Calibrating pollen data in climatic terms: improving the methods

Auteurs :
HOWE, S.
WEBB, T. III

Description :
Multiple linear regression of modern climate and pollen data allows the development of statistical calibration functions that transform percentages of certain pollen types into quantitative estimates of climatic variables, and these functions, when applied to Holocene pollen data, yield estimates of climatic variables for past times. We outline the steps to be followed in calculating calibration functions. We used available computer programs for most of this study. In addition, we developed new software to compute the Moran statistic to test for spatial autocorrelation among the regression residuals, using the dual of the Voronoi diagram to describe the spatial relationships among the sites. In order to illustrate the sequence of procedures, we used data from the lower peninsula of Michigan to develop a calibration function for July mean temperature and then used Holocene pollen data from central lower Michigan to estimate past temperatures.


Type de document :
Article de périodique

Source :
Quaternary science reviews Oxford, 1983, vol. 2, n°. 1, p. 17-51, Références bibliographiques : 63 réf.

Date :
1983