Books about Spatially from Amazon.com

The increasing sophistication of buildings and bridges demand new analytical techniques. Reliability-based design is a well established technique in the structural and mechanical engineering communities that is now gaining momentum among geotechnical engineers. This book introduces an innovative reliability-based method for risk assessment in geotechnical engineering that allows engineers to create a better model for analyzing the properties and possible failure of a slope, mine shaft, foundation, embankment, or surface soil. By better modeling the spatially variable nature of soil and rock in the real world, the method presents a more accurate simulation which leads to safer designs. The book offers nine examples of the method in practice, utilizing the included software to demonstrate its use in the evaluation and design stages..
Price: $110.20 [Notify me when price goes down.]

Early exposure to geography, spatial thinking, and geographic information systems (GIS) helps students gain an understanding of the world around them. This work helps students improve their basic map-reading skills and extend those skills by analyzing and thinking critically about the data. Thinking Spatially Using GIS contains teacher materials, lesson plans, a resource CD with exercises, and ArcExplorer Java Edition for Education software..
Price: $31.42 [Notify me when price goes down.]

Spatial thinking - a constructive combination of concepts of space, tools of representation, and processes of reasoning - uses space to structure problems, find answers, and express solutions. It is powerful and pervasive in science, the workplace, and everyday life. By visualizing relationships within spatial structures, we can perceive, remember, and analyze the static and dynamic properties of objects and the relationships between objects. Despite its crucial role underpinning the National Standards for Science and Mathematics, spatial thinking is currently not systematically incorporated into the K-12 curriculum. "Learning to Think Spatially: GIS as a Support System in the K-12 Curriculum" examines how spatial thinking might be incorporated into existing standards-based instruction across the school curriculum. Spatial thinking must be recognized as a fundamental part of K-12 education and as an integrator and a facilitator for problem solving across the curriculum. With advances in computing technologies and the increasing availability of geospatial data, spatial thinking will play a significant role in the information- based economy of the 21st-century. Using appropriately designed support systems tailored to the K-12 context, spatial thinking can be taught formally to all students. A geographic information system (GIS) offers one example of a high-technology support system that can enable students and teachers to practice and apply spatial thinking in many areas of the curriculum..
Price: $45.95 [Notify me when price goes down.]

Spatial analysis assists theoretical understanding and empirical testing in the social sciences, and rapidly expanding applications of geographic information technologies have advanced the spatial data-gathering needed for spatial analysis and model making. This much-needed volume covers outstanding examples of spatial thinking in the social sciences, with each chapter showing some aspect of how certain social processes can be understood by analyzing their spatial context. The audience for this work is as trans-disciplinary as its authorship because it contains approaches and methodologies useful to geography, anthropology, history, political science, economics, criminology, sociology, and statistics..
Price: $54.95 [Notify me when price goes down.]

Geographically Weighted Regression: The Analysis of Spatially Varying Relationships is based on the premise that relationships between variables measured at different locations might not be constant over space. The prevailing assumption is that such relationships are constant, an assumption that would appear to be the result of convenience rather than of any serious examination of the issues. If relationships do vary significantly over space, then serious questions are raised about the reliability of traditional, global-level analyses.

Geographically Weighted Regression, as part of a broader research area in local modelling, provides a new analytical tool and a different perspective on spatial analysis. Instead of being restricted to simple global analyses in which interesting local variations in relationships are 'averaged away' and unobservable, GWR allows local relationships to be measured and mapped. In many ways the output from GWR is similar to that presented by a microscope: previously unimagined detail suddenly comes into focus. This book challenges many of the global statements of spatial relationships that have been made in the academic literature.

Geographically Weighted Regression: The Analysis of Spatially Varying Relationships contains a broad discussion of local models in general and of the details of GWR, and provides many empirical examples on issues such as house price determinants, educational attainment levels and school performance statistics. A unique accompanying feature of this book is the author-written software that allows users to undertake sophisticated and complex forms of GWR within a user-friendly, Windows-based, front-end. This software is readily available from the authors and notes on using the software and an example application are documented in the book itself.

Geographically Weighted Regression: The Analysis of Spatially Varying Relationships is an essential resource for quantitative spatial analysts and GIS researchers and students. It will be of interest to researchers in any discipline in which spatial data are used across the broad spectrum of social sciences, medicine, science and engineering. The underlying message is that locality is important and measuring local relationships is vital to understanding spatial processes.

'Stewart Fotheringham and his colleagues have produced a book that will be widely used by geographers and others interested in spatial analysis. Geographically weighted regression is an important method, and the authors have developed and explained it well.' Peter Rogerson, Department of Geography, University at Buffalo, USA

'The realisation that almost any statistic can be made 'local', and that mapping the results almost always leads to greater insight is powering a revolution in spatial analysis. In particular, the localisation of standard regression models, or GWR, has led to important and powerful insights. This book, written by the team that has done most to develop it, makes this approach accessible for the first time under a single cover. It should be required reading for anyone involved with the analysis of spatially referenced data.' David Unwin, School of Geography, Birkbeck College London.
Price: $101.99 [Notify me when price goes down.]

When managers and ecologists need to make decisions about the environment, they use models to simulate the dynamic systems that interest them. All management decisions affect certain landscapes over time, and those landscapes are composed of intricate webs of dynamic processes that need to be considered in relation to each other. With widespread use of Geographic Information Systems (GIS), there is a growing need for complex models ncorporating an increasing amount of data. The open-source Spatial Modeling Environment (SME) was developed to build upon common modeling software, such as STELLA (R), and Powersim (R), among others, to create, run, analyze, and present spatial models of ecosystems, watersheds, populations, and landscapes. In this book, the creators of the Spatial Modeling Environment discuss and illustrate the uses of SME as a modeling tool for all kinds of complex spatial systems. The authors demonstrate the entire process of spatial modeling, beginning with the conceptual design, continuing through formal implementation and analysis, and finally with the interpretation and presentation of the results. A variety of applications and case studies address particular types of ecological and management problems and help to identify potential problems for modelers. Researchers and students interested in spatial modeling will learn how to simulate the complex dynamics of landscapes. Managers and decision makers will acquire tools for predicting changes in landscapes while learning about both the possibilities and the limitations of simulation models. The enclosed CD contains SME, color illustrations and models and data from the examples in the book..
Price: $52.49 [Notify me when price goes down.]

Intended for graduate students and researchers in physics, chemistry, biology, and applied mathematics, this book provides an up-to-date introduction to current research in fluctuations in spatially extended systems. It offers a practical introduction to the theory of stochastic partial differential equations and gives an overview of the effects of external noise on dynamical systems with spatial degrees of freedom.

The text begins with a general introduction to noise-induced phenomena in dynamical systems followed by an extensive discussion of analytical and numerical tools needed to get information from stochastic partial differential equations. It then turns to particular problems described by stochastic partial differential equations, covering a wide part of the rich phenomenology of spatially extended systems, such as nonequilibrium phase transitions, domain growth, pattern formation, and front propagation. The only prerequisite is a minimal background knowledge of the Langevin and Fokker-Planck equations..
Price: $62.62 [Notify me when price goes down.]

This handbook and ready reference covers materials science applications as well as microfluidic, biomedical and dental applications and the monitoring of physicochemical processes. It includes the latest in hardware, methodology and applications of spatially resolved magnetic resonance, such as portable imaging and single-sided spectroscopy.
For materials scientists, spectroscopists, chemists, physicists, and medicinal chemists..
Price: $215.00 [Notify me when price goes down.]