Linda Peters – författare

Census workers need to capture and analyze information at the finest geographic level with mobile and geospatial-based technology.

GIS and the 2020 Census: Modernizing Official Statistics guides statistical organizations with the most recent GIS methodologies and technological tools to support census workers’ needs at all the stages of a census. Learn how to plan and carry out census work with GIS using new technologies for field data collection and operations management. After planning and collecting data, apply innovative solutions for performing statistical analysis, data integration and dissemination. Additional topics cover cloud computing, big data, location as a Service (LaaS), and emerging data sources.

While GIS and the 2020 Census focuses on using GIS and other geospatial technology in support of census planning and operations, it also offers guidelines for building a statistical-geospatial information infrastructure in support of the 2020 Round of Censuses, evidence-based decision-making, and sustainable development.  Case studies illustrate concepts in practice.

Los trabajadores del censo necesitan capturar y analizar la información al nivel geográfico más preciso con tecnología móvil y geoespacial. SIG y el Censo de 2020: La modernización de las estadísticas oficiales proporciona a las organizaciones estadísticas las metodologías SIG y las herramientas tecnológicas más recientes para apoyar las necesidades de los trabajadores del censo en todas las etapas del mismo.

Les recenseurs doivent capturer et analyser les informations au niveau géographique le plus détaillé à l’aide des technologies mobiles et géospatiales. L’ouvrage SIG et recensement 2020 : modernisation des statistiques officielles propose aux organismes de statistique les méthodologies et les outils technologiques les plus récents dans le domaine des SIG pour répondre aux besoins des recenseurs à toutes les étapes d’un recensement.

This book explains the standard Real Options Analysis (ROA) literature in a straightforward, step by step manner without the use of complex mathematics. A lot of ROA literature is described through partial differential equations, probability density functions and simulation techniques, all of which may be unconvincing in the applicable qualities ROA possesses. Using this book, the reader will have a better grasp about how ROA works and will be able to provide his or her judgment about ROA, since all the basics, as well as its positive and negative qualities, are discussed.

Real Options Illustrated provides practitioners with a real options framework and encourages readers to study the methodology using the in-depth explanations. This introduction to ROA is sufficient to equip readers with ROA basics, enabling them to perform future independent research. From this book, readers can judge whether ROA is of any value to their field.