Colette Cauvin, Francisco Escobar, Aziz Serradj's Cartography and the Impact of the Quantitative Revolution, PDF

By Colette Cauvin, Francisco Escobar, Aziz Serradj

ISBN-10: 111855812X

ISBN-13: 9781118558126

ISBN-10: 1848211112

ISBN-13: 9781848211117

This sequence in 3 volumes considers maps as buildings as a result of a few successive differences and phases built-in in a logical reasoning and an order of selections. Volume 2 makes a speciality of the influence of the quantitative revolution, in part relating to the arrival of the pc age, on thematic cartography.

Chapter 1 From the outline to the Generalization of an characteristic Variable Z (pages 7–75):
Chapter 2 Generalization of Thematic Attributes (pages 77–148):
Chapter three Modeling Thematic Attributes: Generalizable Cartographic offerings (pages 149–214):
Chapter four Cartographic adjustments of place (pages 223–276):
Chapter five Taking a 3rd size under consideration, Transformation of reveal (pages 277–349):

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Extra info for Cartography and the Impact of the Quantitative Revolution, Volume 2

Sample text

It has brought about a revitalization of the attribute processing phase within the cartographic process. Chapter 1 From the Description to the Generalization of an Attribute Variable Z A thematic variable [Z] can be represented on a spatial support [XY] in various ways and with various visual results, depending on the processing to which the variable is exposed, especially if it is a quantitative variable. The cartographer may decide to generalize the map excessively and, for example, only distinguish the values of Z above and below the mean.

21. Relationship between the number of classes and the intra- and inter-class variances Suppose we want to find the values of a variable which correspond to the class limits associated with the normal distribution and with the probability p. We can use the normal distribution table (Appendix 1) and read from its sides the values associated with the probability p shown within the table. In the case of the population density in Luxembourg we know the probabilities and look for the corresponding values: we therefore start from the numbers within the table and find the boundary values on the table margins.

It is also possible to apply statistical formulas to find the median value, the quartiles, the quintiles, the deciles or the centiles to divide the data into two, four, five, ten or a hundred sets of equal frequency, respectively. This means that we are no longer interested in the values themselves, but only in their ranking in the ordered data set, in an increasing or a decreasing order. As mentioned above, this method accepts well-defined numbers of classes which have a statistical meaning related to dispersion.

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Cartography and the Impact of the Quantitative Revolution, Volume 2 by Colette Cauvin, Francisco Escobar, Aziz Serradj

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