The integration of building information modeling (BIM) and geographic information systems (GIS) develops innovative spatial intelligence. BIM provides detailed representations of built environments, while GIS captures the geographical and environmental context in which these structures exist. When combined, these systems enable a seamless flow of spatial information, from individual buildings to entire cities, enhancing decision-making in urban planning, infrastructure management, and sustainable development. This convergence fosters a more holistic understanding of spatial relationships, supporting smarter, data-driven approaches to design, construction, and governance in an interconnected world. Building Information Modeling and Geographic Information Systems for Next-Generation Spatial Intelligence explores the convergence of BIM and GIS in the field of urban planning. It examines how the integration of these tools revolutionizes the design, analysis, and management of urban environments for smarter, more sustainable cities. This book covers topics such as data science, civil engineering, and environmental science, and is a useful resource for engineers, policymakers, academicians, researchers, and scientists.
"Sinopsis" puede pertenecer a otra edición de este libro.
Mohamed Sobih Aly Mekawy is an Associate Professor at Stockholm University with more than 20 years of experience in academia and the university–industry landscape. His expertise centers on the cognitive aspects of Human–Computer Interaction (HCI) within Geographic Information Systems (GIS) and Building Information Modelling (BIM). His research portfolio also extends to Business–IT Alignment and IT Governance, reflecting a strong academic foundation and a comprehensive understanding of these interconnected fields. Dr. Mekawy has extensive experience teaching, conducting, and publishing across a wide range of research methodologies, with particular emphasis on qualitative, mixed-methods, and design-based research. His instructional approach is shaped by decades of practical application and scholarly inquiry, creating a rich and well-rounded learning environment for his students. In addition to his academic work, Dr. Mekawy brings more than 15 years of professional field experience in the design, development, and technical support of GIS applications. He has led numerous projects that draw on his technical skills and innovative problem-solving abilities, consistently contributing to enhanced project outcomes and advancements in the field.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798337340593
Cantidad disponible: Más de 20 disponibles
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798337340593
Cantidad disponible: Más de 20 disponibles
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. The integration of building information modeling (BIM) and geographic information systems (GIS) develops innovative spatial intelligence. BIM provides detailed representations of built environments, while GIS captures the geographical and environmental context in which these structures exist. When combined, these systems enable a seamless flow of spatial information, from individual buildings to entire cities, enhancing decision-making in urban planning, infrastructure management, and sustainable development. This convergence fosters a more holistic understanding of spatial relationships, supporting smarter, data-driven approaches to design, construction, and governance in an interconnected world. Building Information Modeling and Geographic Information Systems for Next-Generation Spatial Intelligence explores the convergence of BIM and GIS in the field of urban planning. It examines how the integration of these tools revolutionizes the design, analysis, and management of urban environments for smarter, more sustainable cities. This book covers topics such as data science, civil engineering, and environmental science, and is a useful resource for engineers, policymakers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798337340593
Cantidad disponible: 1 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. The integration of building information modeling (BIM) and geographic information systems (GIS) develops innovative spatial intelligence. BIM provides detailed representations of built environments, while GIS captures the geographical and environmental context in which these structures exist. When combined, these systems enable a seamless flow of spatial information, from individual buildings to entire cities, enhancing decision-making in urban planning, infrastructure management, and sustainable development. This convergence fosters a more holistic understanding of spatial relationships, supporting smarter, data-driven approaches to design, construction, and governance in an interconnected world. Building Information Modeling and Geographic Information Systems for Next-Generation Spatial Intelligence explores the convergence of BIM and GIS in the field of urban planning. It examines how the integration of these tools revolutionizes the design, analysis, and management of urban environments for smarter, more sustainable cities. This book covers topics such as data science, civil engineering, and environmental science, and is a useful resource for engineers, policymakers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798337340593
Cantidad disponible: 1 disponibles
Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Building Information Modeling and Geographic Information Systems for Next-Generation Spatial Intelligence | Mohamed Sobih Aly El Mekawy | Taschenbuch | Englisch | 2025 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337340593 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 134375312
Cantidad disponible: 5 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The integration of building information modeling (BIM) and geographic information systems (GIS) develops innovative spatial intelligence. BIM provides detailed representations of built environments, while GIS captures the geographical and environmental context in which these structures exist. When combined, these systems enable a seamless flow of spatial information, from individual buildings to entire cities, enhancing decision-making in urban planning, infrastructure management, and sustainable development. This convergence fosters a more holistic understanding of spatial relationships, supporting smarter, data-driven approaches to design, construction, and governance in an interconnected world. Building Information Modeling and Geographic Information Systems for Next-Generation Spatial Intelligence explores the convergence of BIM and GIS in the field of urban planning. It examines how the integration of these tools revolutionizes the design, analysis, and management of urban environments for smarter, more sustainable cities. This book covers topics such as data science, civil engineering, and environmental science, and is a useful resource for engineers, policymakers, academicians, researchers, and scientists. Nº de ref. del artículo: 9798337340593
Cantidad disponible: 2 disponibles