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The Centrographical Method and Regional Analysis

Bibliographic Data

ID4491336
AuthorsE E Sviatlovsky, Walter Crosby Eells
Year1937
Volume27
Issue2
Pages240
Publication date1937-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueGeographical Review (JOURNAL)
Journal identifiersISSN: 0016-7428 • E-ISSN: 1931-0846
PublisherJSTOR (PUBLISHER)
DOI10.2307/210093
OpenAlexW2316164345
LanguageEN
Citations received13

T HE development of a fully adequate theory of regional analysis by statistical means is one of the outstanding problems of geography today. The map alone is not enough, nor are statistical data alone. They must be brought together. This is the aim of centrography. To one who for the past fifteen years has devoted his chief attention to the methods of centrographical analysis the increasing interest in this field on the part of students of population is gratifying. Although computations and discussions concerned with centers of population and related points originated more than sixty years ago in the United States, during the past two decades many important developments in this and closely related fields have occurred in a dozen countries in Europe, Asia, and America. Increasingly frequent publication of articles in a variety of geographical and statistical journals in several languages has served to develop new methods, to correct various errors and misconceptions, and to clarify the interpretation of computed results. The terms centrography and centrogram, only recently suggested by the Mendeleev Centrographical Laboratory, relate to statistical analyses concerned with centers of population, median centers, median points, and related methods. Although such analyses originally were limited to studies dealing with human populations, they have been extended in more recent years to cover populations of farm animals, agricultural crops, manufactured goods, natural resources, and a variety of regional distributions of other social and economic factors. The term centrography expresses compactly the group of geographical studies in this field of two-dimensional statistical analysis and is worthy of the international acceptance that it seems rapidly to be winning, as may be gathered from the historical resume given in the appendix

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Unique citing works13
Citations per year0,17
Citation span1951 - 2023 (73)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 13

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