Statistical Analysis of Geographical Data

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1118525140
Total Pages : 264 pages
Book Rating : 4.42/5 ( download)

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Book Synopsis Statistical Analysis of Geographical Data by : Simon James Dadson

Download or read book Statistical Analysis of Geographical Data written by Simon James Dadson and published by John Wiley & Sons. This book was released on 2017-03-08 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics Analysis of Geographical Data: An Introduction provides a comprehensive and accessible introduction to the theory and practice of statistical analysis in geography. It covers a wide range of topics including graphical and numerical description of datasets, probability, calculation of confidence intervals, hypothesis testing, collection and analysis of data using analysis of variance and linear regression. Taking a clear and logical approach, this book examines real problems with real data from the geographical literature in order to illustrate the important role that statistics play in geographical investigations. Presented in a clear and accessible manner the book includes recent, relevant examples, designed to enhance the reader’s understanding.

Statistical Analysis of Geographical Data

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 0470977035
Total Pages : 264 pages
Book Rating : 4.33/5 ( download)

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Book Synopsis Statistical Analysis of Geographical Data by : Simon James Dadson

Download or read book Statistical Analysis of Geographical Data written by Simon James Dadson and published by John Wiley & Sons. This book was released on 2017-05-08 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics Analysis of Geographical Data: An Introduction provides a comprehensive and accessible introduction to the theory and practice of statistical analysis in geography. It covers a wide range of topics including graphical and numerical description of datasets, probability, calculation of confidence intervals, hypothesis testing, collection and analysis of data using analysis of variance and linear regression. Taking a clear and logical approach, this book examines real problems with real data from the geographical literature in order to illustrate the important role that statistics play in geographical investigations. Presented in a clear and accessible manner the book includes recent, relevant examples, designed to enhance the reader’s understanding.

Geographical Data Analysis

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Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 472 pages
Book Rating : 4.73/5 ( download)

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Book Synopsis Geographical Data Analysis by : Nigel Walford

Download or read book Geographical Data Analysis written by Nigel Walford and published by John Wiley & Sons. This book was released on 1995-07-05 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is increasingly important for the earth science student to appreciate that the acquisition of skills in statistics and computerised data analysis is as much part of modern geography as work in the field, laboratory or library. In this respect, Geographical Data Analysis aims to link the use of statistical techniques by means of computer software, to the acquisition of geographical-knowledge and the scientific method of enquiry. The book has three objectives: to explain basic statistical techniques and demonstrate their application to quantitative geography; to equip students with the knowledge and skills necessary for carrying out research projects; and to make the link between statistical analysis and the substantive topics taught as part of a geography course. An important innovative feature of the book is its project-orientated approach, which utilises exemplar projects drawn from human and physical geography. Each exemplar project shows the progress from the conception of the initial research through to the formulation of tentative hypotheses and the subsequent statistical analysis. The projects exemplify both primary and secondary methods for collecting geographical data, with the computer-based application of a wide range of statistical techniques. Thus, these projects allow discussion of sample design, data collection and computerisation, and a selection of appropriate statistical techniques. As such, Geographical Data Analysis integrates quantitative and geographical methodologies and provides a thorough understanding of basic statistical techniques for the undergraduate geography student; it will be of use from first year through to final degree dissertations.

Geographical Data Science and Spatial Data Analysis

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Publisher : SAGE
ISBN 13 : 1526485435
Total Pages : 460 pages
Book Rating : 4.34/5 ( download)

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Book Synopsis Geographical Data Science and Spatial Data Analysis by : Lex Comber

Download or read book Geographical Data Science and Spatial Data Analysis written by Lex Comber and published by SAGE. This book was released on 2020-12-02 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges. Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a ‘learning by doing’ textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.

Statistical Methods for Geography

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Publisher : SAGE
ISBN 13 : 152970023X
Total Pages : 433 pages
Book Rating : 4.37/5 ( download)

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Book Synopsis Statistical Methods for Geography by : Peter A. Rogerson

Download or read book Statistical Methods for Geography written by Peter A. Rogerson and published by SAGE. This book was released on 2019-12-04 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key statistical concepts and techniques. Now in its fifth edition, this text is an accessible statistics ‘101’ focused on student learning, and includes definitions, examples, and exercises throughout. Fully integrated with online self-assessment exercises and video overviews, it explains everything required to get full credits for any undergraduate statistics module. The fifth edition of this bestselling text includes: · Coverage of descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis. · New examples from physical geography and additional real-world examples. · Updated in-text and online exercises along with downloadable datasets. This is the only text you’ll need for undergraduate courses in statistical analysis, statistical methods, and quantitative geography.

Applied Spatial Data Analysis with R

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Publisher : Springer Science & Business Media
ISBN 13 : 1461476186
Total Pages : 414 pages
Book Rating : 4.84/5 ( download)

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Book Synopsis Applied Spatial Data Analysis with R by : Roger S. Bivand

Download or read book Applied Spatial Data Analysis with R written by Roger S. Bivand and published by Springer Science & Business Media. This book was released on 2013-06-21 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.

Methods of Statistical Analysis of Fieldwork Data

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Publisher :
ISBN 13 : 9780948512230
Total Pages : 56 pages
Book Rating : 4.37/5 ( download)

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Book Synopsis Methods of Statistical Analysis of Fieldwork Data by : P. R. St. John

Download or read book Methods of Statistical Analysis of Fieldwork Data written by P. R. St. John and published by . This book was released on 1990-01-01 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Spatial Analysis Methods and Practice

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Publisher : Cambridge University Press
ISBN 13 : 1108498981
Total Pages : 535 pages
Book Rating : 4.82/5 ( download)

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Book Synopsis Spatial Analysis Methods and Practice by : George Grekousis

Download or read book Spatial Analysis Methods and Practice written by George Grekousis and published by Cambridge University Press. This book was released on 2020-06-11 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.

Statistical Analysis with ArcView GIS

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Publisher : John Wiley & Sons
ISBN 13 : 047143776X
Total Pages : 205 pages
Book Rating : 4.65/5 ( download)

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Book Synopsis Statistical Analysis with ArcView GIS by : Jay Lee

Download or read book Statistical Analysis with ArcView GIS written by Jay Lee and published by John Wiley & Sons. This book was released on 2001-05-16 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical analysis of geographic data has been greatly enhanced in recent years with the advent of Geographical Information Systems (GIS) software. Yet GIS users have struggles to synchronize their applications of spatial information with practical, quantitative statistics. ArcView, one of the most powerful GIS-compatible systems, has become the most popular software among geographers precisely because of its capacity for spatial-quantitative synthesis. Now geographers Jay Lee and David Wong have produced the first handbook for applied ArcView use, bringing the theoretical underpinnings of classical statistics into the earth science environment. Employing points, lines, and polygons to model real-world geographic forms, this easy-to-use resource provides geographers with a valuable bridge between theory and the software necessary to apply it. It contains sections on point distribution, point pattern analysis, linear features, network analysis, and spatial autocorrelation analysis. Statistical Analysis with ArcView GIS also features: Examples that show steps of statistical calculations-as well as ways to interpret the results. More than 100 illustrations, including statistical charts, maps, and ArcView screen captures. Helpful end-of-chapter references. Suitable for professionals as well as students of geography, this book is an important tool for anyone involved in the statistical analysis of GIS data.

Spatial Analysis And GIS

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Publisher : CRC Press
ISBN 13 : 9780203221563
Total Pages : 298 pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Spatial Analysis And GIS by : S Fotheringham

Download or read book Spatial Analysis And GIS written by S Fotheringham and published by CRC Press. This book was released on 2013-04-08 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geographic information systems represent an exciting and rapidly expanding technology via which spatial data may be captured, stored, retrieved, displayed, manipulated and analysed. Applications of this technology include detailed inventories of land use parcels. Spatial patterns of disease, geodemographics, environmental management and macroscale inventories of global resources. The impetus for this book is the relative lack of research into the integration of spatial analysis and GIS, and the potential benefits in developing such an integration. From a GIS perspective, there is an increasing demand for systems that do something other than display and organize data. From a spatial analytical perspective, there are advantages to linking statistical methods and mathematical models to the database and display capabilities of a GIS. Although the GIS may not be absolutely necessary for spatial analysis, it can facilitate such an analysis and moreover provide insights that might otherwise have been missed. The contributions to the book tell us where we are and where we ought to be going. It suggests that the integration of spatial analysis and GIS will stimulate interest in quantitative spatial science, particularly exploratory and visual types of analysis and represents a unique statement of the state-of-the-art issues in integration and interface.