Statistics in geography /
Material type:
TextLanguage: English Publication details: Oxford [Oxfordshire] ; New York, NY, USA : B. Blackwell, 1985.Edition: 2nd ed., rev. with 17 programsDescription: viii, 232 p. : ill. ; 25 cmISBN: - 0631136886
- 9780631136880
- 910.015 19 EBD
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General Books
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CUTN Central Library History & Geography | Non-fiction | 910.015 EBD (Browse shelf(Opens below)) | Available | 28426 | |
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General Books
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CUTN Central Library History & Geography | Non-fiction | 910.015 EBD (Browse shelf(Opens below)) | Available | 28427 | |
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General Books
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CUTN Central Library History & Geography | Non-fiction | 910.015 EBD (Browse shelf(Opens below)) | Available | 28428 |
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| 910.01 ADH Fundamentals of Geographical Thought | 910.01 BRI Demystifying theories in tourism research / | 910.01 LIH Tourism Theory : Concepts, Models and Systems / | 910.015 EBD Statistics in geography / | 910.015 EBD Statistics in geography / | 910.015 EBD Statistics in geography / | 910.015 ROG Statistical methods for geography / |
Statistics in Geography has established itself as the best introductory textbook on the subject: the author makes statistical concepts and techniques intellible and their applications in a wide variety of problems comprehensible, even exciting. The main feature of this much-awaited new edition is a set of 17 computer programs (with sample outputs) that cover nearly all the statistical techniques described. These have been carefully written to be user-friendly in an elementary subset of Basic to make them simple to implement on most micro computers. This means students can be more adventurous in their applications and interpretations of statistical techniques. The author has, at the same time, retained all the worked examples in the book so that the reader can gain insight into the logic of the methds by working through them by hand. These, together with problems of various levels of complexity plus comprehensive answers at the back of the book, provide the student with a clear and thorough understanding of both the methods and their potential applications.
Statistical concepts --
Description --
Samples and sampling --
Comparisons --
Relationships --
Trends --
Spatial statistics --
References.
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