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S+SpatialStats
Kaluzny, Stephen P.; Vega, Silvia C. (Seattle, Washington, Usa); Cardoso, Tamre P. (Seattle, Washington, Usa); Shelly, Alice A. (Seattle, Washington
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Description for S+SpatialStats
Paperback. Providing a whole set of spatial data analysis tools, this title explores and models spatially correlated data, and analyses data in such areas as environmental, mining, and petroleum engineering, natural resources, geography, epidemiology, demography, and others where data is sampled spatially. Num Pages: 328 pages, biography. BIC Classification: PBT; RGW; UFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 18. Weight in Grams: 1080.
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.
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.
Product Details
Format
Paperback
Publication date
1998
Publisher
Springer-Verlag New York Inc. United States
Number of pages
328
Condition
New
Number of Pages
328
Place of Publication
New York, NY, United States
ISBN
9780387982267
SKU
V9780387982267
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for S+SpatialStats
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 ... Read more