Quantitative geography

Quantitative geography: perspectives on spatial data analysis

Fotheringham, A. Stewart

Brunsdon, Chris

Charlton, Martin

2000

London, Thousand Oaks, CA, Sage Publications. 268 p.

Resumen: Integrating a discussion of the application of quantitative methods with practical examples, this book explains the philosophy of the new quantitative methodologies and contrasts them with the methods associated with geography's `Quantitative Revolution' of the 1960s. Key issues discussed include: the nature of modern quantitative geography; spatial data; geographical information systems; visualization; local analysis; point pattern analysis; spatial regression; and statistical inference. Concluding with a review of models used in spatial theory, the authors discuss the current challenges to spatial data analysis. Written to be accessible, to communicate the diversity and excitement of recent thinking, Quantitative Geography will be required reading for students and researchers in any discipline where quantitative methods are used to analyse spatial data.

Data analysis and statistics

Data analysis and statistics: for geography, environmental science, and engineering

Acevedo, Miguel F.

2013

Boca Ratón, Florida, CRC Press. 535 p.

Resumen: The book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines. Learn How to Use a Variety of Data Analysis and Statistics Methods. Based on the author’s many years of teaching graduate and undergraduate students, this textbook emphasizes hands-on learning. Organized into two parts, it allows greater flexibility using the material in various countries and types of curricula. The first part covers probability, random variables and inferential statistics, applications of regression, time series analysis, and analysis of spatial point patterns. The second part uses matrix algebra to address multidimensional problems. After a review of matrices, it delves into multiple regression, dependent random processes and autoregressive time series, spatial analysis using geostatistics and spatial regression, discriminant analysis, and a variety of multivariate analyses based on eigenvector methods. 

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Número de pedido en Biblioteca FAU

Statistical techniques in geographical analysis

Statistical techniques in geographical analysis

Wheeler, Dennis

2004

London, New York, Routledge. 342 p.

Resumen: Applying statistical techniques to geographical data collection and analysis can be a difficult and challenging process, especially for students who have not studied formal mathematics to a high level Assuming no more knowledge than basic GCSE maths, this book provides a gentle introduction to statistical analyis and to building confidence using a wide range of methods and applying them in either one or both of the leading software statistical packages, SPSS and MINITAB. This volume includes changes in the switch from DOS-based to Windows-based, menu-driven forms of SPSS and MINITAB is the most important. The other change shows availability of data in digital form from websites or via CD-ROMs. 

Número de pedido en Biblioteca FAU