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S+SpatialStats

User’s Manual for Windows® and UNIX®

  • Book
  • © 1998

Overview

  • The only manual available for this S-PLUS software module * S-PLUS books continue to be fast-sellers as use of the software is rapidly growing *
  • First comprehensive, object-oriented package for the analysis of spatial data * Used to analyze data in environmental, mining, and petroleum engineering; natural resources; geography; epidemiology; demography
  • For both Windows and UNIX platforms
  • 1447 Accesses

  • 132 Citations

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About this book

S+SPATIALSTATS is the first comprehensive, object-oriented package for the analysis of spatial data. Providing a whole new set of analysis tools, S+SPATIALSTATS was created specifically for the exploration and modeling of spatially correlated data. It can be used to analyze data arising in areas such as environmental, mining, and petroleum engineering, natural resources, geography, epidemiology, demography, and others where data is sampled spatially. This users manual provides the documentation for the S+SPATIALSTATS module.

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Table of contents (7 chapters)

Reviews

 

From a review:

SHORT BOOK REVIEWS

"The book is well laid out, similar in style to a number of LaTex manuals, which I find aesthetically pleasing and easy to navigate. A concise introduction gives a good overview of the three types of spatial data and some associated spatial statistical concepts. ... I highly recommend this book."

Authors and Affiliations

  • Data Analysis Products Division, MathSoft, Inc., Seattle, USA

    Stephen P. Kaluzny, Silvia C. Vega, Tamre P. Cardoso, Alice A. Shelly

Accessibility Information

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Bibliographic Information

  • Book Title: S+SpatialStats

  • Book Subtitle: User’s Manual for Windows® and UNIX®

  • Authors: Stephen P. Kaluzny, Silvia C. Vega, Tamre P. Cardoso, Alice A. Shelly

  • DOI: https://doi.org/10.1007/978-1-4615-7826-0

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: MathSoft, Inc. 1998

  • Softcover ISBN: 978-0-387-91524-1Due: 30 July 1999

  • eBook ISBN: 978-1-4615-7826-0Published: 29 June 2013

  • Edition Number: 1

  • Number of Pages: XVI, 328

  • Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences

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