Handbook of Applied Spatial Analysis

Handbook of Applied Spatial Analysis

Aldstadt J (2009) Spatial clustering. In Fischer MM, Getis A (eds) Handbook of applied spatial analysis. Springer, Berlin, Heidelberg and New York, pp.279-300 Anselin L (1988) Spatial econometrics: methods and models.

Author: Manfred M. Fischer

Publisher: Springer Science & Business Media

ISBN: 9783642036477

Category: Business & Economics

Page: 811

View: 810

The Handbook is written for academics, researchers, practitioners and advanced graduate students. It has been designed to be read by those new or starting out in the field of spatial analysis as well as by those who are already familiar with the field. The chapters have been written in such a way that readers who are new to the field will gain important overview and insight. At the same time, those readers who are already practitioners in the field will gain through the advanced and/or updated tools and new materials and state-of-the-art developments included. This volume provides an accounting of the diversity of current and emergent approaches, not available elsewhere despite the many excellent journals and te- books that exist. Most of the chapters are original, some few are reprints from the Journal of Geographical Systems, Geographical Analysis, The Review of Regional Studies and Letters of Spatial and Resource Sciences. We let our contributors - velop, from their particular perspective and insights, their own strategies for m- ping the part of terrain for which they were responsible. As the chapters were submitted, we became the first consumers of the project we had initiated. We gained from depth, breadth and distinctiveness of our contributors’ insights and, in particular, the presence of links between them.
Categories: Business & Economics

Applied Spatial Data Analysis with R

Applied Spatial Data Analysis with R

In Fischer, M. and Getis, A., editors, Handbook of Applied Spatial Analysis, pages 219–254. Springer, Heidelberg. pp. 36. [284] Bivand, R. S., Hauke, J., and Kossowski, T. (2013). Computing the Jacobian in Gaussian spatial ...

Author: Roger S. Bivand

Publisher: Springer Science & Business Media

ISBN: 9781461476184

Category: Medical

Page: 405

View: 968

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.
Categories: Medical

Spatial Data Analysis

Spatial Data Analysis

In: Fischer MM, Getis A (eds) Handbook of applied spatial analysis. Software tools, methods and applications. Springer, Berlin, pp 255–278 Getis A (1995) The tyranny of data. Tenth University Research Lecture, San Diego State University ...

Author: Manfred M. Fischer

Publisher: Springer Science & Business Media

ISBN: 3642217206

Category: Business & Economics

Page: 80

View: 798

The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered.
Categories: Business & Economics

Exploring Spatial Scale in Geography

Exploring Spatial Scale in Geography

Anselin L, Syabri I and Kho Y (2010) GeoDa: an introduction to spatial data analysis. In: Handbook of Applied Spatial Analysis: Software Tools, Methods and Applications (eds Fischer MM and Getis A). Springer, Heidelberg, Germany, pp.

Author: Christopher D. Lloyd

Publisher: John Wiley & Sons

ISBN: 9781119971351

Category: Science

Page: 272

View: 871

This book offers alternative definitions of spatial scale, presents approaches for exploring spatial scale, and makes use of a wide variety of case studies in the physical and social sciences to demonstrate key concepts. It consists of three integrated strands. The first is conceptual, outlining some definitions of spatial scale and debating the meaning and value of concepts of scale. The second strand outlines methods for exploration of spatial scale including standard measures of spatial autocorrelation, fractals, wavelets, multilevel models and geostatistical measures. The third and final strand demonstrates the application of these concepts and methods to real world case studies. --
Categories: Science

The Routledge Handbook of Planning Research Methods

The Routledge Handbook of Planning Research Methods

Implementing spatial data analysis software tools in R. Geographical Analysis 38 (1), 23–40. Bivand, R., Pebesma, E. J., Gómez-Rubio, V., 2008. Applied spatial data analysis with R. Springer, New York. Burridge, P., 1980.

Author: Elisabete A. Silva

Publisher: Routledge

ISBN: 9781317917038

Category: Political Science

Page: 530

View: 659

The Routledge Handbook of Planning Research Methods is an expansive look at the traditions, methods, and challenges of research design and research projects in contemporary urban planning. Through case studies, an international group of researchers, planning practitioners, and planning academics and educators, all recognized authorities in the field, provide accounts of designing and implementing research projects from different approaches and venues. This book shows how to apply quantitative and qualitative methods to projects, and how to take your research from the classroom to the real world. The book is structured into sections focusing on Beginning planning research Research design and development Rediscovering qualitative methods New advances in quantitative methods Turning research into action With chapters written by leading scholars in spatial planning, The Routledge Handbook of Planning Research Methods is the most authoritative and comprehensive handbook on the topic, providing both established and ground breaking coverage of spatial planning research methods. The book is an invaluable resource for undergraduate and graduate level students, young professionals and practitioners in urban, regional, and spatial planning.
Categories: Political Science

The Practice of Spatial Analysis

The Practice of Spatial Analysis

Modeling spatial autocorrelation in spatial interaction data: an application to patent citation data in the European Union. Journal of Regional Science, 48, 969–989. Fischer, M. M., & Getis, A. (2009). Handbook of applied spatial ...

Author: Helen Briassoulis

Publisher: Springer

ISBN: 9783319898063

Category: Science

Page: 381

View: 403

This edited volume compiles a set of papers that present various applications of spatial analysis, both traditional and contemporary, on diverse subjects in a wide range of contexts. The volume is dedicated to the memory of the late Professor Pavlos Kanaroglou, McMaster University, Canada, who greatly contributed to scientific and applied research on spatial analysis. In his honor, the book offers a selection of various spatial analysis approaches to the study of contemporary urban transportation, land use, and air pollution issues. The first part of the book discusses selected general issues in spatial analysis; ontologies, agent-based modelling and accessibility analysis. The second part deals with urban transportation analysis and modelling issues; agent-based activity/travel microsimulation, bottleneck models, public transit use, freight transport and connected automated vehicles impact assessment. Part three focuses on integrated land use and transport analysis, discussing the land value impacts of public transport infrastructure, the role of transport provision on business evolution and commute distance considerations in urban relocation. The fourth part, on travel-related air pollution analysis, presents the development of a geo-information software for mapping Aerosol Optical Thickness in urban environments and the development of a neighborhood level, real time, internet-enabled, air pollution map in the Canadian urban context. This book will appeal to academics, researchers, graduate students, consultants, and practitioners working on topics related to spatial analysis, land use and transport analysis, planning and decision making, and air pollution studies.
Categories: Science

Applied Bayesian Modelling

Applied Bayesian Modelling

Elhorst, J. (2008) Serial and spatial error correlation. Economics Letters, 100, 422–424. Elhorst, J. (2010) Spatial panel data models. In M. Fischer and A. Getis (eds), Handbook of Applied Spatial Analysis, pp. 377–407.

Author: Peter Congdon

Publisher: John Wiley & Sons

ISBN: 9781118895054

Category: Mathematics

Page: 464

View: 651

This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBUGS and OPENBUGS. This feature continues in the new edition along with examples using R to broaden appeal and for completeness of coverage.
Categories: Mathematics

Local Models for Spatial Analysis Second Edition

Local Models for Spatial Analysis  Second Edition

Power calculations for global and local Moran's I. Computational Statistics and Data Analysis, 53:2859–2872, 2007. [47] R. S. Bivand. Exploratory spatial data analysis. In M. M. Fischer and A. Getis, editors, Handbook of Applied Spatial ...

Author: Christopher D. Lloyd

Publisher: CRC Press

ISBN: 1439829233

Category: Technology & Engineering

Page: 352

View: 602

Written in recognition of developments in spatial data analysis that focused on differences between places, the first edition of Local Models for Spatial Analysis broke new ground with its focus on local modelling methods. Reflecting the continued growth and increased interest in this area, the second edition describes a wide range of methods which account for local variations in geographical properties. What’s new in the Second Edition: Additional material on geographically-weighted statistics and local regression approaches A better overview of local models with reference to recent critical reviews about the subject area Expanded coverage of individual methods and connections between them Chapters have been restructured to clarify the distinction between global and local methods A new section in each chapter references key studies or other accounts that support the book Selected resources provided online to support learning An introduction to the methods and their underlying concepts, the book uses worked examples and case studies to demonstrate how the algorithms work their practical utility and range of application. It provides an overview of a range of different approaches that have been developed and employed within Geographical Information Science (GIScience). Starting with first principles, the author introduces users of GISystems to the principles and application of some widely used local models for the analysis of spatial data, including methods being developed and employed in geography and cognate disciplines. He discusses the relevant software packages that can aid their implementation and provides a summary list in Appendix A. Presenting examples from a variety of disciplines, the book demonstrates the importance of local models for all who make use of spatial data. Taking a problem driven approach, it provides extensive guidance on the selection and application of local models.
Categories: Technology & Engineering

Spatial Analysis

Spatial Analysis

Statistics, Visualization, and Computational Methods Tonny J. Oyana, Florence Margai. Spatial Contiguity: This is ... Local statistical spatial analysis: Inventory and prospect. ... In Handbook of Applied Spatial Analysis, pp. 255– 278.

Author: Tonny J. Oyana

Publisher: CRC Press

ISBN: 9781498707640

Category: Mathematics

Page: 323

View: 619

An introductory text for the next generation of geospatial analysts and data scientists, Spatial Analysis: Statistics, Visualization, and Computational Methods focuses on the fundamentals of spatial analysis using traditional, contemporary, and computational methods. Outlining both non-spatial and spatial statistical concepts, the authors present practical applications of geospatial data tools, techniques, and strategies in geographic studies. They offer a problem-based learning (PBL) approach to spatial analysis—containing hands-on problem-sets that can be worked out in MS Excel or ArcGIS—as well as detailed illustrations and numerous case studies. The book enables readers to: Identify types and characterize non-spatial and spatial data Demonstrate their competence to explore, visualize, summarize, analyze, optimize, and clearly present statistical data and results Construct testable hypotheses that require inferential statistical analysis Process spatial data, extract explanatory variables, conduct statistical tests, and explain results Understand and interpret spatial data summaries and statistical tests Spatial Analysis: Statistics, Visualization, and Computational Methods incorporates traditional statistical methods, spatial statistics, visualization, and computational methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Topics covered include: spatial descriptive methods, hypothesis testing, spatial regression, hot spot analysis, geostatistics, spatial modeling, and data science.
Categories: Mathematics

Spatial Analysis Methods and Practice

Spatial Analysis Methods and Practice

Local spatial autocorrelation statistics: Distributional issues and an application. Geographical Analysis ... Spatial statistics for urban analysis: A review of techniques with examples. ... Handbook of Applied Spatial Analysis (27–41).

Author: George Grekousis

Publisher: Cambridge University Press

ISBN: 9781108585507

Category: Technology & Engineering

Page:

View: 848

This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences.
Categories: Technology & Engineering