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Quantitative Methods And Applications In Gis

Author: Fahui Wang
Publisher: CRC Press
ISBN: 142000428X
Size: 61.28 MB
Format: PDF, Docs
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Quantitative Methods and Applications in GIS integrates GIS, spatial analysis, and quantitative methods to address various issues in socioeconomic studies and public policy. Methods range from basic regression analysis to advanced topics such as linear programming and system of equations. Applications vary from typical themes in urban and regional analysis - trade area analysis, accessibility measures, analysis of regional growth patterns, land use simulation - to issues related to crime and health analyses. The book covers common tasks such as distance and travel time estimation, spatial smoothing and interpolation, and accessibility measures. It also covers the major issues that are encountered in spatial analysis including modifiable areal unit problems, rate estimate of rare events in small populations, and spatial autocorrelation. Each chapter has one subject theme, introduces the method (or a group of related methods) most relevant to the theme, and then uses case studies to implement the method in a GIS environment.

Quantitative Methods And Socio Economic Applications In Gis Second Edition

Author: Fahui Wang
Publisher: CRC Press
ISBN: 1466584734
Size: 33.98 MB
Format: PDF, ePub, Docs
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The second edition of a bestseller, Quantitative Methods and Socio-Economic Applications in GIS (previously titled Quantitative Methods and Applications in GIS) details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. The book integrates GIS and quantitative (computational) methods and demonstrates them in various policy-relevant socio-economic applications with step-by-step instructions and datasets. The book demonstrates the diversity of issues where GIS can be used to enhance the studies related to socio-economic issues and public policy. See What’s New in the Second Edition: All project instructions are in ArcGIS 10.2 using geodatabase datasets New chapters on regionalization methods and Monte Carlo simulation Popular tasks automated as a convenient toolkit: Huff Model, 2SFCA accessibility measure, regionalization, Garin-Lowry model, and Monte Carlo based spatial simulation Advanced tasks now implemented in user-friendly programs or ArcGIS: centrality indices, wasteful commuting measure, p-median problem, and traffic simulation Each chapter has one subject theme and introduces the method (or a group of related methods) most relevant to the theme. While each method is illustrated in a special case of application, it can also be used to analyze different issues. For example, spatial regression is used to examine the relationship between job access and homicide patterns; systems of linear equations are analyzed to predict urban land use patterns; linear programming is introduced to solve the problem of wasteful commuting and allocate healthcare facilities; and Monte Carlo technique is illustrated in simulating urban traffic. The book illustrates the range of computational methods and covers common tasks and major issues encountered in a spatial environment. It provides a platform for learning technical skills and quantitative methods in the context of addressing real-world problems, giving you instant access to the tools to resolve major socio-economic issues.

Quantitative Methods And Socio Economic Applications In Gis Second Edition

Author: Fahui Wang
Publisher: CRC Press
ISBN: 9781466584723
Size: 31.55 MB
Format: PDF, ePub
View: 1472
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The second edition of a bestseller, Quantitative Methods and Socio-Economic Applications in GIS (previously titled Quantitative Methods and Applications in GIS) details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. The book integrates GIS and quantitative (computational) methods and demonstrates them in various policy-relevant socio-economic applications with step-by-step instructions and datasets. The book demonstrates the diversity of issues where GIS can be used to enhance the studies related to socio-economic issues and public policy. See What’s New in the Second Edition: All project instructions are in ArcGIS 10.2 using geodatabase datasets New chapters on regionalization methods and Monte Carlo simulation Popular tasks automated as a convenient toolkit: Huff Model, 2SFCA accessibility measure, regionalization, Garin-Lowry model, and Monte Carlo based spatial simulation Advanced tasks now implemented in user-friendly programs or ArcGIS: centrality indices, wasteful commuting measure, p-median problem, and traffic simulation Each chapter has one subject theme and introduces the method (or a group of related methods) most relevant to the theme. While each method is illustrated in a special case of application, it can also be used to analyze different issues. For example, spatial regression is used to examine the relationship between job access and homicide patterns; systems of linear equations are analyzed to predict urban land use patterns; linear programming is introduced to solve the problem of wasteful commuting and allocate healthcare facilities; and Monte Carlo technique is illustrated in simulating urban traffic. The book illustrates the range of computational methods and covers common tasks and major issues encountered in a spatial environment. It provides a platform for learning technical skills and quantitative methods in the context of addressing real-world problems, giving you instant access to the tools to resolve major socio-economic issues.

Qualitative Gis

Author: Meghan Cope
Publisher: SAGE
ISBN: 1446244563
Size: 17.13 MB
Format: PDF, ePub
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Geographic Information Systems are an essential tool for analyzing and representing quantitative spatial data. Qualitative GIS explains the recent integration of qualitative research with Geographical Information Systems With a detailed contextualising introduction, the text is organised in three sections: Representation: examines how researchers are using GIS to create new types of representations; working with spatial data, maps, and othervisualizations to incorporate multiple meanings and to provide texture and context. Analysis: discusses the new techniques of analysis that are emerging at the margins between qualitative research and GIS, this in the wider context of a critical review of mixed-methods in geographical research Theory: questions how knowledge is produced, showing how ideas of 'science' and 'truth' inform research, and demonstrates how qualitative GIS can be used to interrogate discussions of power, community, and social action Making reference to representation, analysis, and theory throughout, the text shows how to frame questions, collect data, analyze results, and represent findings in a truly integrated way. An important addition to the mixed methods literature, Qualitative GIS will be the standard reference for upper-level students and researchers using qualitative methods and Geographic Information Systems.

Analytic Mapping And Geographic Databases

Author: G. David Garson
Publisher: SAGE
ISBN: 9780803947528
Size: 41.71 MB
Format: PDF, Kindle
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The techniques of analytic mapping and of geographic information systems (GIS) have become increasingly important tools for analyzing census, crime, environmental and consumer data. The authors of this significant volume discuss data access, transformation and preparation issues, and how to select the appropriate analytic graphics techniques through a review of various GIS and common data sources, such as census products, TIGER files, and CD-ROM access. They describe each procedure, review its assumptions and requirements and provide illustrative output for sample data using selected software. Researchers and administrators who need to manage data of geographic locations will find this book a useful guide to systems for storing, retrieving,

Spatial Technology And Archaeology

Author: David Wheatley
Publisher: CRC Press
ISBN: 1466576618
Size: 74.70 MB
Format: PDF, Mobi
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Geographical Information Systems (GIS) and related spatial technologies have a new and powerful role to play in archaeological interpretation. Beginning with a conceptual approach to the representation of space adopted by GIS, this book examines spatial databases; the acquisition and compilation of data; the analytical compilation of data; the analytical functionality of GIS; and the creation and utilization of critical foundation data layers such as the Digital Elevation Model (DEM). The ways in which GIS can most usefully facilitate archaeological analysis and interpretation are then explored particularly as a tool for the management of archaeological resources. Formal analysis of archaeological material, and the use of trend surface, contouring and interpolation procedures are considered along with predictive modeling analysis of visibility and intervisibility. Finally there is a discussion of leading-edge issues, including three-dimensional GIS, object-oriented GIS, the relationship between GIS and 'Virtual Reality' technologies, and the integration of GIS with distributed systems and the Internet. The approach is light, and technical detail is kept to a minimum, recognizing that most readers are simply interested in using GIS effectively. The text is carefully illustrated with worked case-studies using archaeological data. Spatial Technology and Archaeology provides a single reference source for archaeologists, students, professionals, and academics in archaeology as well as those in anthropology and related disciplines.

Applied Gis And Spatial Analysis

Author: John Stillwell
Publisher: John Wiley & Sons
ISBN: 9780470844090
Size: 61.41 MB
Format: PDF
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The popularity of geography as an academic discipline is partly explained by its relevance to the real world. Spatial analysis uses geographic information and statistical methods for the study of specific applications, ranging from business location analysis to the measurement of inner city deprivation, and when used in conjunction with GIS, visual representations and "what if" scenarios can be created. An increasing number of public and private sector organisations now regard spatial analysis as a valuable problem-solving tool. "Applied GIS and Spatial Analysis" focuses on the use of quantitative methods and GIS in applied contexts, demonstrating the wide range of techniques that are used to deal with problems at different spatial scales. It provides readers with a range of global applications from local/national government and business, and is structured to convey the public-private focus of the material. Arranged in four main parts, "Applied GIS and Spatial Analysis" covers: Geobusiness, which considers applications in the private sector. Social Deprivation, a set of chapters commissioned by various local authorities helping to expose different aspects of social problems, especially deprivation and crime. Transport and Location, relating to transport networks and location problems. National Spatial Planning, which looks at large-scale national social and economic problems, largely funded by government departments. This book is unique as it concentrates on commercially-sponsored applications of GIS and quantitative geography research methodologies that are undertaken by professional quantitative geographers."" Internationally renowned editors and contributors from academic and business consultancies present spatial analysis techniques and the actual "process" of problem solving, to illustrate the applied nature of contemporary quantitative geography. A wealth of case studies enriches the chapters and exemplifies the practical application of GIS, statistical models, location-allocation models, and networks of flow models. "Applied Spatial Modelling and GIS" is essential reading for postgraduates and researchers of Quantitative Geography, GIS, Spatial Modelling and Retail Geography. It is also highly recommended for upper-level undergraduate and MSc students taking modules in GIS and Quantitative Geography, and will be a valuable source of reference for practitioners involved in the use of GIS for private and public sector planning.

Geomorphological Mapping

Author: Mike J. Smith
Publisher: Elsevier
ISBN: 0444535365
Size: 72.38 MB
Format: PDF, ePub, Mobi
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Geomorphological Mapping: a professional handbook of techniques and applications is a new book targeted at academics and practitioners who use, or wish to utilise, geomorphological mapping within their work. Synthesising for the first time an historical perspective to geomorphological mapping, field based and digital tools and techniques for mapping and an extensive array of case studies from academics and professionals active in the area. Those active in geomorphology, engineering geology, reinsurance, Environmental Impact Assessors, and allied areas, will find the text of immense value. Growth of interest in geomorphological mapping and currently no texts comprehensively cover this topic Extensive case studies that will appeal to professionals, academics and students (with extensive use of diagrams, potentially colour plates) Brings together material on digital mapping (GIS and remote sensing), cartography and data sources with a focus on modern technologies (including GIS, remote sensing and digital terrain analysis) Provides readers with summaries of current advances in methodological/technical aspects Accompanied by electronic resources for digital mapping

Spatial Data Mining

Author: Deren Li
Publisher: Springer
ISBN: 3662485389
Size: 68.76 MB
Format: PDF, ePub
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· This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project ‘the Belt and Road Initiatives’.