This book covers fundamental aspects of spatial data modelling specifically on the aspect of three-dimensional (3D) modelling and structuring. Realisation of "true" 3D GIS spatial system needs a lot of effort, and the process is taking place in various research centres and universities in some countries. The development of spatial data modelling for 3D objects is the focus of this book.

Urban spaces are being called upon to develop a capacity for resilience and sustainability in order to meet the major challenges they face. To achieve such a goal, a practical development framework must be implemented in order to take advantage of the technological innovations that characterize the field of construction and urban engineering. Today, multi-scale BIM is bringing about significant changes that are redefining the paradigms of urban management. It facilitates simulations of the sustainability of urban spaces with respect to several criteria; most notably relating to energy, the economy and the environment. Building Information Modeling for a Smart and Sustainable Urban Space proposes a theoretical and practical framework for implementing BIM models for the creation of sustainable and intelligent urban spaces. It addresses the issues of acquisition, modeling, interoperability, and BIM and GIS integration for the production of BIM models. Case studies are presented, providing a practical dimension that demonstrates the production process of the urban model and its contribution to multiscale simulations, particularly in real estate evaluation and urban renewal.

Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. - Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography - Provides an overview, methods and case studies for each application - Expresses concepts and methods at an appropriate level for both students and new users to learn by example

This book presents a model for the integration of spatial information for 3D Geo-Information Systems (3D-GISs). Former Geo-Information Systems are restricted to 2D space. They execute the integration of spatial information by conversion of vector and raster representations. This, however, leads to conceptual difficulties because of the totally different paradigms. After an introduction to the history and architecture of Geo-Information Systems this book examines spatial representations in 2D and 3D space regarding their suitability in 3D-GISs. A three-level notion of space serves as a basis of a model for the integration of spatial information. It likewise takes into account the geometry, metrics and the topology of geo-objects.

Building information modelling (BIM) uses a combination of technologies and resources to capture, manage, analyse, and display a digital representation of the physical and functional characteristics of a facility. A Geographic Information System (GIS) offers tools for visualising and analysing built and natural environments and their impacts on infrastructure systems, such as land use, transportation, etc. This book offers a framework for how the geospatial and surveying industry can create and integrate BIM with GIS. Through practical implementation methods, readers will learn to merge GIS data with design and BIM data to enable digital twins. This book presents the following features: Integrates BIM and GIS from a geospatial and surveying point of view for the first time; Addresses the creation of BIM from existing constructed buildings instead of typical pre-construction scenarios; Explains how to deliver BIM-suitable surveys to surveyors and geospatial practitioners; Provides surveying and geospatial industry expertise in the collecting, locating, managing, and communicating of BIM; Introduces new knowledge on the validation and integration of BIM and GIS within the spatial industry. This is an excellent book for professionals working with 3D data for built-environment digital twins, such as city planners, land surveyors, and geospatial practitioners. It is also an insightful resource for those working and studying in the fields of GIS, surveying, and geospatial engineering, providing the most current tools and resources for dealing with BIM.