman, N.R., 1982. A theory of cartographic 
error and its measurement in digital databases. 
Proceedings AutoCarto5 :159-168 
Chrisman, N.R., 1983. The role of quality 
information in the long-term functioning of a 
geographic information system. Cartographica 21 
:79-87 
Chrisman, N.R., 1991. The error component of 
spatial data, in Geographical Information Systems 
Principals and Applications (eds Maguire et al.), 
Longman, London, UK. Vol 1:165-174 
Congalton, R.G., 1990. Beware the black box. 
Proceedings GIS'90, Anaheim, USA., Vol 2:851-853 
Davis et al., 1991. Environmental analysis using 
integrated GIS and remote sensing data: some 
research needs and priorities. Photogrammetric 
Engineering & Remote Sensing 57:689-697 
Garvey, T.D., 1987.  Evidential reasoning for 
geographic evaluation for helicopter route 
planning. IEEE Transactions on Geoscience and 
Remote Sensing GE-25: 294-304 
Goodchild, M.F. & Gopal, S., 1989. The Accuracy of 
Spatial Databases. Taylor & Francis, London, UK. 
Heuvelink, G.B.M.; Burrough, P.A. & Stein, A., 
1979. Propagation of errors in spatial modelling 
with GIS. International Journal of Geographic 
Information Systems 3:303-322 
Kaufmann, A. & Gupta, M.M., 1985. Introduction to 
Fuzzy Arithmetic. Van Nostrand Reinhold, New 
York, USA. 
Lanter, D.P., 1990. Lineage in GIS: the problem and 
a solution. NCGIA Technical Paper 90-6, NCGIA, 
Santa Barbara, USA. 
Lanter, D.P. & Veregin, H., 1991. A lineage 
information program for exploring error 
propagation in GIS applications. Proceedings 15th 
International Cartographic Association 
Conference, Bournemouth, Vol 1:468-472 
Laurini, R. & Thompson, D., 1992. Fundamentals of 
Spatial Information Systems, Academic Press, 
London, UK 
Lee, T.; Richards, J.A. & Swain, P.H., 1987. 
Probabilistic and  evidential approaches for 
multisource data analysis. IEEE Transactions on 
Geoscience and Remote Sensing GE-25:283-292 
Leung, Y., 1988. Spatial Analysis and Planning 
Under  Imprecision. North-Holland, Amsterdam, 
Netherlands. 
MacDougall, E.B., 1975. The accuracy of map 
overlays. Landscape Planner 2:23-30 
Maguire, D.J.; Goodchild, M.F. & Rhind, D.W., 1991. 
Geographical Information Systems Principals and 
Applications. Longman, London, UK. 
Mead, D.A., 1982. Assessing data quality in 
geographic information systems, in Remote Sensing 
for Resource Management, Soil Conservation 
Society of America, Iowa :51-62 
Medyckyj-Scott, D., Newman, I., Ruggles, C. & 
Walker, D., 1991. Metadata in Geosiences. Group D 
Publications, Loughborough, U.K. 
Middelkoop, H., 1990. Uncertainty in GIS: a test of 
quantifying interpretation input. ITC Journal 
1990(3): 225-232 
Miller, R.G.; Karimi, H.A. & Feuchtwanger, M., 
1989. Uncertainty and its management in 
geographic information systems. Proceedings CISM 
National Conference on GIS, Ottawa :252-260 
Moellering, H., 1988. The proposed standard for 
digital cartographic data. The American 
Cartographer, 15:9-140 
Newcomer, J.A. & Szajgin, J., 1984. Accumulation of 
thematic map errors in digital overlay analysis. 
The American Cartographer 11:58-62 
Resources 
767 
Peucker, T.K., 1976. A theory of the cartographic 
line. International Yearbook of Cartography, 
16: 134-143 
Pullar, D., 1991. Spatial overlay with  inexact 
numerical data. Proceedings AutoCarto 10, 
Baltimore :313-329 
Rosenberg, D.J., & Martin, G. 1988. Human 
performance evaluation of digitizer pucks for 
computer input of spatial information. Human 
Factors, 30(2):231-235 
Shafer, G., 1976. A Mathematical Theory of 
Evidence. Princeton University Press, USA. 
Stoms, D.M., 1987. Reasoning with uncertainty in 
intelligent geographic information systems. 
Proceedings GIS 87, San Francisco, Vol. II:693- 
700 
Story, M. & Congalton, R.G., 1986. Accuracy 
assessment: a user’s perspective. Photogrammetric 
Engineering & Remote Sensing, 52:397-399 
Theobald, D.M., 1988. Accuracy and bias in surface 
representation. First Special Meeting on the 
Accuracy of Spatial Databases, NCGIA, Santa 
Barbara, USA. 
Tobler, W., 1990. GIS transformations. Proceedings 
GIS’90, Vol 1:163-166 
Veregin, H., 1989a. Accuracy of spatial databases: 
annotated bibliography. NCGIA Technical Paper 89- 
9, NCGIA, Santa Barbara, USA. 
Veregin, H., 1989b. A taxonomy of error in spatial 
databases. NCGIA Technical Paper 89-12, NCGIA, 
Santa Barbara, USA. 
Veregin, H., 1989c. Error modelling for the map 
overlay operation, in Accuracy of Spatial 
Databases (eds Goodchild & Gopal), Taylor & 
Francis, London, UK. :3-18 
Vitek, J.D.; Walsh, S.J. & Gregory, M.S., 1984. 
Accuracy in geographic information systems: an 
assessment of inherent and operational errors. 
Proceedings PECORA IX Symposium :296-302 
Walsh, S.J.; Lightfoot, D.R. & Butter, D.R., 1987. 
Recognition and assessment of error in geographic 
information systems. Photogrammetric Engineering 
& Remote Sensing 53:1423-1430 
Wang, F.; Hall, G.B. & Subaryono., 1990. Fuzzy 
information representation and processing in 
conventional GIS software, database design and 
implications. International Journal of Geographic 
Information Systems 4:261-283 
Zadeh, L.A., 1965. Fuzzy sets. Information & 
Control 8(3):338-53 
Zhang, G. & Tulip, J., 1990. An algorithm for the 
avoidance of sliver polygons in spatial overlay. 
4th International Symposium on Spatial Data 
Handling, Zurich, Vol 1:141-150