Bibliographic References

This page presents some references that might help you understand SPRING main concepts.

A
  • Akaike, H. A New Look at Statistical Model Identification, IEEE Transactions on Automatic Control, 19 (6): 716-723, Dec. 1974.
  • ARONOFF, S. Geographic information systems: a Management Perspective. Canada, WDL Publications, 1989.

B

  • Burgess, T. M.; Webster, R. Optimal interpolation and isarithmic mapping of soil properties. I The semi-variogram and punctual Kriging. Journal of Soil Science, 31 (2): 315-331, 1980a.
  • Burgess, T. M.; Webster, R. Optimal interpolation and isarithmic mapping of soil properties. II Block Kriging. Journal of Soil Science, 31 (2): 333-341, 1980b.
  • Burgess, T. M.; Webster, R. Optimal interpolation and isarithmic mapping of soil properties. III Changing drift and universal kriging. Journal of Soil Science, 31(3): 505-524, 1980c.
  • Burrough, P. A. Principles of geographical information systems for land resources assessment. Oxford, Clarendon Press, 1987. 193p.
  • Burrough, P. A.; Varekamp C.; Skidmore, A.K. Using Public Domain Geostatistical and GIS Software for Spatial Interpolation. Photogrammetric Engineering & Remote Sensing, 62 (7): 845-854, 1996.

C

  • Câmara, G.; Freitas, U.; Souza, R.C.M., Casanova, M.A.; Hemerly, A. 1992a. "Data Modelling and the Development of a Spatial Database for the Brazilian Amazonia", in Proc. International Symposium on Photogrammetry and Remote Sensing, Washington, DC, August 1992.
  • Câmara, G.; Freitas, U.; Souza, R.C.M., Garrido, J. - SPRING: Integrating Remote Sensing and GIS by Object-Oriented Data Modelling. Computers and Graphics, vol. 15, n.6, July 1996.
  • Chou, Y-H. "Exploring spatial analysis in geographic information systems" Santa Fe, NM-USA, On Word Press, 1997, 474p.
  • Cress,. J.; Deiser, R. R. P. Development and implementation of a knowledge-based GIS geological engineering map production system. Photogrammetric Engineering & Remote Sensing: 56(11), November 1990, pp.1529 - 1535.

D

  • David, M. Geostatistical ore reserve estimation. New York, Elsevier Scientific, 1977. 364p.
  • De Loor, G.P. "Introduction and some general aspects of image formation in radar remote sensing". Remote Sensing Reviews, 1(1):3-18, June, 1983.
  • Delfiner, p.; Delhomme, j. p. Optimum interpolation by Kriging. In: Davis, J. C.; McCullagh, M. J. ed. Display and analysis of spatial data. New York, John Wiley, 1975. p. 96-114.
  • Dent, B. D. "Principles of thematic map design". Massachusetts, Addison Wesley Publishing Company, 1985. 398p.
  • Deutsch, C.V.; Journel, A. G. GSLIB: Geostatistical Software Library and user's guide. New York, Oxford University Press, 1992. 339p.
  • Douglas, D. H.; Peucker, T. K. [1973] Algorithms for the reduction of the number of points required to represent a digitized line or its caricature, The Canadian Cartographer, Vol. 10, No. 2.
  • Dueker, K. and Kjerne, D. 1987. "Application of the Object-Oriented Paradigm to Problems in Geographic Information Systems", in Proc. International GIS Symposium: the Research Agenda, Arligton, VA. 1987, volume II, pp. 79-88.

E

  • Earnshaw. at al. P. Q. "Scientific Visualization, Techniques and Application", Sprinyer-Verlag, 1992.
  • Egenhofer, M. and Frank, A. "Object-Oriented Modelling in GIS: Inheritance and Propagation", Proc. Ninth International Symposium on Computer-Assisted Cartography, Baltimore, MD, 1989, pp. 588-598.
  • Egenhofer, M.; Franzosa, R.D. - Point-Set Topological Spatial Relations. International Journal of Geographical Information Systems, 5 (2): 161-174, 1991.
  • Ehelers, M., Edwards, G., Berard, I. "Integration of Remote Sensing with Geographic Information Systems: A Necessary Evolution", Photogrammetry Engineering and Remote Sensing, Vol. 55, No. 11, Nov. 1989, pp. 1619-1627.
  • Elachi, C. "Spaceborne radar remote sensing: applications and techniques". New York, IEEE Pres, 1987. 255p.
  • Englund, E. J.; Sparks, A. Geo-EAS (Geostatistical Environmental Assessment Software ) Users's Guide. Las Vegas, U.S. Environmental Monitoring Systems Laboratory, 1988.

F

  • Fao"Principies d'imagerie radar". Roma, FAO/ESA, 1991, 80p.
  • Frank, A.; Mark,D. Language Issues for GIS. In: Maguire,D.; Goodchild, M.; Rhind,D. (eds) "Geographical Information Systems: Principles and Applications". New York, John Wiley and Sons, 1991, cap. 11, p. 147-163.
  • Frery, A.C.; San't Anna, S.J.S. "Non - adaptive robust filters for speckle noise reduction". In: Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 6., Recife, 1993. Anais do SIBGRAPI, 165 - 174.
  • Froidevaux, R. Geostatistical Toolbox Primer, version 1.30. Switzerland, FSS International, 1990.

G

  • Goodchild M., Gopal S. "Accuracy of Spatial Databases", Taylor e Francis, Santa Barbara, CA, 1994. 290p.
  • Goodchild, M. "A spatial analytical perspective on geographical information systems". International Journal of Geographical Information Systems, 1 (4): 327-334, 1987.
  • Goodchild, M. "Geographical data modeling. Computers & Geosciences". 1992, 18(4): 401-408, 1992b.
  • Goodchild, M.; Parks, B.; Steyart, L. "Environmental Modelling with GIS", Oxford, Oxford University Press, 1993.

H

  • Hernández, J.G.; Srivastava, R. ISIM3D: an ANSI-C three dimensional multiple indicator conditional simulation program. Computers & Geosciences, 16 (4): 395- 440, 1990.
  • Huijbregts, C. J. Regionalized variables and quantitative analysis of spatial data. In: Davis, J. C.; McCullagh, M. J. ed. Display and analysis of spatial data. New York, John Wiley, 1975. p. 38-53.

I

  • Isaaks, E. H.; Srivastava R. M. An Introduction to Applied Geostatistics. New York, Oxford University Press, 1989. 560p.

J

  • Journel, A.G. Fundamentals of geostatistics in five lessons. California, Stanford Center for Reservoir Forecasting Applied Earth Sciences Department, 1988.

K

  • Kemp, K. "Environmental Modelling with GIS: A Strategy for Dealing with Spatial Continuity". Ph.D. thesis, Department of Geography, University of Santa Barbara, 1993. NCGIA Technical Report 93-3.
  • Kitanidis, P. K.; Vomvoris, E. G. A geostatistical approach to the inverse problem in groundwater modelling (steady state) and one dimensional simulations. Water Resources Research, 19 (3): 677-690, 1983.
  • KONTOES, C.; WILKINSON, G. G.; BURRIL, A.; GOFREDO S. "An experimental system for the integration of GIS data in knowledge-based image analysis for remote sensing of agriculture". International Journal of Geographical Information Systems: 7(3): 247-262.
  • Krige, D.G. A statistical approach to some basic mine evaluation problems on the Witwatersrand. Johanesburg Chemistry Metallurgy Mining Society South African, 52 (6): 119-139, 1951.

L

  • Lajaunie, C. A geostatistical approach to air pollution modelling. In: Geostatistics for Natural Resources Characterization, ed. A. G. Journel e A. Marechal, 1984. p. 877-891.
  • Leberl, F.W. "Radargrammetric image processing". Norwood, MA, Artech House, 1990.
  • Li, Z.; Openshaw, S. [1992] Algorithms for automated line generalization based on a natural principle of objective generalization, International Journal of Geographical Information Systems, Vol. 6, No. 5.
  • Lichtenegger, J.; Dallemand, J.F. "Principles of radar imagery: lecture notes". Rome, FAO/ESA, 1989.
  • Lillesand, T.M.; Klefer, R.W. "Remote sensing and image interpretation". New York, John Wiley and Sans, 1994. 750p.

M

  • Maguire, D.; Goodchild, M.; Rhind, D. Geographical Information Systems: Principles and Applications. New York, John Wiley and Sons, 1991.
  • Maguire, D. An Overview and Definition of GIS. In: Maguire,D.; Goodchild, M.; Rhind, D. (eds) Geographical Information Systems: Principles and Applications. New York, John Wiley and Sons, 1991, pp. 9-20.
  • Maguire, D.; Dangerra, J. The Functionality of GIS. In: Maguire,D.; Goodchild, M.; Rhind, D. (eds) Geographical Information Systems: Principles and Applications. New York, John Wiley and Sons, 1991, pp. 319-35.
  • Matheron, G. Principles of geostatistics. Economic Geology, 58 (8): 1246-1266, Dec. 1963.
  • Matheron, G. The theory of regionalized variables and its applications. Paris, Les Cahiers du Centre de Morphologie Mathematique de Fontainebleu, 1971. 211p.
  • McBratney, A.B.; Webster, R. Choosing functions for semi-variograms of soil properties and fitting them to sampling estimates. Journal of Soil Science, 37 (4): 617-639, 1986.
  • McBratney, A.B.; Webster, R.; McLaren, R.G.; Spiers, R.B. Regional variation of extrable copper and cobalt in top soil of South-East Scotland. Agronomie, 2 (10): 969-982, 1982.
  • Moik, G.J. "Digital processing of remotely sensed images". NASA SP, 413, 330p. 1980.
  • Monmonier, M. "Mapping It Out: Expository Cartography for the Humanities and Social Sciences". - Instituto Nacional de Pesquisas Espaciais, São José dos Campos, SP, Brasil, 1993. 56 p.
  • Monmonier, M. Mapping It Out. Chicago, Chicago University Press, 1992.
  • Montgomery, E. G. Experiments in wheat breeding: experimental error in the nursery and variation in nitrogen and yield. Washington, U.S. Dept. Agric. Bur. Plant. Indust. Bul., 1913. 61p.
  • Morehouse, S. The ARC/INFO Geographical Information System. Computers & Geosciences, 18(4): 435-443, 1992.

N

  • NASA. "Synthetic aperture radar instrument panel for the Earth Observing System". Amherst, MA, 1987, 233p.

O

  • Olea, R. A. Measuring spatial dependence with semivariograms, Kansas, Kansas Geological Survey, 1977. 29p. (Series on Spatial Analysis 3).
  • Olea, R. A. Optimum mapping techniques using regionalized variable theory. Kansas, Kansas Geological Survey, 1975. 137p. (Series on Spatial Analysis, 2).
  • Olea, R. A.; Jian, X.; Yu, Y. Semivariogram modeling by weighted least squares. Computers & Geosciences, 22 (4): 387-397, 1996.
  • Oliver, M. A.; Webster, R. Kriging: a method of interpolation for geographical information systems. International Journal of Geographical Information System, 4 (3):313-332, 1990.
  • Openshaw, S. Developments in geographical information systems. Economic and Social Research Council, Newsletter, (63): 11-14, 1988.

P

  • Pequet, D.; Marble, D. Introductory Readings in Geographic Information Systems. Taylor & Francis, 1990.
  • Reichard, K. "The Linux - Internet Server", The Mis:Press - Slackware Series, New York, 1997, 530p.
  • Robinson, A. H. Elements of Cartography. New York, John Wiley, 1963, 343p.
  • Ruck, G.T.; Barrick, D.E.; Stuart, W.D.; Kirchbaum, C.K. "Radar cross section handbook". v.1 New York, Plenum Press, 1970.

S

  • Schwengerdt, R.A. "Techniques for image processing and classification in remote sensing". New York, Academic Press. 213p. 1983.
  • Skolnik, M.L. "Introduction to radar systems". 2.ed. New York, McGraw-Hill, 1980.
  • Smith, L.H. Plot arrangement for variety experiment with corn. Proc. American Society Agronomie, 5 (1): 84-89, 1910.
  • Srinivasan, A.; Richards, J. A. "Analysis of GIS spatial data using knowledge-based methods". International Journal of Geographical Information Systems. Vol 1. N.6. 1993. pp. 479-500.
  • Star, J.; Estes, J. Geographic Information Systems: An Introduction. New York, Prentice-Hall, 1990.
  • Suits, G.H. "The nature of electromagnetic radiation". In: Simonet, D.S. ed. Manual of remote sensing. 2. ed. Falls Church, Virginia, American Society of Photogrammetry, 1983, v.1, c.2, p.43 - 44.

T

  • Tomlin, D. Geographic information systems and Cartographic Modeling. Prentice Hall, New York, 1990.
  • Trevett, J.W. "Imaging radar for resources surveys". New York, NY, Chapman and Holl, 1986. 313p.

U

  • Ulaby, F. T.; Moore, R.K.; Funk, A.K. "Microwave remote sensing active and passive". Reading, M.A, Addison - Wesley, 1986. v.3.

W

  • Waynick, D.D.; Sharp, L.T. Variability in soils and its significance to past and future soil investigations. II. Variation in nitrogen and carbon in field soils and their relation to the accuracy of field trials. Agricultural Sciences, 4 (5): 121-139, 1919.