Book Description
Are there geographic clusters of disease cases, or hotspots of crime? Can the geography of air quality be matched to where people hospitalized for respiratory complaints actually live? Spatial data is data about the world where the attribute of interest and its location on the earth's surface are recorded. This comprehensive overview of the subject shows how the above questions can be tackled. It is written for students and researchers in geography, economics, social science, the environmental sciences and statistics.
Book Description
The complete guide to adjusting for measurement error--expanded and updated
No measurement is ever exact. Adjustment Computations updates a classic, definitive text on surveying with the latest methodologies and tools for analyzing and adjusting errors with a focus on least squares adjustments, the most rigorous methodology available and the one on which accuracy standards for surveys are based.
Extensively updated, this Fourth Edition covers basic terms and fundamentals of errors and methods of analyzing them and progresses to specific adjustment computations and spatial information analysis. Each chapter includes practical examples, illustrations, and sample practice problems. Current and comprehensive, the book features:
* Easy-to-understand language and an emphasis on real-world applications
* Extensive coverage of the treatment of GPS-acquired data
* New chapters on analyzing data in three dimensions, confidence intervals, statistical testing, and more
* Extensively updated STATS, ADJUST, and MATRIX software packages
* A new companion CD & web site with a 150-page solutions manual, software, MathCAD worksheets, and view graphs
* The latest information on advanced topics such as blunder detection and the method of general least squares
Adjustment Computations, Fourth Edition is an invaluable reference and self-study resource for working surveyors, photogrammetrists, and professionals who use GPS and GIS for data collection and analysis, including oceanographers, urban planners, foresters, geographers, and transportation planners. It's also an indispensable resource for students preparing for licensing exams and the ideal textbook for courses in surveying, civil engineering, forestry, cartography, and geology.
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Statistical Analysis of Geological Data (Dover Phoenix Editions)
George S., Jr. Koch , and
Richard F. Link
Manufacturer: Dover Publications
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Binding: Hardcover
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ASIN: 0486495124 |
Book Description
Extensive discussions cover the distribution, sampling, inference, analysis of variances; transformations of univariate statistical methods; analyses of geological trends and multivariate data; ratios and variables of constant sum; exploration for natural resources; and evaluation of computers and geology. No previous knowledge of statistics necessary.
Book Description
Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. This book starts from theoretical foundations including functional nonparametric modeling, description of the mathematical framework, construction of the statistical methods, and statements of their asymptotic behaviors. It proceeds to computational issues including R and S-PLUS routines. Several functional datasets in chemometrics, econometrics, and pattern recognition are used to emphasize the wide scope of nonparametric functional data analysis in applied sciences. The companion Web site includes R and S-PLUS routines, command lines for reproducing examples presented in the book, and the functional datasets.
Rather than set application against theory, this book is really an interface of these two features of statistics. A special effort has been made in writing this book to accommodate several levels of reading. The computational aspects are oriented toward practitioners whereas open problems emerging from this new field of statistics will attract Ph.D. students and academic researchers. Finally, this book is also accessible to graduate students starting in the area of functional statistics.
Book Description
Thoroughly revised and updated, this new edition of the text that helped define the field continues to present important methods in the quantitative analysis of geologic data, while showing students how statistics and computing can be applied to commonly encountered problems in the earth sciences.
In addition to new and expanded coverage of key topics, the Third Edition features new pedagogy, end-of-chapter review exercises, and an accompanying website that contains all of the data for every example and exercise found in the book.
Customer Reviews:
Excellent Discussion of Multivariate Statistics.......2000-06-09
This textbook is a pleasant surprise. It is an excellent introduction to multivariate analysis, much better than I have encountered elsewhere. As the title indicates, the examples are geological such as analysis of spatial distribution of geological features, geochemical analysis, sediment transportation problems, paleontological sampling issues, stratigraphic sequence comparisons, fluvial pattern analysis, etc.
Davis provides a chapter on matrix algebra, emphasizing the mathematical operations that underlie trend surface analysis, principal components, and discriminant functions. I found his geometric approach to eigenvalues and eigenvectors to be more intuitive than traditional algebraic approaches found in most linear algebra texts. I also like the discussion on determinants. I suspect that a reader unfamiliar with matrices and linear algebra might find this introduction to be too concise and a bit overwhelming. But as a review, the chapter was really quite good.
More than 350 pages are devoted to the final three chapters - Analysis of Sequence Maps, Map Analysis, and Analysis of Multivariate Data. These three chapters provide an exceptional discussion of advanced statistical techniques. The mathematics are well explained and the techniques are described in detail, including pitfalls in the mis-application of the various statistical methods.
My copy (14th printing, first edition) includes a section on Fortran IV programming and scatters some Fortran examples across various chapters. While this feature somewhat dates the text, it is at most a distraction and can easily be skipped without any loss of understanding of the statistical methods. The Fortran sections may not have been retained in the second edition (1986). This newer edition apparently provides updated coverage on probability, non-parametric statistics, and Fourier analysis and adds coverage of kriging methods.
In recent years more books on geostatistics have appeared and some are quite good. However, I have noted that the Davis text is invariably included on a short reading list for graduate geostatistics courses. My only concern is that this text has become increasingly difficult to locate. I give it five stars.
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Teach/Me - Data Analysis
Hans Lohninger , and
H. Lohninger
Manufacturer: Springer
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Binding: Paperback
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ASIN: 3540147438 |
Book Description
Teach/Me - Data Analysis is an innovative multimedia teaching and learning tool on the analysis of complex data in science and engineering. The CD-ROM is accompanied by an introductory booklet and is intended to be used by students (graduate, undergraduate, advanced) and lecturers. The teachware includes a full and hyper-linked textbook on data analysis. Additional highlights of Teach/Me are: open architecture (user may add his/her own contents); interactive examples; self-adapting courses; course and exam designer for lecturers; protection of resources by encryption; a powerful full-text indexing machine; data laboratory with sample data sets and import function for hands-on experience. 25 animations and about 30 fully interactive appletts facilitate a "learning by doing" approach. The playing with parameters helps one to understand concepts.
Book Description
Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. As something relevant is detected in data, new questions arise, causing specific parts to be viewed in more detail. So EDA has a significant appeal: it involves hypothesis generation rather than mere hypothesis testing.
The authors describe in detail and systemize approaches, techniques, and methods for exploring spatial and temporal data in particular. They start by developing a general view of data structures and characteristics and then build on top of this a general task typology, distinguishing between elementary and synoptic tasks. This typology is then applied to the description of existing approaches and technologies, resulting not just in recommendations for choosing methods but in a set of generic procedures for data exploration.
Professionals practicing analysis will profit from tested solutions – illustrated in many examples – for reuse in the catalogue of techniques presented. Students and researchers will appreciate the detailed description and classification of exploration techniques, which are not limited to spatial data only. In addition, the general principles and approaches described will be useful for designers of new methods for EDA.
Customer Reviews:
This is one of the best book I ever read on data analysis.......2006-06-15
Andrienkos' take a functional view of data and based on two components of data build a functional taxonomy of data analysis tasks. The authors have done a excellent job and provided lot of examples to support their arguments. The book is worth buying. Though I don't own one (My advisor is very generous to lend his copy), I definitely would like to buy one.
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S+SpatialStats: User's Manual for Windows and UNIX
Stephen P. Kaluzny ,
Silvia C. Vega ,
Tamre P. Cardoso , and
Alice Shelly
Manufacturer: Springer
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ASIN: 0387982264 |
Book Description
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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A Casebook for Spatial Statistical Data Analysis: A Compilation of Analyses of Different Thematic Data Sets (Spatial Information Systems)
Daniel A. Griffith , and
Larry J. Layne
Manufacturer: Oxford University Press, USA
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Statistical Methods for Spatial Data Analysis (Texts in Statistical Science Series)
ASIN: 0195109589 |
Book Description
This volume compiles geostatistical and spatial autoregressive data analyses involving georeferenced socioeconomic, natural resources, agricultural, pollution, and epidemiological variables. Benchmark analyses are followed by analyses of readily available data sets, emphasizing parallels between geostatistical and spatial autoregressive findings. Both SAS and SPSS code are presented for implementation purposes. This informative casebook will serve geographers, regional scientists, applied spatial statisticians, and spatial scientists from across disciplines.
Average customer rating:
- Geologist friendly but sound
|
Statistics and Data Analysis in Geology
J.C. Davis , and
Robert J. Sampson
Manufacturer: John Wiley & Sons Inc
ProductGroup: Book
Binding: Hardcover
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ASIN: 0471198951 |
Customer Reviews:
Geologist friendly but sound.......2003-12-04
Davis has collated most of the statistical tools that a professional (or academic) geologist is likely to ever need. The book is very well and clearly written, has a high text-to-equation ratio (critical for that large subset of geologists who are marginal numerophobics) and is properly illustrated. Now having said this, this book is certainly not a lightweight read for the average geo, and requires concentration - especially for more advanced topics like multivariate analysis, and time series. Being a geostatistician, I am pleased that Davis presents kriging (albeit briefly and mainly in the context of contouring) without misleading the reader - not always the case with such books! I own the 1st and 2nd (dogeared) Editions, and have widely recommended them to mining and expoloration geologists who want a single volume on statistics that utilises geological examples (most not related to economic geology, but that's not a big issue: we all remember trilobites don't we?). The book includes a useful primer on matrices and is highly recommended. If I have a minor critisism it is that some of the EDA methods (box plots, stem and leaf etc.) that are very useful for geologists are not covered.
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