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Environmental information systems are concerned with the management of data about the soil, the water, the air, and the species in the world around us. This is the first textbook on the topic. It presents a conceptual framework for environmental information systems by structuring the data flow into four phases: data capture, data storage, data analysis, and metadata management. This flow corresponds to a complex aggregation process during which the incoming raw date is gradually transformed into concise documents that can be used for high-level decision support. The book covers the concepts underlying this process, including statistical classification, data fusion, uncertainty management, knowledge based systems, GIS, spatial databases, multidimensional access methods, object-oriented databases, simulation models, and Internet-based information management. It also presents several case studies of environmental information systems in practice.

Information storage and retrieval systems --- Environmental sciences --- Sciences de l'environnement --- Data processing --- Informatique --- Environmental sciences. --- Data processing. --- Information storage and retrieval systems - Environmental sciences. --- Environmental sciences - Data processing. --- Database management. --- Geographical information systems. --- Application software. --- Environmental monitoring. --- Database Management. --- Environmental Science and Engineering. --- Geographical Information Systems/Cartography. --- Information Systems Applications (incl. Internet). --- Monitoring/Environmental Analysis. --- Biomonitoring (Ecology) --- Ecological monitoring --- Environmental quality --- Monitoring, Environmental --- Applied ecology --- Environmental engineering --- Pollution --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Geographical information systems --- GIS (Information systems) --- Environmental science --- Science --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Measurement --- Monitoring --- Geography

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Spatial database management has become an important subarea of current database research. Research in this area is often characterized by interdisciplinary cooperation: computer scientists work with geographers andenvironmental scientists to provide better access to spatial databases of steadily increasing size. After the First Symposium on Large Spatial Databases (SSD '89) was held in Santa Barbara, California, in 1989 (and its proceedings published as Volume 409 of this series), a second symposium (SSD'91) was held in Zurich, Switzerland. This proceedings volume contains the papers presented at SSD '91. Topics include spatial data models and access methods, performance studies, geometric algorithms, spatial query languages and user interfaces, geographic information systems, and object-oriented techniques.

681.3*H28 --- 681.3*A0 --- 681.3*I35 --- Database applications --- General --- Computational geometry and object modeling (Computer graphics) --- 681.3*I35 Computational geometry and object modeling (Computer graphics) --- 681.3*A0 General --- 681.3*H28 Database applications --- Geographic information systems --- Congresses --- Database management --- Data structures (Computer scienc. --- Geographical information systems. --- Computer science. --- Database management. --- Artificial intelligence. --- Data Structures and Information Theory. --- Geographical Information Systems/Cartography. --- Programming Techniques. --- Database Management. --- Data Storage Representation. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Informatics --- Science --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Geography

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Information systems for manufacturing often follow a three-layer architecture based on an enterprise resource planning (ERP) layer (for order planning), a manufacturing execution system (MES) layer (for factory control), and a shop floor layer (for machine control). Future requirements on flexibility and adaptability require a much closer integration of ERP systems with the manufacturing floor. To achieve this integration, an MES often pushes customer orders to the manufacturing floor in a flexible manner. Moreover, a large amount of shop floor data needs to be filtered and fed into business planning applications such as production planning or supply chain management. Radio Frequency Identification (RFID) chips can play an important role in the collection and management of such data. Günther, Kletti, and Kubach explain the potential advantages of using RFID technology in a modern manufacturing and supply chain context. Areas of emphasis include integration of RFID data into legacy IT architectures, RFID-MES-ERP integration, and cost-benefit considerations. Their presentation is not restricted to intra-company production planning, but also emphasizes the benefits of inter-company collaboration. Six case studies based on SAP’s ERP systems and MPDV’s MES solution show how to successfully implement cross-company supply chain integration using RFID technology.

Business logistics --- Production management --- Radio frequency identification systems. --- Data processing. --- Identification systems, Radio frequency --- RF/ID systems --- RFID systems --- Identification --- Radio telemetry --- Near-field communication --- Equipment and supplies --- Information technology. --- Industrial engineering. --- Production management. --- Information systems. --- IT in Business. --- Industrial and Production Engineering. --- Information Systems Applications (incl. Internet). --- Operations Management. --- Control, Robotics, Mechatronics. --- Computer Appl. in Administrative Data Processing. --- Manufacturing management --- Industrial management --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Business—Data processing. --- Production engineering. --- Application software. --- Control engineering. --- Robotics. --- Mechatronics. --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Manufacturing engineering --- Process engineering --- Industrial engineering

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Information systems for manufacturing often follow a three-layer architecture based on an enterprise resource planning (ERP) layer (for order planning), a manufacturing execution system (MES) layer (for factory control), and a shop floor layer (for machine control). Future requirements on flexibility and adaptability require a much closer integration of ERP systems with the manufacturing floor. To achieve this integration, an MES often pushes customer orders to the manufacturing floor in a flexible manner. Moreover, a large amount of shop floor data needs to be filtered and fed into business planning applications such as production planning or supply chain management. Radio Frequency Identification (RFID) chips can play an important role in the collection and management of such data. Günther, Kletti, and Kubach explain the potential advantages of using RFID technology in a modern manufacturing and supply chain context. Areas of emphasis include integration of RFID data into legacy IT architectures, RFID-MES-ERP integration, and cost-benefit considerations. Their presentation is not restricted to intra-company production planning, but also emphasizes the benefits of inter-company collaboration. Six case studies based on SAP's ERP systems and MPDV's MES solution show how to successfully implement cross-company supply chain integration using RFID technology.

Applied physical engineering --- Engineering sciences. Technology --- Office management --- Production management --- Information systems --- Computer. Automation --- procesautomatisering --- ICT (informatie- en communicatietechnieken) --- bedrijfseconomie --- RFID (radio frequentiële identificatie) --- informatica --- bedrijfsadministratie --- informatiesystemen --- productieorganisatie --- logistiek --- informatica management --- ingenieurswetenschappen --- regeltechniek

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Computer. Automation