Download Free Spatial Search Book in PDF and EPUB Free Download. You can read online Spatial Search and write the review.

Spatial database management deals with the storage, indexing, and querying of data with spatial features, such as location and geometric extent. Many applications require the efficient management of spatial data, including Geographic Information Systems, Computer Aided Design, and Location Based Services. The goal of this book is to provide the reader with an overview of spatial data management technology, with an emphasis on indexing and search techniques. It first introduces spatial data models and queries and discusses the main issues of extending a database system to support spatial data. It presents indexing approaches for spatial data, with a focus on the R-tree. Query evaluation and optimization techniques for the most popular spatial query types (selections, nearest neighbor search, and spatial joins) are portrayed for data in Euclidean spaces and spatial networks. The book concludes by demonstrating the ample application of spatial data management technology on a wide range of related application domains: management of spatio-temporal data and high-dimensional feature vectors, multi-criteria ranking, data mining and OLAP, privacy-preserving data publishing, and spatial keyword search. Table of Contents: Introduction / Spatial Data / Indexing / Spatial Query Evaluation / Spatial Networks / Applications of Spatial Data Management Technology
Complex systems analysis has become a fascinating topic in modern research on non-linear dynamics, not only in the physical sciences but also in the life sciences and the social sciences. After the era of bifurcation theory, chaos theory, syn- getics, resilience analysis, network dynamics and evolutionary thinking, currently we observe an increasing interest in critical transitions of dynamic real-world systems in many disciplines, such as demography, biology, psychology, economics, earth sciences, geology, seismology, medical sciences, and so on. The relevance of this approach is clearly re?ected in such phenomena as traf?c congestion, ?nancial crisis, ethnic con?icts, eco-system breakdown, health failures, etc. This has prompted a world-wide interest in complex systems. Geographical space is one of the playgrounds for complex dynamics, as is witnessed by population movements, transport ?ows, retail developments, urban expansion, lowland ?ooding and so forth. All such dynamic phenomena have one feature in common: the low predictability of uncertain interrelated events occurring at different interconnected spatio-temporal scale levels and often originating from different disciplinary backgrounds. The study of the associated non-linear (fast and slow) dynamic transition paths calls for a joint research effort of scientists from different disciplines in order to understand the nature, the roots and the con- quences of unexpected or unpredictable changes in complex spatial systems.
This volume emphasizes the applications and implications of the Geospatial Web and the role of contextual knowledge in shaping the emerging network society. There is a clear focus on applied geospatial aspects. The book has contributions from a very active research community. Containing chapters from renowned researchers and practitioners, this volume will be invaluable to all interested in this field.
Modern applications are both data and computationally intensive and require the storage and manipulation of voluminous traditional (alphanumeric) and nontraditional data sets (images, text, geometric objects, time-series). Examples of such emerging application domains are: Geographical Information Systems (GIS), Multimedia Information Systems, CAD/CAM, Time-Series Analysis, Medical Information Sstems, On-Line Analytical Processing (OLAP), and Data Mining. These applications pose diverse requirements with respect to the information and the operations that need to be supported. From the database perspective, new techniques and tools therefore need to be developed towards increased processing efficiency. This monograph explores the way spatial database management systems aim at supporting queries that involve the space characteristics of the underlying data, and discusses query processing techniques for nearest neighbor queries. It provides both basic concepts and state-of-the-art results in spatial databases and parallel processing research, and studies numerous applications of nearest neighbor queries.
Originally published in 1982, this book contains research in the area of econometric modelling in the housing market, including that which has extended to the use of search models. The subjects covered include the importance of racial differences, spatial aspects of residential search and information provision and its effect on the behaviour of the buyers. The combination of careful analytic modelling, empirical testing and speculative discussions of the role of agents in the search process provides an innovative and imaginative approach to the interesting problems of understanding the individual behaviour in complex contexts such as the urban housing market.
This book is for developers who already know how to use Solr and are looking at procuring advanced strategies for improving their search using Solr. This book is also for people who work with analytics to generate graphs and reports using Solr. Moreover, if you are a search architect who is looking forward to scale your search using Solr, this is a must have book for you. It would be helpful if you are familiar with the Java programming language.
This book presents the index and query techniques on road network and moving objects which are limited to road network. Here, the road network of non-Euclidean space has its unique characteristics such that two moving objects may be very close in a straight line distance. The index used in two-dimensional Euclidean space is not always appropriate for moving objects on road network. Therefore, the index structure needs to be improved in order to obtain suitable indexing methods, explore the shortest path and acquire nearest neighbor query and aggregation query methods under the new index structures. Chapter 1 of this book introduces the present situation of intelligent traffic and index in road network, Chapter 2 introduces the relevant existing spatial indexing methods. Chapter 3-5 focus on several issues of road network and query, they involves: traffic road network models (see Chapter 3), index structures (see Chapter 4) and aggregate query methods (see Chapter 5). Finally, in Chapter 6, the book briefly describes the applications and the development of intelligent transportation in the future.
In 1996, the Los Angeles Bus Riders Union, a grassroots advocacy organization, won a historic legal victory against the city’s Metropolitan Transit Authority. The resulting consent decree forced the MTA for a period of ten years to essentially reorient the mass transit system to better serve the city’s poorest residents. A stunning reversal of conventional governance and planning in urban America, which almost always favors wealthier residents, this decision is also, for renowned urban theorist Edward W. Soja, a concrete example of spatial justice in action. In Seeking Spatial Justice, Soja argues that justice has a geography and that the equitable distribution of resources, services, and access is a basic human right. Building on current concerns in critical geography and the new spatial consciousness, Soja interweaves theory and practice, offering new ways of understanding and changing the unjust geographies in which we live. After tracing the evolution of spatial justice and the closely related notion of the right to the city in the influential work of Henri Lefebvre, David Harvey, and others, he demonstrates how these ideas are now being applied through a series of case studies in Los Angeles, the city at the forefront of this movement. Soja focuses on such innovative labor–community coalitions as Justice for Janitors, the Los Angeles Alliance for a New Economy, and the Right to the City Alliance; on struggles for rent control and environmental justice; and on the role that faculty and students in the UCLA Department of Urban Planning have played in both developing the theory of spatial justice and putting it into practice. Effectively locating spatial justice as a theoretical concept, a mode of empirical analysis, and a strategy for social and political action, this book makes a significant contribution to the contemporary debates about justice, space, and the city.
This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.
An introduction to the principles of unified georeferencing, which uses placename and geospatial referencing interchangeably across all types of information storage and retrieval systems. Georeferencing--relating information to geographic location--has been incorporated into today's information systems in various ways. We use online services to map our route from one place to another; science, business, and government increasingly use geographic information systems (GIS) to hold and analyze data. Most georeferenced information searches using today's information systems are done by text query. But text searches for placenames fall short--when, for example, a place is known by several names (or by none). In addition, text searches don't cover all sources of geographic data; maps are traditionally accessed only through special indexes, filing systems, and agency contacts; data from remote sensing images or aerial photography is indexed by geospatial location (mathematical coordinates such as longitude and latitude). In this book, Linda Hill describes the advantages of integrating placename-based and geospatial referencing, introducing an approach to "unified georeferencing" that uses placename and geospatial referencing interchangeably across all types of information storage and retrieval systems. After a brief overview of relevant material from cognitive psychology on how humans perceive and respond to geographic space, Hill introduces the reader to basic information about geospatial information objects, concepts of geospatial referencing, the role of gazetteer data, the ways in which geospatial referencing has been included in metadata structures, and methods for the implementation of geographic information retrieval (GIR). Georeferencing will be a valuable reference for librarians, archivists, scientific data managers, information managers, designers of online services, and any information professional who deals with place-based information.