For Advanced Database Topics courses taught in Computer Science departments and Advanced Geographic Information Systems courses taught in departments such as Geography, Natural Resources, Civil Engineering, Urban Planning, Transportation, Environmental Studies etc. This text helps students master various stages of spatial database design and implementation, introducing conceptual models (e.g., pictogram enhanced ERD), explaining query languages (e.g., OGIS, SQL3), and finally describing efficient implementations using query optimization and spatial indexes (e.g., R-trees). Aimed at students as well as professionals interested in spatial database and GIS, this text balances theory and practice to provide many firsts: extensive use of industry standard OGIS spatial data types, comprehensive coverage of emerging topics of spatial networks, and spatial data mining.
This book is devoted to the investigation of algebraic structure. The emphasis is on the algebraic nature of real automation, which appears as a natural three-sorted algebraic structure, that allows for a rich algebraic theory. Based on a general category position, fuzzy and stochastic automata are defined. The final chapter is devoted to a database automata model. Database is defined as an algebraic structure and this allows us to consider theoretical problems of databases. Almost all the material is new.
A Comprehensive Database of Tests on Axially Loaded Driven Piles in Sands reviews the critical need to develop better load-test databases for piles driven in sands. The key quality parameters, population of current entries and reporting formats are described before offering preliminary results obtained from comparisons between axial capacities calculated by various predictive approaches and site measurements. This book also shows that the "simplified" and "offshore" ICP and UWA variants proposed by some practitioners are over-conservative and that their use could be discontinued. The new pile capacity and stiffness database offers a broad scope for evaluating potential prediction biases relating to a wide range of soil and pile parameters. Submission of further high quality tests for inclusion in regularly updated versions is encouraged.
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