Asymptotic and Computational Methods in Spatial Statistics
Author: Juan Du
Publisher: Academic Conferences Limited
Published: 2009
Total Pages: 241
ISBN-13: 1908272333
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Spatial Analysis Along Networks
Author: Atsuyuki Okabe
Publisher: John Wiley & Sons
Published: 2012-07-02
Total Pages: 252
ISBN-13: 1119967767
DOWNLOAD EBOOKIn the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the contamination along rivers. In order to carry out analyses of those events, the researcher needs to be familiar with a range of specific techniques. Spatial Analysis Along Networks provides a practical guide to the necessary statistical techniques and their computational implementation. Each chapter illustrates a specific technique, from Stochastic Point Processes on a Network and Network Voronoi Diagrams, to Network K-function and Point Density Estimation Methods, and the Network Huff Model. The authors also discuss and illustrate the undertaking of the statistical tests described in a Geographical Information System (GIS) environment as well as demonstrating the user-friendly free software package SANET. Spatial Analysis Along Networks: Presents a much-needed practical guide to statistical spatial analysis of events on and alongside a network, in a logical, user-friendly order. Introduces the preliminary methods involved, before detailing the advanced, computational methods, enabling the readers a complete understanding of the advanced topics. Dedicates a separate chapter to each of the major techniques involved. Demonstrates the practicalities of undertaking the tests described in the book, using a GIS. Is supported by a supplementary website, providing readers with a link to the free software package SANET, so they can execute the statistical methods described in the book. Students and researchers studying spatial statistics, spatial analysis, geography, GIS, OR, traffic accident analysis, criminology, retail marketing, facility management and ecology will benefit from this book.
Spatial Statistics and Computational Methods
Author: Jesper Møller
Publisher: Springer Science & Business Media
Published: 2013-04-17
Total Pages: 217
ISBN-13: 0387218114
DOWNLOAD EBOOKThis volume shows how sophisticated spatial statistical and computational methods apply to a range of problems of increasing importance for applications in science and technology. It introduces topics of current interest in spatial and computational statistics, which should be accessible to postgraduate students as well as to experienced statistical researchers.
The Palgrave Handbook of Comparative Public Administration
Author: Murat Önder
Publisher: Springer Nature
Published: 2022-06-16
Total Pages: 790
ISBN-13: 9811912084
DOWNLOAD EBOOKThis handbook discusses different countries’ bureaucratic, institutional, constitutional, reforms and governance system. It analyses the legislative and policy making processes and applications, local structures and functions of public administration in a given country. It presents the comparative aspects of public administration across the globe with recent developments in the field.
Stochastic Analysis for Gaussian Random Processes and Fields
Author: Vidyadhar S. Mandrekar
Publisher: CRC Press
Published: 2015-06-23
Total Pages: 200
ISBN-13: 1498707823
DOWNLOAD EBOOKStochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces (RKHSs).The book begins with preliminary results on covariance and associated RKHS
Interpolation of Spatial Data
Author: Michael L. Stein
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 263
ISBN-13: 1461214947
DOWNLOAD EBOOKA summary of past work and a description of new approaches to thinking about kriging, commonly used in the prediction of a random field based on observations at some set of locations in mining, hydrology, atmospheric sciences, and geography.
Theory of Spatial Statistics
Author: M.N.M. van Lieshout
Publisher: CRC Press
Published: 2019-03-19
Total Pages: 221
ISBN-13: 0429627033
DOWNLOAD EBOOKTheory of Spatial Statistics: A Concise Introduction presents the most important models used in spatial statistics, including random fields and point processes, from a rigorous mathematical point of view and shows how to carry out statistical inference. It contains full proofs, real-life examples and theoretical exercises. Solutions to the latter are available in an appendix. Assuming maturity in probability and statistics, these concise lecture notes are self-contained and cover enough material for a semester course. They may also serve as a reference book for researchers. Features * Presents the mathematical foundations of spatial statistics. * Contains worked examples from mining, disease mapping, forestry, soil and environmental science, and criminology. * Gives pointers to the literature to facilitate further study. * Provides example code in R to encourage the student to experiment. * Offers exercises and their solutions to test and deepen understanding. The book is suitable for postgraduate and advanced undergraduate students in mathematics and statistics.
Applied Spatial Data Analysis with R
Author: Roger S. Bivand
Publisher: Springer Science & Business Media
Published: 2013-06-21
Total Pages: 414
ISBN-13: 1461476186
DOWNLOAD EBOOKApplied 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.
The SAGE Handbook of Spatial Analysis
Author: A Stewart Fotheringham
Publisher: SAGE
Published: 2008-12-22
Total Pages: 529
ISBN-13: 1446206505
DOWNLOAD EBOOKThe widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial analytical techniques across a range of disciplines. As growing numbers of researchers realise they are dealing with spatial data, the demand for specialised statistical and mathematical methods designed to deal with spatial data is undergoing a rapid increase. Responding to this demand, The Handbook of Spatial Analysis is a comprehensive and authoritative discussion of issues and techniques in the field of Spatial Data Analysis. Its principal focus is on: • why the analysis of spatial data needs separate treatment • the main areas of spatial analysis • the key debates within spatial analysis • examples of the application of various spatial analytical techniques • problems in spatial analysis • areas for future research Aimed at an international audience of academics, The Handbook of Spatial Analysis will also prove essential to graduate level students and researchers in government agencies and the private sector.
Fields, Networks, Computational Methods, and Systems in Modern Electrodynamics
Author: Peter Russer
Publisher: Springer Science & Business Media
Published: 2013-04-17
Total Pages: 296
ISBN-13: 3662072211
DOWNLOAD EBOOKOn June 1St 2004 the Faculty of Electrical Engineering and Information Technology of the Technische Universitat Miinchen bestowed the degree of the doctor honoris causa to Leopold B. Felsen, for extraordinary achievements in the theory of electromag netic fields. On this occasion on June 1St and 2nd 2004 at the Technische Universitat Miinchen a symposium on "Fields, Networks, Computational Methods, and Systems: A Modern View of Engineering Electrodynamics" in honor of Leopold B. Felsen was organized. The symposium topic focused on an important area of Leopold Felsen research interests and, as the title emphasizes, on a modern view of applied Electro dynamics. While the fundamental physical laws of electrodynamics are well known, research in this field is experiencing a steady continuous growth. The problem -solving approaches of, say, twenty years ago may seem now fairly obsolete since considerable progress has been made in the meantime. In this monograph we collect samples of present day state of the art in dealing with electromagnetic fields, their network theory representation, their computation and, finally, on system applications. The network formulation of field problems can improve the problem formulation and also contribute to the solution methodology. Network theory systematic approaches for circuit analysis are based on the separation of the circuit into the connection circuit and the circuit elements. Many applications in science and technology rely on computations of the electromagnetic field in either man-made or natural complex structures.
