Theories And Methods Of Spatio Temporal Reasoning In Geographic Space

This volume collects the papers presented at the first international conference dedicated to spatial and temporal reasoning in geographic space, entitled "GIS: from space to territory - theories and methods of spatio-temporal reasoning". Within the National Center for Geographic Information and Analysis (NCGIA, one of the supporters of the conference) the importance of spatial and temporal reasoning was recognized several years ago. Initial research found that spatial reasoning in geographic or large-scale space is different from spatial reasoning in small-scale space, as usually dealt with in robotics and expertsystems. Temporal reasoning has attracted interest in the artificial intelligence community. The volume also includes two invited papers: "Do people understand spatial concepts: the case of first-order primtives" by R.G. Golledge, and "Temporal databases" by R.T. Snodgrass.

"This volume collects the papers presented at the first international conference dedicated to spatial and temporal reasoning in geographic space, entitled "GIS: from space to territory - theories and methods of spatio-temporal reasoning". Within the National Center for Geographic Information and Analysis (NCGIA, one of the supporters of the conference) the importance of spatial and temporal reasoning was recognized several years ago. Initial research found that spatial reasoning in geographic or large-scale space is different from spatial reasoning in small-scale space, as usually dealt with in robotics and expertsystems. Temporal reasoning has attracted interest in the artificial intelligence community. The volume also includes two invited papers: "Do people understand spatial concepts: the case of first-order primtives" by R.G. Golledge, and "Temporal databases" by R.T. Snodgrass."--PUBLISHER'S WEBSITE.

In an effort to further investigation into critical development facets of geographic information systems (GIS), this book explores the reasoning processes that apply to geographic space and time. As a result of an iniative sponsored by the National Center for Geographic Information and Analysis (NCGIA), it treats the computational, cognitive and social science applications aspects of spatial and temporal reasoning in GIS. Essays were contributed by scholars from a broad spectrum of disciplines including: geography, cartography, surveying and engineering, computer science, mathematics and environmental and cognitive psychology.

This volume collects the papers presented at the first international conference dedicated to spatial and temporal reasoning in geographic space, entitled "GIS: from space to territory - theories and methods of spatio-temporal reasoning". Within the National Center for Geographic Information and Analysis (NCGIA, one of the supporters of the conference) the importance of spatial and temporal reasoning was recognized several years ago. Initial research found that spatial reasoning in geographic or large-scale space is different from spatial reasoning in small-scale space, as usually dealt with in robotics and expertsystems. Temporal reasoning has attracted interest in the artificial intelligence community. The volume also includes two invited papers: "Do people understand spatial concepts: the case of first-order primtives" by R.G. Golledge, and "Temporal databases" by R.T. Snodgrass.

Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic phenomena. Secondly, geographical problems are often spatially separate (broken down into local or regional problems) and evolutionary algorithms can exploit this structure. Finally, the ability to store, manipulate, and visualize spatial data has increased to the point that space-time-attribute databases can be easily handled.

Space and time are inextricably linked. Reasoning about space often involves reasoning about change in spatial configurations. Qualitative spatial information theory encompasses spatial as well as temporal representation and reasoning. Qualitative Spatio-Temporal Representation and Reasoning: Trends and Future Directions is a contribution to the emerging discipline of qualitative spatial information theory within artificial intelligence. This collection of research covers both theory and application-centric research and provides a comprehensive perspective on the emerging area of qualitative spatio-temporal representation and reasoning. This revolutionary new field is increasingly becoming a core issue within mobile computing, GIS/spatial information systems, databases, computer vision as well as knowledge discovery and data mining.

A universal approach to the ontology of geographic space has already been, and is going to be, a comprehensive task for establishing more effective spatial models. The concept of a universal spatial ontology should be independent of location, culture, and time. It should be fundamental and universal in the same way that the number p defines the ratio between the diameter and the circumference of a circle. The term “universal” therefore means all-embracing and for general propose. Universal Ontology of Geographic Space: Semantic Enrichment for Spatial Data aims to escalate the current scope of research to support the development of semantically interoperable systems of geographic space. This reference will aid university lecturers and professors, students, researchers, developers of spatial applications.