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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
David, M. (1986, May). Using Kriging To Map The Ocean Floor [Paper]. Offshore Technology Conference (OTC 1986), Houston, TX, USA. External link
Dumitriu, C., Webber, R., & David, M. (1979). Correspondence analysis applied to a comparison of some rhyolitic zones in the Noranda area (Quebec, Canada). Journal of the International Association for Mathematical Geology, 11(3), 299-307. External link
Davis, M. W., David, M., & Belisle, J.-M. (1978). A fast method for the solution of a system of simultaneous linear equations - A method adapted to a particular problem. Journal of the International Association for Mathematical Geology, 10(4), 369-374. External link
Davis, M. W. D., & David, M. (1978). The numerical calculation of integrals of an isotropic variogram function on hypercubes. Journal of the International Association for Mathematical Geology, 10(3), 311-314. External link
David, M. (1978). Sampling and estimation problems for three dimensional spatial stationary and non stationary stochastic processes as encountered in the mineral industry. Journal of Statistical Planning and Inference, 2(3), 211-244. External link
Davis, M. W. D., & David, M. (1978). Automatic Kriging and Contouring in the Presence of Trends (Universal Kriging Made Simple). Journal of Canadian Petroleum Technology, 17(01). External link
Dagbert, M., & David, M. (1977). Geostatistical mineral resources appraisal. Journal of the International Association for Mathematical Geology, 9(3), 313-317. External link
Dagbert, M., Pertsowsky, R., David, M., & Perrault, G. (1975). Agpaicity revisited: pattern recognition in the chemistry of nepheline syenite rocks. Geochimica et Cosmochimica Acta, 39(11), 1499-1504. External link
David, M., & Dagbert, M. (1975). Correspondence analysis in geology : the method and a review of several applications. (Technical Report n° EP-R-75-39). Restricted access
David, M. (1975). Geostatistical ore reserve estimation. (Technical Report n° EP-R-75-52). Restricted access
David, M., Campiglio, C., & Darling, R. S. (1974). Progresses in R– and Q–Mode Analysis: Correspondence Analysis and its Application to the Study of Geological Processes. Canadian Journal of Earth Sciences, 11(1), 131-146. External link
Marcotte, D., & David, M. (1988). Trend surface analysis as a special case of IRF-k kriging. Mathematical Geology, 20(7), 821-824. External link
Marcotte, D., & David, M. (1985). The Bi-Gaussian approach: A simple method for recovery estimation. Journal of the International Association for Mathematical Geology, 17(6), 625-644. External link
