Fuzzy Surfaces in GIS and Geographical Analysis: Theory, Analytical Methods, Algorithms and Applications
Although surfaces are central to geographical analysis and geographical information systems, data is often not precise because of the uncertainty inherent in GIS and remote sensing data acquisition systems. Fuzzy Surfaces in GIS and Geographical Analysis presents methods to address such uncertainties within the framework of GIS, limiting analysis of surfaces to three types: intervals, fuzzy sets, and possibility distributions. It defines the mathematics associated with each method, develops related algorithms, and illustrates various applications. To provide a deeper understanding of uncertainty, four separate software programs with sample data are also included on an accompanying CD-ROM.
- Weldon Lodwick
- 2007-05-15, Taylor & Francis
Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools
This Guide addresses the full spectrum of spatial analysis and associated modelling techniques that are provided within currently available and widely used geographic information systems (GIS) and associated software. Collectively such techniques and tools are often now described as geospatial analysis, although we use the more common form, spatial analysis, in most of our discussions. The objective is to be comprehensive both in terms of concepts and techniques (but not necessarily exhaustive), representative and independent in terms of software tools, and above all practical in terms of application and implementation. However, we believe that it is no longer appropriate to think of a standard, discipline specific textbook as capable of satisfying every kind of new user need. Accordingly, an innovative feature of our approach here is the range of formats, channels and releases that we propose to disseminate the material.
The interactive web version of this Guide may be accessed via the associated Internet site: www.spatialanalysisonline.com. The contents and sample sections of the PDF version may also be accessed from this site. In both cases the contents are regularly updated. Because print versions of the Guide may be made in colour or black and white/greyscale, references to colours in the text are augmented by greyscale equivalents. Readers are recommended to refer to the associated web site and/or the PDF version of the Guide for full colour details.
The Internet is now well established as society’s principal mode of information exchange, and most aspiring GIS users are accustomed to searching for material that can easily be customised to specific needs. Our objective for such users is to provide an independent, reliable and authoritative first port of call for conceptual, technical, software and applications material that addresses the panoply of new user requirements.
Readers wishing to obtain a more in-depth understanding of the background to many of the topics covered in this Guide should review the “Suggested reading” topic (Section 1.2.3). Those seeking examples of software tools that might be used for geospatial analysis should refer to the “Sample software products” topic (Section 18.104.22.168) and related discussions throughout this Guide.
Applications are the driving force behind GIS, and many are illustrated in Longley, Goodchild, Maguire and Rhind ( Chapter 2, “A gallery of applications”). In a similar vein the web site provides companion material for this Guide focusing on applications. One of the first of these will be the London GIS Casebook — a series of sector?specific case studies drawing on recent work in and around London. These include details of a range of applications from the fields of: Health and Welfare; Emergency and Security Management; Environmental Engineering and Planning; Education; Enterprise Development; and Retailing, amongst others.
- Michael J de Smith, Michael F. Goodchild and Paul Longley
- 2007-01-14, The Winchelsea Press
GPS Stochastic Modelling
Global Navigation Satellite Systems (GNSS), such as GPS, have become an efficient, reliable and standard tool for a wide range of applications. However, when processing GNSS data, the stochastic model characterising the precision of observations and the correlations between them is usually simplified and incomplete, leading to overly optimistic accuracy estimates.
This work extends the stochastic model using signal-to-noise ratio (SNR) measurements and time series analysis of observation residuals. The proposed SNR-based observation weighting model significantly improves the results of GPS data analysis, while the temporal correlation of GPS observation noise can be efficiently described by means of autoregressive moving average (ARMA) processes. Furthermore, this work includes an up-to-date overview of the GNSS error effects and a comprehensive description of various mathematical methods.
- Xiaoguang Luo
- 2014-01-01, Springer
GIS-based Analysis of Coastal Lidar Time-Series
This SpringerBrief presents the principles, methods, and workflows for processing and analyzing coastal LiDAR data time-series. Robust methods for computing high resolution digital elevation models (DEMs) are introduced as well as raster-based metrics for assessment of topographic change. An innovative approach to feature extraction and measurement of feature migration is followed by methods for estimating volume change and sand redistribution mapping. Simple methods for potential storm impacts and inundation pattern analysis are also covered, along with visualization techniques to support analysis of coastal terrain feature and surface dynamics. Hands-on examples in GRASS GIS and python scripts are provided for each type of analysis and visualization using public LiDAR data time-series. GIS-based Analysis of Coastal Lidar Time-Series is ideal for professors and researchers in GIS and earth sciences. Advanced-level students interested in computer applications and engineering will also find this brief a valuable resource.
- Hardin, E., Mitasova, H., Tateosian, L. and Overton, M.
- 2014-11-01, Springer
Developments in Multidimensional Spatial Data Models
This book presents the latest research developments in geoinformation science, which includes all the sub-disciplines of the subject, such as: geomatic engineering, GIS, remote sensing, digital photogrammetry, digital cartography, etc.
- Abdul Rahman, A, Boguslawski, P., Gold, C. and Said, M.N
- 2013-07-30, Springer
Landscape Analysis using Geospatial Tools
The subject of Landscape Analysis using Geospatial Tools is the combination of geospatial tools such as remote sensing, geographic information systems (GIS), Global Positioning System (GPS), geostatistics and geovisualization (e.g., 3D displays, fly throughs, annimation) to analyze landscapes, assess human impacts on earth resources, visualize changes over time and conduct research in landscape ecology.
This book truly bridges two broad disciplines, ecology and geography. More specifically, it integrates research and techniques in landscape ecology and geographic information science (GISci) which, in turn, encompasses GIS, remote sensing, GPS, spatial statistics and geovisualization. It is anticipated that this publication will be of interest to a wide audience. Case studies highlight the use of geospatial tools to assess the ecological impacts of human activities and assist in decision making for managers and policy makers.
- Marguerite Madden (Editor)
- 2012-09-30, Springer
Arc Hydro – Groundwater GIS for Hydrogeology
Arc Hydro Groundwater: GIS for Hydrogeology, provides water resource engineers, hydrologists, hydrogeologists, and academics with detailed information on a new geographic data model for groundwater. Coauthored by Gil Strassberg, Norman L. Jones, and David R. Maidment, Arc Hydro Groundwater is the long-awaited companion to Arc Hydro: GIS for Water Resources, the seminal text on the application of geographic information system (GIS) technology to surface water modeling.
"This new book is an invaluable resource for those working with groundwater data, and it includes great descriptions on the use of GIS to support groundwater modeling applications," said Clint Brown, Esri's director for software products. "The book is clearly written, allowing any hydrologist to understand and apply the models presented."
The Arc Hydro Groundwater data model shares a common framework with the surface water components of the Arc Hydro data model, which enables a standard methodology to apply GIS to water resource issues.
Arc Hydro Groundwater includes details on:
- Groundwater simulation models
- 3D subsurface representation in GIS
- Modeling aquifers, wells, and boreholes
- 3D hydrogeologic models
- Time series for hydrologic systems
- Gil Strassberg, Norman L. Jones and David R. Maidment
- 2011-03-14, ESRI Press
Analysis and Modelling Of Spatial Environmental Data
Analysis and Modelling of Spatial Environmental Data presents traditional geostatistics methods for variography and spatial predictions, approaches to conditional stochastic simulation and local probability distribution function estimation, and select aspects of Geographical Information Systems. It includes real case studies using Geostat Office software tools under MS Windows and also provides tools and methods to solve problems in prediction, characterization, optimization, and density estimation. The author describes fundamental methodological aspects of the analysis and modelling of spatially distributed data and the application by way of a specific and user-friendly software, GSO Geostat Office.
Presenting complete coverage of geostatistics and machine learning algorithms, the book explores the relationships and complementary nature of both approaches and illustrates them with environmental and pollution data. The book includes introductory chapters on machine learning, artificial neural networks of different architectures, and support vector machines algorithms. Several chapters cover monitoring network analysis, artificial neural networks, support vector machines, and simulations. The book demonstrates the promising results of the application of SVM to environmental and pollution data.
- Describes real case studies using Geostat Office software tools under MS Windows
- Covers monitoring network analysis, artificial neural networks, support vector machines, and simulations
- Provides tools and methods to solve problems in prediction, characterization, optimization, and density estimation
- Includes a CD-ROM with a student version of Geostat Office software for analyzing, processing, and presenting spatially distributed data; it is fully functional with a restricted number of data points.
- Mikhail Kanevski and Michel Maignan
- 2004-03-01, Taylor & Francis
GIS for Health and the Environment: Development in the Asia-Pacific Region
This book is a compilation of methodological and application developments in spatial epidemiological approaches for environmental and public health studies in the Asia Pacific region. It aims to plug a gap in the literature that has seen a shortage of materials documenting the development of health GIS in this crucial part of the world. Another definite purpose of the book is to inform the direction of research paths and agenda in the subject matter.
- Poh C. Lai and Ann S.H. Mak (Editors)
- 2007-07-01, Springer
Multicriteria Decision Analysis in Geographic Information Science
This book is intended for the GIS Science and Decision Science communities. It is primarily targeted at postgraduate students and practitioners in GIS and urban, regional and environmental planning as well as applied decision analysis. It is also suitable for those studying and working with spatial decision support systems.
The main objectives of this book are to effectivley integrate Multicriteria Decision Analysis (MCDA) into Geographic Information Science (GIScience), to provide a comprehensive account of theories, methods, technologies and tools for tackling spatial decision problems and to demonstrate how the GIS-MCDA approaches can be used in a wide range of planning and management situations.
- Jacek Malczewski
- 2013-02-01, Springer