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Modern tools, such as GIS and remote sensing, are increasingly used in the monitoring of agricultural resources. The developments in GIS technology offer growing opportunities to agricultural economics analysts dealing with large and detailed spatial databases, allowing them to combine spatial information from different sources and to produce different models. The availability of these valuable sources of information makes the advanced models suggested in the spatial statistic and econometric literature applicable to agricultural economics.
This book aims at supporting stakeholders to design spatial surveys for agricultural data and/or to analyse the geographically collected data.
This book attempts to describe the main typology of agricultural data and the most appropriate methods for the analysis, together with a detailed description of the available data sources and their collection methods. Topics such as spatial interpolation, point patterns, spatial autocorrelation, survey data analysis, small area estimation, regional data modelling, and spatial econometrics techniques are covered jointly with issues arising from the integration of several data types.
The theory of spatial methods is complemented by real and/or simulated examples implemented through the open-source software R.
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With a business baseline focused on the impact of embedded systems in the years ahead, the book investigates the Security, Privacy and Dependability (SPD) requirements raised from existing and future IoT, Cyber-Physical and M2M systems. It proposes a new approach to embedded systems SPD, the SHIELD philosophy, that relies on an overlay approach to SPD, on a methodology for composable SPD, on the use of semantics, and on the design of embedded systems with built-in SPD. The book explores new ground and illustrates the development of approximately forty prototypes capable of managing and enhancing SPD, including secure boot, trusted execution environments, adaptable radio interfaces, and different implementations of the middleware for measuring and composing SPD.
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In a world undergoing continuous change, organizations find themselves facing the challenge of how to keep innovating to stay competitive. Inside any organization, people are the cornerstone on which innovation rests and builds, yet it is ever more difficult to engage everyone in designing their organization. This book explores and discusses how employees can be engaged digitally to assist innovation initiatives and lead to organizational transformation.
Storymaking and Organizational Transformation is based on the research activities of the platform IDeaLs during the year 2020 and provides a perspective on how employees can be helped to understand and even contribute to organizational innovation spontaneously. The book contributes to advancing understanding of engagement from two main perspectives: first, the authors introduce an approach based on storymaking; second, six cases are studied in depth and the application of the digital storymaking approach is explained. The authors introduce new ways of organizing in a context of ongoing change, as they bring forth the idea that engagement is a continuous practice of designing meaningful narratives which connect people and evolve along with them.
The book will appeal to both academics and practitioners across management fields. Scholars of innovation management and organization sciences will benefit from the extensive review of organizational transformation and innovation from a sensemaking perspective, whilst the practical, case studies provide a valuable resource for practitioners looking to effect change and manage transformation.
432 kr
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In a world undergoing continuous change, organizations find themselves facing the challenge of how to keep innovating to stay competitive. Inside any organization, people are the cornerstone on which innovation rests and builds, yet it is ever more difficult to engage everyone in designing their organization. This book explores and discusses how employees can be engaged digitally to assist innovation initiatives and lead to organizational transformation.
Storymaking and Organizational Transformation is based on the research activities of the platform IDeaLs during the year 2020 and provides a perspective on how employees can be helped to understand and even contribute to organizational innovation spontaneously. The book contributes to advancing understanding of engagement from two main perspectives: first, the authors introduce an approach based on storymaking; second, six cases are studied in depth and the application of the digital storymaking approach is explained. The authors introduce new ways of organizing in a context of ongoing change, as they bring forth the idea that engagement is a continuous practice of designing meaningful narratives which connect people and evolve along with them.
The book will appeal to both academics and practitioners across management fields. Scholars of innovation management and organization sciences will benefit from the extensive review of organizational transformation and innovation from a sensemaking perspective, whilst the practical, case studies provide a valuable resource for practitioners looking to effect change and manage transformation.
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With a business baseline focused on the impact of embedded systems in the years ahead, the book investigates the Security, Privacy and Dependability (SPD) requirements raised from existing and future IoT, Cyber-Physical and M2M systems. It proposes a new approach to embedded systems SPD, the SHIELD philosophy, that relies on an overlay approach to SPD, on a methodology for composable SPD, on the use of semantics, and on the design of embedded systems with built-in SPD. The book explores new ground and illustrates the development of approximately forty prototypes capable of managing and enhancing SPD, including secure boot, trusted execution environments, adaptable radio interfaces, and different implementations of the middleware for measuring and composing SPD.
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IFIP TC6 / WG6.1 Third International Conference on Formal Methods for Open Object-Based Distributed Systems (FMOODS), February 15–18, 1999, Florence, Italy
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Modern tools, such as GIS and remote sensing, are increasingly used in the monitoring of agricultural resources. The developments in GIS technology offer growing opportunities to agricultural economics analysts dealing with large and detailed spatial databases, allowing them to combine spatial information from different sources and to produce different models. The availability of these valuable sources of information makes the advanced models suggested in the spatial statistic and econometric literature applicable to agricultural economics.
This book aims at supporting stakeholders to design spatial surveys for agricultural data and/or to analyse the geographically collected data.
This book attempts to describe the main typology of agricultural data and the most appropriate methods for the analysis, together with a detailed description of the available data sources and their collection methods. Topics such as spatial interpolation, point patterns, spatial autocorrelation, survey data analysis, small area estimation, regional data modelling, and spatial econometrics techniques are covered jointly with issues arising from the integration of several data types.
The theory of spatial methods is complemented by real and/or simulated examples implemented through the open-source software R.