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Classification in Climatology

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Spatial Statistics and Models

Part of the book series: Theory and Decision Library ((TDLU,volume 40))

Abstract

Few, if any, areas of geography rival climatology in terms of emphasis on classification. Indeed, it can be argued that far too much effort in climatology has been spent on classification exercises of questionable value (Hare, 1951; Wilcock, 1968). In 1969, Borgel listed 169 different climatic classifications that had appeared in the literature, but the general lack of Russian listings suggests that the number should have been substantially higher. Since that time, a variety of new climatic classifications of outstanding merit have been proposed. Examples include classifications based upon air mass frequencies (Oliver, 1970), satellite measurements of net radiation, vorticity, and atmospheric moisture (Barrett, 1970), energy balance terms (Terjung, 1970; Terjung and Louie, 1972), and daily insolation levels (Willmott and Vernon; 1980).

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Bibliography

  • Abler, R., J. S. Adams and P. Gould: 1971, Spatial Organization, Prentice-Hall, Inc., Englewood Cliffs, N. J.

    Google Scholar 

  • Amedeo, D. and R. G. Golledge: 1975, An Introduction to Scientific Reasoning in Geography, John Wiley, New York.

    Google Scholar 

  • Austin, M. L. and N. Yapp: 1978, ‘The defmition of rainfall regions of south-eastern Australia by numerical classification methods; Archiv für Meteorologie, Geophysik and Bioklimatologie, Ser. B. 26, 121–142.

    Google Scholar 

  • Ayoade, J. 0.: 1977, ‘On the use of multivariate techniques in climatic classification and regionalization’, Archiv für Meteorologie, Geophysik and Bioklimatologie, Ser. B. 24, 257–267.

    Google Scholar 

  • Balling, R. C., Jr.: 1980, ‘Classification and regionalization of climatic change’, Great Plains-Rocky Mountain Geographical Journal 9, 1–8.

    Google Scholar 

  • Balling, R. C., Jr. and M. P. Lawson: 1982, ‘Twentieth century changes in winter climatic regions’, Climatic Change 4, 57–69.

    Google Scholar 

  • Barrett, E. C.: 1970, ‘Rethinking climatology’, in C. Board, R. J. Chorley, P. Haggett, and D. R. Stoddart (eds.), Progress in Geography, Vol. II, Edward Arnold, London, pp. 154–205.

    Google Scholar 

  • Barry, R. G. and A. H. Perry: 1973, Synoptic Climatology, Methuen, London.

    Google Scholar 

  • Berry, B. J. L.: 1958, ‘A note concerning methods of classification’, Annals of the Association of American Geographers 48, 300–303.

    Google Scholar 

  • Berry, B. J. L.: 1961, ‘A method for deriving multi-factor uniform regions’, Przeglad Geograficzny 33, 263–278.

    Google Scholar 

  • Blasing, T. J.: 1975, ‘A comparison of map-pattern correlation and principal component eigenvector methods for analyzing climatic anomaly patterns’, Preprint Volume

    Google Scholar 

  • Fourth Conference on Probability and Statistics in Atmospheric Sciences. American Meteorological Society, Boston.

    Google Scholar 

  • Biasing, T. J.: 1981, ‘Characteristic anomaly patterns of summer sea-level pressure for the Northern Hemisphere’, Tellus 33, 428–437.

    Google Scholar 

  • Borgel, G. E.: 1969, ‘The nature and types of climatic classifications: an overview’, M. A. Thesis, Department of Geography, UCLA.

    Google Scholar 

  • Boyce, A. J.: 1969, ‘Mapping diversity: a comparative study of some numerical methods’, in A. J. Cole (ed.), Numerical Taxonomy, Academic Press, London, pp. 1–31.

    Google Scholar 

  • Brinkmann, W. A. R.: 1980, ‘Lake Superior area temperature variations’, Annals of the Association of American Geographers 70, 17–30.

    Google Scholar 

  • Bunge, W.: 1966, Theoretical Geography, C. W. K. Gleerup, Lund.

    Google Scholar 

  • Burt, C.: 1950, ‘The factorial analysis of qualitative data’, British Journal of Psychology, Statistical Section 3, 166–185.

    Google Scholar 

  • Candolle, A. de: 1874, Géographie botanique raisonnée,Genéve.

    Google Scholar 

  • Cattell, R. B.: 1944, ‘A note on correlation clusters and cluster search methods’, Psychometrika 9, 169–184.

    Google Scholar 

  • Cattell, R. B.: 1966, ‘The scree test for the number of factors’, Multivariate Behavioral Research 1, 245–276.

    Google Scholar 

  • Christensen, W. I., Jr., and R. A. Bryson: 1966, ‘An investigation of the potential of component analysis for weather classification’, Monthly Weather Review 94, 697–709.

    Google Scholar 

  • Clark, P. J.: 1956, ‘Grouping in spatial distributions’ Science 123, 373–374.

    Google Scholar 

  • Clifford, H. T. and W. Stephenson: 1975, An Introduction to Numerical Classification, Academic Press, New York.

    Google Scholar 

  • Cline, M. G.: 1949, ‘Basic principles of soil classification’, Soil Science 67, 1–13.

    Google Scholar 

  • Craddock, J. M.: 1973, ‘Problems and prospects for eigenvector analysis in meteorology’, The Statistician 22, 133–145.

    Google Scholar 

  • Critchfield, H. J.: 1960, General Climatology, Prentice-Hall, Englewood Cliffs, New Jersey.

    Google Scholar 

  • Crutcher, H. L. and R. L. Joiner: 1977, ‘Another look at the upper winds of the tropics’, Journal of Applied Meteorology 16, 462–476.

    Google Scholar 

  • Dyer, T. G. S.: 1975, ‘The assignment of rainfall stations into homogeneous groups: an application of principal components analysis’, Quarterly Journal of the Royal Meteorological Society 101, 1005–1013.

    Google Scholar 

  • Estabrook, G. F.: 1967, ‘A information theory model for character analysis’, Taxon 16, 86–97.

    Google Scholar 

  • Feinstein, A.: 1958, Foundations of Information Theory, McGraw-Hill Book Co., New York.

    Google Scholar 

  • Gittus, E.: 1964–5, ‘An experiment in the identification of urban sub-areas’, Transactions of the Bartlett Society 2, 109–135.

    Google Scholar 

  • Glasspoole, J.: 1922, ‘A comparison of the fluctuations of annual rainfall over the British Isles’, British Rainfall 62, 260–266.

    Google Scholar 

  • Godske, C. L.: 1959, ‘Information, climatology, and statistics’, Geografiska Annaler 61, 85–93.

    Google Scholar 

  • Goodall, D. W.: 1966, ‘Hypothesistesting in classification’, Nature 211, 329–330.

    Google Scholar 

  • Gower, J. C.: 1966, ‘Some distance properties of latent root and vector methods used in multivariate analysis’, Biometrika 53, 325–338.

    Google Scholar 

  • Gregory, S.: 1953, ‘A note on the classification of annual rainfall distribution types’, Quarterly Journal of the Royal Meteorological Society 79, 538–543.

    Google Scholar 

  • Gregory, S.: 1954, ‘Annual rainfall areas of southern England’, Quarterly Journal of the Royal Meteorological Society 80, 610–618.

    Google Scholar 

  • Gregory, S.: 1956, ‘Regional variations in the trend of annual rainfall over the British Isles’, Geographical Journal 122, 346–353.

    Google Scholar 

  • Gregory, S.: 1964, ‘Climate’, in J. W. Watson, and J. B. Sissons (eds.), The British Isles: A Systematic Geography, Nelson, London, pp. 53–73.

    Google Scholar 

  • Gregory, S.: 1965, Rainfall over Sierra Leone, Department of Geography, University of Liverpool Research Paper No. 2.

    Google Scholar 

  • Gregory, S.: 1975, ‘On the delimitation of regional patterns of recent climatic fluctuations’, Weather 30, 276–286.

    Google Scholar 

  • Grigg, D.: 1967, ‘Regions, models and classes’, in R. J. Chorley and P. Haggett (eds.), Models in Geography, Methuen, London, pp. 461–501.

    Google Scholar 

  • Grimmer, M.: 1963, ‘The space-filtering of monthly surface temperature anomaly data in terms of pattern, using empirical orthogonal functions’, Quarterly Journal of the Royal Meteorological Society 89, 395–408.

    Google Scholar 

  • Hare, F. K.: 1951, ‘Climatic classification’ in L. D. Stamp and S. W. Wooldridge (eds.), Essays in Geography, Longmans, London, pp. 111–134.

    Google Scholar 

  • Harvey, D. W.: 1969, Explanation in Geography, Arnold, London.

    Google Scholar 

  • Horel, J. D.: 1981, ‘A rotated principal component analysis of the interannual variability of the northern hemisphere 500 mb height field’, Monthly Weather Review 109, 2080–2092.

    Google Scholar 

  • Iakovleva, N. I. and K. A. Gurleva: 1969, ‘Objective division into regions by expansion in terms of empirical function’, Trudy Glavnoi Geofizicheskoi Observatorii 236, 155–164.

    Google Scholar 

  • Jackson, D. M.: 1969, ‘Comparison of classifications’, in A. J. Cole (ed.), Numerical Taxonomy, Academic Press, London, pp. 91–111.

    Google Scholar 

  • Jalickee, J. B. and D. R. Hamilton: 1977, ‘Objective analysis and classification of oceanographic data’, Tellus 29, 545–560.

    Google Scholar 

  • Jancey, R. C.: 1966, ‘Multidimensional group analysis’, Australian Journal of Botany 14, 127–130.

    Google Scholar 

  • Jardine, N. and R. Sibson: 1971, Numerical Taxonomy, John Wiley, London.

    Google Scholar 

  • Johnston, R. J.: 1968, ‘Choice of classification: the subjectivity of objective methods’, Annals of the Association of American Geographers 58, 575–589.

    Google Scholar 

  • Johnston, R. J.: 1970, ‘Grouping and regionalizing: Some methodological and technical observations’, Economic Geography 46, 293–305.

    Google Scholar 

  • Johnston, R. J.: 1978, Multivariate Statistical Analysis in Geography, Longman, London.

    Google Scholar 

  • Johnston, R. J.: 1981, ‘Regarding the delimitation of regions according to climatic fluctuations’, Archiv fier Meteorologie, Geophysik and Bioklimatologie, Ser. B. 29, 215 —228.

    Google Scholar 

  • Kendall, M. G. and A. Stuart, 1968: The Advanced Theory of Statistics, Vol. 3, Hafner Publishers, New York.

    Google Scholar 

  • King, L. G.: 1969, Statistical Analysis in Geography, Prentice-Hall, Englewood Cliffs, New Jersey.

    Google Scholar 

  • Kojima, C.: 1973, ‘Detailed climatic classification of Tohoku district by principal component analysis’, Journal of Agricultural Meteorology 29, 165–172.

    Google Scholar 

  • Köppen, W.: 1884, ‘Die Wärmezonen der Erde, nach der Dauer der heissen, Gemässigten und kalten Zeit und nach der Wirkung der Wärme auf die organische Welt betrachtet’, Meteorologische Zeitschrift 11, 215–226.

    Google Scholar 

  • Köppen, W. and R. Geiger: 1928, Klimakarte der Erde, Justus Perthes, Gotha.

    Google Scholar 

  • Kraus, E. G.: 1955, ‘Secular changes of east-coast rainfall regimes’, Quarterly Journal of the Royal Meteorological Society 81, 430–439.

    Google Scholar 

  • Kuipers, W. J. A.: 1970, ‘An experiment on numerical classification of scalar fields’, Idojaras 74, 296–306.

    Google Scholar 

  • Kutzbach, J. E.: 1967, ‘Empirical eigenvectors of sea-level pressure, surface temperature and precipitation complexes over North America’, Journal of Applied Meteorology 6, 791–802.

    Google Scholar 

  • Lance, G. N. and W. T. Williams: 1967a, ‘A general theory of classificatory sorting strategies, I.: hierarchical systems’, Computer Journal 2, 373–380.

    Google Scholar 

  • Lance, G. N. and W. T. Williams: 1967b, ‘A general theory of classificatory sorting strategies, II: clustering systems’, Computer Journal 10, 271–277.

    Google Scholar 

  • Lankford, P. M.: 1969, ‘Regionalization theory and alternative algorithms’, Geographical Analysis 1, 196–212.

    Google Scholar 

  • Lankford, P. M. and R. K. Semple: 1973, ‘Classification and geography’, Geographia Polonica 25, 7–30.

    Google Scholar 

  • Lawson, M. P.: 1976, The Climate of the Great American Desert, University of Nebraska Press, Lincoln.

    Google Scholar 

  • Lawson, M. P., R. C. Balling, Jr., A. J. Peters and D. C. Rundquist: 1981, ‘Spatial analysis of secular temperature fluctuations’, Journal of Climatology 1, 325–332.

    Google Scholar 

  • Lawson, M. P., D. C. Rundquist, and A. J. Peters: 1972, ‘Secular temperature change in the interior United States’, Great Plains-Rocky Mountain Geographical Journal 1, 65–73.

    Google Scholar 

  • Lund, I. A.: 1963, ‘Map pattern classification by statistical methods’, Journal of Applied Meteorology 2, 56–65.

    Google Scholar 

  • MacNaughton-Smith, P., W. T. Williams, M. B. Dale, and L. G, Mockett: 1964, ‘Dissimilarity analysis: a new technique of hierarchical subdivision’, Nature 202, 1034–1035.

    Google Scholar 

  • Mahalanobis, P. C.: 1936, ‘On the generalized distance in statistics’, Proceedings of the National Institute of Sciences of India 12, 49–55.

    Google Scholar 

  • Mather, P. M.: 1976, Computational Methods of Multivariate Analysis in Physical Geography, John Wiley, London.

    Google Scholar 

  • McBoyle, G. R.: 1971, ‘Climatic classification of Australia by computer’, Australian Geographical Studies 9, 1–14.

    Google Scholar 

  • McBoyle, G. R.: 1972, ‘Factor analytical approach to a climatic classification of Europe’, Climatological Bulletin No. 12, McGill University, Montreal, pp. 273–341.

    Google Scholar 

  • McDonald, J. R.: 1966, ‘The region: its conception, design and limitations’, Annals of the Association of American Geographers 55, 516–528.

    Google Scholar 

  • McQuitty, L. L.: 1957, ‘Elementary linkage analysis for isolating orthogonal and oblique types and typal relevancies’, Educational and Psychological Measurement 17, 207229.

    Google Scholar 

  • McQuitty, L. L.: 1960, ‘Hierarchical syndrome analysis’, Educational and Psychological Measurement 20, 293–304.

    Google Scholar 

  • McQuitty, L. L.: 1961, ‘Elementary factor analysis’, Psychological Reports 9, 71–78.

    Google Scholar 

  • McQuitty, L. L.: 1966, ‘Single and multiple classification by reciprocal pairs and rank order types’, Educational and Psychological Measurement 26, 253–265.

    Google Scholar 

  • Miller, R. G.: 1962, Statistical prediction by discriminant analysis. Meteorological

    Google Scholar 

  • Monographs, American Meteorological Society, 54 pp.

    Google Scholar 

  • Miller, R. L. and S. S. Kahn: 1962, Statistical Analysis in the Geological Sciences, John Wiley, New York.

    Google Scholar 

  • Morrison, D. F.: 1976, Multivariate Statistical Methods, McGraw Hill, New York. National Climate Program Advisory Committee: 1980, National Climate Program Five Year Plan. NOAA, Washington.

    Google Scholar 

  • Ogallo, L.; 1980, ‘Regional classification of East African rainfall stations into homogeneous groups using the method of principal components analysis’, in S. Ikeda (ed.), Statistical Climatology, Elsevier Scientific Publishing Company, Amsterdam, pp. 255–266.

    Google Scholar 

  • Oliver, J. E.: 1970, ‘A genetic approach to climate classification’, Annals of the Association of American Geographers 60, 615–637.

    Google Scholar 

  • Oliver, J. E., A. H. Siddigi, and S. N. Goward: 1978, ‘Spatial patterns of climate and irrigation in Pakistan: a multivariate statistical approach’, Archiv für Meteorologie, Geophysik and Bioklimatologie, Ser. B 25, 345–357.

    Google Scholar 

  • Olson, E. C. and R. L. Miller: 1958, Morphological Integration, University of Chicago Press, Chicago.

    Google Scholar 

  • Perry, A. H.: 1968, ‘The regional variation of climatological characteristics with synoptic indices’, Weather 23, 325–330.

    Google Scholar 

  • Perry, A. H.: 1969, ‘Sensible and latent heat transfer over the North Atlantic during some recent winter months’, Annalen der Meteorologie, new series 4, 40–46.

    Google Scholar 

  • Preston-Whyte, R. A.: 1974, ‘Climatic classification of South Africa: a multivariate approach’, South African Geographical Journal 65, 79–86.

    Google Scholar 

  • Rajski, C.: 1961, ‘Entropy and metric space’, in Cherry C. (ed.), Information Theory, Butterworths, London, pp. 41–45.

    Google Scholar 

  • Rao, C. R.: 1952, Advanced Statistical Methods in Biometric Research, Chapman and Hall, London.

    Google Scholar 

  • Richman, M. B.: 1981, ‘Obliquely rotated principal components: an improved meteorological map typing technique?’, Journal of Applied Meteorology 20, 1145–1159.

    Google Scholar 

  • Rummel, R. J.: 1970, Applied Factor Analysis, Northwestern University Press, Evanston.

    Google Scholar 

  • Russell, J. S. and A. W. Moore: 1970, ‘Detection of homoclimate by numerical analysis with reference to the Bigalow region (eastern Australia)’, Agricultural Meteorology 7, 455–479.

    Google Scholar 

  • Russell, J. S. and A. W. Moore: 1976, ‘Classification of climate by pattern analysis with Australasian and Southern Africa data as an example’, Agricultural Meteorology 16, 45–70.

    Google Scholar 

  • Sekiguti, T.: 1952, ‘Some problems of climatic classification: a new classification of climates of Japan’, Proceedings of the Eighth General Assembly and Seventeenth International Congress, International Geographical Union (Washington), 285–290.

    Google Scholar 

  • Semple, R. K., E. Casetti, and L. J. King: 1969, ‘The determination of the optimal number of groupings in classification problems’, Discussion Paper No. 10, Department of Geography, Ohio State University, 63 pp.

    Google Scholar 

  • Semple, R. K. and M. B. Green: 1984, ‘Classification in human geography’, in Gaile, G. L. and C. J. Willmott (eds.), Spatial Statistics and Models, pp. 55–79.

    Google Scholar 

  • Skaggs, R. H.: 1975, ‘Drought in the United States, 1931–40’, Annals of the Association of American Geographers 65, 391–402.

    Google Scholar 

  • Sneath, P. H. A.: 1969, ‘Evaluation of clustering methods’, in A. J. Cole (ed.), Numerical Taxonomy, Academic Press, London, pp. 257–267.

    Google Scholar 

  • Sneath, P. H. A. and R. R. Sokal: 1973, Numerical Taxonomy, Freeman, San Francisco. Sokal, R. R.: 1966, ‘Numerical taxonomy’, Scientific American 215, 106–116.

    Google Scholar 

  • Sokal, R. R. 1974, ‘Classification purposes, principles, progress, prospects’, Science 185, 1115–1123.

    Google Scholar 

  • Sokal, R. R. and F. J. Rohlf: 1962, ‘The comparison of dendrograms by objective methods’, Taxon 11, 33–40.

    Google Scholar 

  • Sokal, R. R. and P. H. A. Sneath: 1963, Principles of Numerical Taxonomy, W. H. Freeman and Company, San Francisco.

    Google Scholar 

  • Spence, N. A.: 1968, ‘A multifactor uniform regionalization of British counties on the basis of employment data for 1961’, Regional Studies 2, 87–104.

    Google Scholar 

  • Spence, N. A. and P. J. Taylor: 1970, ‘Quantitative methods in regional taxonomy’, in Board C., R. J. Chorley, P. Haggett, and D. R. Stoddart (eds.), Progress in Geography, Vol. 2, Edward Arnold Ltd., London, pp. 3–64.

    Google Scholar 

  • Steiner, D.: 1965, ‘A multivariate statistical approach to climatic regionalization and classification’, Tijdschrift van het Koninklijk Nederlandsch Aardrijkskundig Genootschap 82, 329–347.

    Google Scholar 

  • Stidd, C. K.: 1967, ‘The use of eigenvectors for climatic estimates’, Journal of Applied Meteorology 6, 255–264.

    Google Scholar 

  • Supan, A.: 1879, ‘Die Temperaturzonen der Erde’, Petermann’s Mittheilungen (sic), 349–358.

    Google Scholar 

  • Terjung, W. H.: 1970, ‘Toward a climatic classification based on net radiation’, Association of American Geographers, Proceedings 2, 140–144.

    Google Scholar 

  • Terjung, W. H. and S. S-F. Louie: 1972, ‘Energy input-output climates of the world: a preliminary attempt’, Archiv flit Meteorologie, Geophysik and Bioklimatologie, Ser. B 20, 129–166.

    Google Scholar 

  • Thornthwaite, C. W.: 1948, ‘An approach toward a rational classification of climate’, Geographical Review 38, 55–94.

    Google Scholar 

  • Walsh, J. E. and M. B. Richman: 1981, ‘Seasonality in the associations between surface temperatures over the United States and the North Pacific Ocean’, Monthly Weather Review 109, 767–783.

    Google Scholar 

  • Ward, J. H. Jr.: 1963, ‘Hierarchical grouping to optimize an objective function’, Journal of the American Statistical Association 58, 236–244.

    Google Scholar 

  • Wilcock, A. A.: 1968, ‘Köppen after fifty years’, Annals of the Association of American Geographers 58, 12–28.

    Google Scholar 

  • Williams, W. T. and M. B. Dale: 1965, ‘Fundamental problems in numerical taxonomy’, Advances in Botanical Research 2, 35–68.

    Google Scholar 

  • Williams, W. T. and G. N. Lance: 1965, ‘Logic of computer-based intrinsic classifications’, Nature 207, 159–161.

    Google Scholar 

  • Willmott, C. J., 1977a: ‘A component analytic approach to precipitation regionalization in California’, Archiv für Meteorologie, Geophysik and Bioklimatologie, Ser. B 24, 269–281.

    Google Scholar 

  • Willmott, C. J.: 1977b, ‘Toward a new climatic regionalization of the contiguous United States’, Proceedings of the Second National Solar Radiation Data Workship, Huntsville

    Google Scholar 

  • Alabama. Johnson Environmental and Energy Center, University of Alabama, D1 — D-11.

    Google Scholar 

  • Willmott, C. J.: 1978, ‘P-mode principal components analysis, grouping and precipitation regions in California’, Archiv für Meteorologie, Geophysik and Bioklimatologie, Ser. B. 26, 277–295.

    Google Scholar 

  • Willmott, C. J. and M. T. Vernon: 1980, ‘Solar Climates of the conterminous United States: a preliminary investigation’, Solar Energy 24, 295–303.

    Google Scholar 

  • Wishart, D.: 1969, ‘Mode analysis: a generalization of nearest neighbor which reduces chaining effects’, in A. J. Cole (ed.), Numerical Taxonomy, Academic Press, London, pp. 282–308.

    Google Scholar 

  • Wishart D.: 1975, CLUSTAN IC: User Manual. University College Computer Center, London.

    Google Scholar 

  • Wolfe, J. H.: 1970, ‘Pattern clustering by multivariate analysis’, Multivariate Behavioral Research 5, 329–350.

    Google Scholar 

  • Zobler, L.: 1957, ‘Statistical testing of regional boundaries’, Annals of the Association of American Geographers 47, 83–95.

    Google Scholar 

  • Zobler, L.: 1958, ‘Decision making in regional construction’, Annals of the Association of American Geographers 48, 140–148.

    Google Scholar 

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Balling, R.C. (1984). Classification in Climatology. In: Gaile, G.L., Willmott, C.J. (eds) Spatial Statistics and Models. Theory and Decision Library, vol 40. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3048-8_5

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