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Statistical Analysis Of Geographical Data


Statistical Analysis Of Geographical Data
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Statistical Analysis Of Geographical Data


Statistical Analysis Of Geographical Data
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Author : Simon James Dadson
language : en
Publisher: John Wiley & Sons
Release Date : 2017-05-08

Statistical Analysis Of Geographical Data written by Simon James Dadson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-08 with Science categories.


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 Geographic Information With Arcview Gis And Arcgis


Statistical Analysis Of Geographic Information With Arcview Gis And Arcgis
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Author : David W. S. Wong
language : en
Publisher: John Wiley & Sons
Release Date : 2005-10-20

Statistical Analysis Of Geographic Information With Arcview Gis And Arcgis written by David W. S. Wong and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-20 with Mathematics categories.


CD-ROM contains complete set of ArcView Extensions used in text and accompanying datasets.



Statistical Analysis With Arcview Gis


Statistical Analysis With Arcview Gis
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Author : Jay Lee
language : en
Publisher: John Wiley & Sons
Release Date : 2001-05-16

Statistical Analysis With Arcview Gis written by Jay Lee and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-05-16 with Science categories.


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.



Statistical Methods For Geography


Statistical Methods For Geography
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Author : Peter Rogerson
language : en
Publisher: SAGE
Release Date : 2001

Statistical Methods For Geography written by Peter Rogerson and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Social Science categories.


Statistical Methods for Geography is a systematic introduction to the essential techniques that all students must understand to complete a module in statistical analysis. It provides an integrated overview of spatial data and spatial data analysis. Key features include: - An applied focus on methods for geographers: the text presents a detailed discussion of regression analysis and autocorrelation - the principal methods of statistical inference used in geography. - An introduction to the principles of spatial analysis and spatial patterns, including probability and probability models; hypothesis testing and sampling; analysis of variance; point patterns; and patterns in areal data.



Geographical Data Analysis


Geographical Data Analysis
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Author : Nigel Walford
language : en
Publisher: John Wiley & Sons
Release Date : 1995-07-05

Geographical Data Analysis written by Nigel Walford and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-07-05 with Business & Economics categories.


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.



Methods Of Statistical Analysis Of Fieldwork Data


Methods Of Statistical Analysis Of Fieldwork Data
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Author : P. R. St. John
language : en
Publisher:
Release Date : 1990-01-01

Methods Of Statistical Analysis Of Fieldwork Data written by P. R. St. John and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-01-01 with Geography categories.




Statistical Techniques In Geographical Analysis


Statistical Techniques In Geographical Analysis
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Author : Gareth Shaw
language : en
Publisher: Taylor & Francis Group
Release Date : 1994

Statistical Techniques In Geographical Analysis written by Gareth Shaw and has been published by Taylor & Francis Group this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Science categories.


The second edition of this widely-used undergraduate textbook is shorter than its predecessor, but now contains a thorough treatment of computational methods. It aims to cover degree students' needs in statistical methods from their first to final years. Assuming no more than basic secondary or high school mathematics, the authors provide coverage of a range of techniques, from simple descriptive to parametric and non-parametric methods in bivariate and multivariate settings. Almost invariably each technique is introduced 'manually', followed up by the appropriate application using either the SPSS or MINITAB software packages - the two statistical packages most widely used by geographers. Topics are introduced in an orderly sequence, reinforced by worked examples, so that the book can be equally valuable as part of a teaching scheme, as an aid in distance learning or as an accessible reference source on the different techniques.



Statistical Methods For Spatial Data Analysis


Statistical Methods For Spatial Data Analysis
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Author : Oliver Schabenberger
language : en
Publisher: CRC Press
Release Date : 2017-01-27

Statistical Methods For Spatial Data Analysis written by Oliver Schabenberger and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-27 with Mathematics categories.


Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.



Spatial Analysis And Gis


Spatial Analysis And Gis
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Author : S Fotheringham
language : en
Publisher: CRC Press
Release Date : 2013-04-08

Spatial Analysis And Gis written by S Fotheringham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-08 with Technology & Engineering categories.


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.



Spatial Statistics And Geostatistics


Spatial Statistics And Geostatistics
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Author : Yongwan Chun
language : en
Publisher: SAGE
Release Date : 2013-01-30

Spatial Statistics And Geostatistics written by Yongwan Chun and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-30 with Science categories.


Its focus is on spatial statistics as a distinct form of statistical analysis and it includes computer components for ArcGIS, R, SAS, and WinBUGS. The teaching and learning objective of the text is to illustrate the use of basic spatial statistics, geostatistics and the spatial filtering techniques used in all the relevant programs and software.