Spatial Coherence for Visual Motion Analysis

Advanced visual analysis and problem solving has been conducted successfully for millennia. The Pythagorean Theorem was proven using visual means more than 2000 years ago. In the 19th century, John Sn

This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Spatial Coherence for Visual Motion Analysis, 2004, held in May 2004. The eleven revised full rese

This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., iso

"Many theories in the social sciences predict spatial dependence or the similarity of behaviors at neighboring locations. Spatial Analysis for the Social Sciences demonstrates how researchers can diag

The aim of this book is to explore the challenges facing rural communities and economies and to demonstrate the potential of spatial microsimulation for policy and analysis in a rural context.This is

Interpreting Motion presents an integrated perspective on how language structures constrain concepts of motion and how the world shapes the way motion is linguistically expressed. Natural language all

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 lo

Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuse

"This book introduces myGeoffice.org, an innovative WWW platform for spatial analysis, where its architecture, interface, innovations and technical details are presented. It is designed primarily for

This work critically re-examines decades of work on the problem of Space from the traditional point of view, and offers a new perspective, based on the author's own extensive research on spatial data

R is a powerful open source computing tool that supports geographical analysis and mapping for the many geography and ‘non-geography’ students and researchers interested in spatial analysis and mappin

Creativity and design creativity in particular are being recognized as playing an increasing role in the social and economic wellbeing of a society. As a consequence creativity is becoming a focus of

Substantially updated, this self-contained second edition uses Bayesian hierarchical models in the analysis of spatial data. Three new chapters cover hierarchical models for point-process data with a

This book presents methods for estimating optical flow and scene flow motion with high accuracy, focusing on the practical application of these methods in camera-based driver assistance systems. Clear

the complete guide to adjusting for measurement error—expanded and updated no measurement is ever exact. Adjustment Computations updates a classic, definitive text on surveying with the late

What is the shortest route between one point and another in a road network? Where is the incidence of disease the highest? How does rainfall correlate with altitude? How does the concentration of a po

This Handbook summarizes, explains, and demonstrates the nature of current models, methods, and techniques for the analysis of spatial data. The book is designed to be a desk reference for all researc

Space is increasingly recognized as a legitimate factor that influences many processes and conceptual frameworks, including notions of spatial coherence and spatial heterogeneity that have been demons

At a time when strategic spatial planning is undergoing a renaissance in Europe, The Visual Language of Spatial Planning makes a unique contribution to this rapidly growing area of teaching and resear

At a time when strategic spatial planning is undergoing a renaissance in Europe, The Visual Language of Spatial Planning makes a unique contribution to this rapidly growing area of teaching and resear

Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatio-temporal data from areas such as epidemiology And environmental science has proven par

A comprehensive, data-driven introduction to modern spatial data analysis, a field which is playing an increasing role in many areas of research and policy making. Provides full explanations for a wid

This 1976 text is a pioneering study in the applications to archaeology of modern statistical and quantitative techniques. The authors show how these techniques, when sensitively employed, can dramatically extend and refine the information presented in distribution maps and other analyses of spatial relationships. Techniques of interpretation 'by inspection' can now be made more powerful and rigorous; at the same time interest has turned from the examination of such sites and artefacts as 'things' to the spatial relationships between such things, their relationships to one another and to landscape features, soils and other resources. This book was the first to apply the available techniques systematically to the special problems and interests of archaeologists. It also demonstrates to geographers and other social scientists who may be familiar with analogous applications in their own fields the exciting interdisciplinary developments this facilitates, for example in studies of exchange