Urban green spaces are closely related to the abundance and biodiversity of birds by providing important habitats and together contribute to ecosystem health. This project aims to guide the University of British Columbia Botanical Garden to create Bird-friendly green spaces by using LiDAR data to analyze and map UBCBG's bird habitat suitability and create a 3D digital twin model of UBCBG in the open source game engine Minetest to increase 3D visualization and aid in landscape planning. By extracting the Canopy Height Model (CHM) using LiDAR data and performing individual tree segmentation, the derived metrics were used to identify trees with the highest bird habitat suitability index. The results showed that the suitability index ranges from -0.0016 to 0.5187, with a mean value of 0.2051. There are 68 trees with high suitability above the 0.4 intervals which have significance to bird populations and are worthy of being protected, accounting for only 3.38% of the total trees. They usually have a low vertical complexity index and foliage height diversity but are characterized by very tall trees with relatively large tree crowns. The Digital Elevation Model (DEM), Canopy Height Model (CHM) generated by LiDAR data were visualized in Minetest's UBCBG's 3D digital twin model using real terrain mod as topography and vegetation layers, while bird habitat suitability was used to symbolize the tree canopy layer. This study is highly relevant for landscape adaptation and planning in conjunction with other management considerations to support bird-friendly green spaces. The digital twin model can be used for educational and promotional purposes, and for landscape planning and aesthetic design with the consideration of bird conservation.

The Digital Bedrock Geologic-GIS Map of the Twin Bridges Quadrangle, Tennessee is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (twbr_bedrock_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (twbr_bedrock_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (obed_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (obed_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (twbr_bedrock_geology_metadata_faq.pdf). Please read the obed_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Tennessee Division of Geology. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (twbr_bedrock_geology_metadata.txt or twbr_bedrock_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The global 3D mapping and modeling market is expected to grow significantly in the next few years as demand increases for detailed and accurate representations of physical environments in three-dimensional space. Estimated to be valued at USD 38.62 billion in the year 2025, the market was expected to grow at a CAGR of 14.5% from 2025 to 2033 and was estimated to reach an amount of USD 90.26 billion by the end of 2033. The high growth rate is because of improvement in advanced technologies with the development of high-resolution sensors and methods of photogrammetry that make possible higher-resolution realistic and immersive 3D models.Key trends in the market are the adoption of virtual and augmented reality (VR/AR) applications, 3D mapping with smart city infrastructure, and increased architecture, engineering, and construction utilization of 3D models. Other factors are driving the growing adoption of cloud-based 3D mapping and modeling solutions. The solutions promise scalability, cost-effectiveness, and easy access to 3D data, thus appealing to business and organizations of all sizes. Recent developments include: Jun 2023: Nomoko (Switzerland), a leading provider of real-world 3D data technology, announced that it has joined the Overture Maps Foundation, a non-profit organization committed to fostering collaboration and innovation in the geospatial domain. Nomoko will collaborate with Meta, Amazon Web Services (AWS), TomTom, and Microsoft, to create interoperable, accessible 3D datasets, leveraging its real-world 3D modeling capabilities., May 2023: The Sanborn Map Company (Sanborn), an authority in 3D models, announced the development of a powerful new tool, the Digital Twin Base Map. This innovative technology sets a new standard for urban analysis, implementation of Digital Cities, navigation, and planning with a fundamental transformation from a 2D map to a 3D environment. The Digital Twin Base Map is a high-resolution 3D map providing unprecedented detail and accuracy., Feb 2023: Bluesky Geospatial launched the MetroVista, a 3D aerial mapping program in the USA. The service employs a hybrid imaging-Lidar airborne sensor to capture highly detailed 3D data, including 360-degree views of buildings and street-level features, in urban areas to create digital twins, visualizations, and simulations., Feb 2023: Esri, a leading global provider of geographic information system (GIS), location intelligence, and mapping solutions, released new ArcGIS Reality Software to capture the world in 3D. ArcGIS Reality enables site, city, and country-wide 3D mapping for digital twins. These 3D models and high-resolution maps allow organizations to analyze and interact with a digital world, accurately showing their locations and situations., Jan 2023: Strava, a subscription-based fitness platform, announced the acquisition of FATMAP, a 3D mapping platform, to integrate into its app. The acquisition adds FATMAP's mountain-focused maps to Strava's platform, combining with the data already within Strava's products, including city and suburban areas for runners and other fitness enthusiasts., Jan 2023: The 3D mapping platform FATMAP is acquired by Strava. FATMAP applies the concept of 3D visualization specifically for people who like mountain sports like skiing and hiking., Jan 2022: GeoScience Limited (the UK) announced receiving funding from Deep Digital Cornwall (DDC) to develop a new digital heat flow map. The DDC project has received grant funding from the European Regional Development Fund. This study aims to model the heat flow in the region's shallower geothermal resources to promote its utilization in low-carbon heating. GeoScience Ltd wants to create a more robust 3D model of the Cornwall subsurface temperature through additional boreholes and more sophisticated modeling techniques., Aug 2022: In order to create and explore the system's possibilities, CGTrader worked with the online retailer of dietary supplements Hello100. The system has the ability to scale up the generation of more models, and it has enhanced and improved Hello100's appearance on Amazon Marketplace.. Key drivers for this market are: The demand for 3D maps and models is growing rapidly across various industries, including architecture, engineering, and construction (AEC), manufacturing, transportation, and healthcare. Advances in hardware, software, and data acquisition techniques are making it possible to create more accurate, detailed, and realistic 3D maps and models. Digital twins, which are virtual representations of real-world assets or systems, are driving the demand for 3D mapping and modeling technologies for the creation of accurate and up-to-date digital representations.

. Potential restraints include: The acquisition and processing of 3D data can be expensive, especially for large-scale projects. There is a lack of standardization in the 3D mapping modeling industry, which can make it difficult to share and exchange data between different software and systems. There is a shortage of skilled professionals who are able to create and use 3D maps and models effectively.. Notable trends are: 3D mapping and modeling technologies are becoming essential for a wide range of applications, including urban planning, architecture, construction, environmental management, and gaming. Advancements in hardware, software, and data acquisition techniques are enabling the creation of more accurate, detailed, and realistic 3D maps and models. Digital twins, which are virtual representations of real-world assets or systems, are driving the demand for 3D mapping and modeling technologies for the creation of accurate and up-to-date digital representations..

Spatial digital twins are rapidly gaining significance in today's technology-driven world, becoming a focal point in discussions about urban planning, infrastructure management, and environmental sustainability. As cities grow and evolve, the need for accurate, real-time representations of physical spaces has never been more critical. These digital replicas enable stakeholders to visualize, analyze, and simulate various scenarios, leading to more informed decision-making. Many organizations are interested in building their own digital twin of the city, campus, facility, construction site, mining operation, windfarm etc.

We included how the framework is implemented and the results of data analysis in our paper.

Digital Twin in Construction Market Outlook

According to our latest research, the global Digital Twin in Construction market size in 2024 stands at USD 4.21 billion, reflecting the rapid adoption of advanced digital technologies within the construction sector. The market is experiencing robust expansion, with a CAGR of 34.7% projected from 2025 to 2033. By the end of 2033, the Digital Twin in Construction market is expected to reach USD 54.73 billion. This impressive growth trajectory is primarily driven by increasing investments in smart infrastructure, the rising demand for real-time monitoring and predictive maintenance, and the growing integration of IoT and AI technologies within construction workflows.

One of the most significant growth factors in the Digital Twin in Construction market is the escalating emphasis on optimizing asset performance and lifecycle management. Construction companies and asset owners are increasingly recognizing the value of digital twin technology in reducing operational costs, enhancing project efficiency, and minimizing downtime. The ability to create a virtual replica of physical assets enables stakeholders to simulate, predict, and analyze performance in real-time, facilitating proactive decision-making and risk mitigation. This trend is further accelerated by the need to comply with stringent building regulations and sustainability standards, which digital twins help address through advanced analytics and data-driven insights.

Additionally, the surge in urbanization and the proliferation of smart city initiatives are propelling the adoption of digital twin solutions across the construction landscape. Governments and private developers are investing heavily in modernizing infrastructure, leveraging digital twins to improve planning, design, and maintenance of complex projects such as transportation networks, commercial buildings, and public utilities. The integration of digital twin technology with Building Information Modeling (BIM) and Geographic Information Systems (GIS) is unlocking new efficiencies, enabling seamless collaboration among architects, engineers, and contractors. This collaborative ecosystem is fostering innovation, reducing project delays, and ensuring higher quality outcomes.

The increasing convergence of cloud computing, artificial intelligence, and Internet of Things (IoT) technologies is another pivotal driver for the Digital Twin in Construction market. Cloud-based platforms are making digital twin solutions more accessible and scalable, allowing organizations to manage vast amounts of data generated by sensors and connected devices on construction sites. AI-driven analytics are enhancing predictive maintenance capabilities, enabling early detection of potential issues and extending the lifespan of critical assets. As a result, construction firms are able to achieve greater operational resilience, improve safety standards, and deliver projects on time and within budget, which is further fueling market expansion.

From a regional perspective, North America continues to lead the global Digital Twin in Construction market, supported by a mature technology ecosystem and significant investments in smart infrastructure. However, Asia Pacific is rapidly emerging as a high-growth region, driven by large-scale urban development projects, government-led digital transformation initiatives, and the rising adoption of cloud-based construction technologies. Europe also holds a substantial market share, with a strong focus on sustainability and regulatory compliance. Meanwhile, Latin America and the Middle East & Africa are witnessing steady adoption, particularly in commercial and infrastructure projects, as stakeholders seek to enhance efficiency and competitiveness in a dynamic construction environment.

Component Analysis

The Digital Twin in Construction market is segmented by component into Software and Services, each playing a pivotal role in the deployment and utilization of digital twin solutions. The software segment encompasses platforms and applications that enable the creation, visualization, and management of digital twins, while services include consulting, integration, maintenance, and support. In 2024, the software segment dominates the market, accounting for a significant share due to the increasing demand for robust, scalable, and user-friendly solutions that facilitate real-time data integratio

Grid Digital Twin Interoperability Market Outlook

According to our latest research, the global Grid Digital Twin Interoperability market size reached USD 1.87 billion in 2024, and is anticipated to grow at a robust CAGR of 27.4% through the forecast period. By 2033, the market is projected to attain a value of USD 13.52 billion. This impressive growth trajectory is primarily driven by the increasing adoption of digital twins to optimize grid operations, support renewable integration, and enhance real-time monitoring capabilities across utility infrastructures worldwide.

One of the primary growth factors for the Grid Digital Twin Interoperability market is the global shift toward renewable energy integration and the modernization of aging grid infrastructures. As renewable energy sources such as solar and wind become more prevalent, grid systems face unprecedented complexity and variability. Digital twins, which are virtual representations of physical grid assets and systems, offer utilities the ability to simulate, predict, and optimize grid performance in real-time. The demand for interoperability between different digital twin solutions and existing grid management systems is surging, as utilities seek seamless data exchange, improved decision-making, and reduced operational risks. This trend is further fueled by regulatory mandates for grid reliability and resilience, which require advanced analytics and predictive maintenance capabilities.

Another significant driver is the rapid digital transformation across the energy and power sector, coupled with advancements in IoT, AI, and cloud computing technologies. The proliferation of smart sensors and connected devices within grid networks generates vast volumes of data, necessitating interoperable digital twin platforms capable of aggregating, analyzing, and visualizing this information in real-time. Utilities and grid operators are increasingly investing in software and services that support the integration of digital twins with SCADA systems, GIS mapping, and other critical applications. This convergence of technologies not only enhances operational efficiency but also enables proactive asset management, improved outage response, and better forecasting of grid behavior under various scenarios.

Additionally, the growing emphasis on sustainability, decarbonization, and energy efficiency is compelling utilities and industrial stakeholders to adopt digital twin interoperability solutions. With governments worldwide introducing stringent emission reduction targets and incentivizing smart grid deployments, organizations are leveraging digital twins to optimize energy flows, minimize losses, and extend asset lifecycles. The interoperability of digital twins across diverse hardware and software environments ensures that stakeholders can realize the full potential of their digital investments, facilitating collaborative planning, streamlined workflows, and enhanced stakeholder engagement. This holistic approach to grid management is expected to remain a key growth lever throughout the forecast period.

Regionally, North America and Europe are at the forefront of the Grid Digital Twin Interoperability market, driven by substantial investments in grid modernization, advanced metering infrastructure, and renewable energy integration. The Asia Pacific region is also witnessing rapid adoption, particularly in countries like China, Japan, and India, where large-scale grid expansion and urbanization are creating new opportunities for digital twin deployment. Latin America and the Middle East & Africa are gradually catching up, as utilities in these regions embark on digital transformation journeys to address grid reliability and sustainability challenges. Overall, the global landscape is characterized by a growing convergence of technology providers, utilities, and regulatory bodies working together to promote interoperable, data-driven grid management solutions.

Component Analysis

The Component segment of the Grid Digital T

Digital Twin Natural Gas Network Market Outlook

According to our latest research, the global Digital Twin Natural Gas Network market size reached USD 1.42 billion in 2024, reflecting robust adoption across utility and industrial sectors. The market is expected to grow at a remarkable CAGR of 13.8% from 2025 to 2033, reaching a forecasted value of USD 4.16 billion by 2033. This impressive growth trajectory is driven by the increasing need for real-time asset monitoring, network optimization, and predictive maintenance in the natural gas industry, as companies seek to enhance operational efficiency, minimize downtime, and comply with stringent safety regulations.

The primary growth factor for the Digital Twin Natural Gas Network market is the rising demand for advanced digital solutions that enable seamless integration between physical assets and their digital counterparts. As natural gas networks become increasingly complex and geographically dispersed, operators are leveraging digital twin technology to gain a comprehensive, real-time understanding of their infrastructure. This technology allows for the simulation and analysis of network behavior under varying conditions, facilitating proactive decision-making and rapid response to anomalies. The shift toward Industry 4.0 and the Internet of Things (IoT) further amplifies the adoption of digital twins, as organizations strive to harness big data analytics and artificial intelligence for predictive maintenance and optimized asset performance.

Another significant driver is the growing emphasis on regulatory compliance and environmental sustainability. Governments and regulatory bodies worldwide are imposing stricter safety and environmental standards on natural gas operations, compelling companies to adopt innovative technologies for enhanced monitoring and risk management. Digital twin solutions offer unparalleled visibility into pipeline integrity, leak detection, and emissions management, enabling organizations to meet regulatory requirements while minimizing environmental impact. Additionally, the integration of digital twins with Geographic Information Systems (GIS) and Supervisory Control and Data Acquisition (SCADA) systems provides a holistic approach to network management, further boosting market growth.

The rapid advancement of cloud computing and edge technologies is also accelerating the deployment of digital twins in natural gas networks. Cloud-based platforms provide scalable and cost-effective solutions for data storage, processing, and analytics, making digital twin technology accessible to a broader range of end-users, including small and medium-sized enterprises. Edge computing, on the other hand, enables real-time data processing at the source, reducing latency and enhancing the responsiveness of digital twin applications. This technological synergy not only improves operational efficiency but also supports the integration of renewable energy sources and distributed generation, paving the way for a more resilient and flexible natural gas infrastructure.

Regionally, North America dominates the Digital Twin Natural Gas Network market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The strong presence of major utility companies, advanced digital infrastructure, and supportive government initiatives drive market growth in these regions. However, the Asia Pacific market is expected to witness the fastest CAGR during the forecast period, fueled by rapid urbanization, expanding energy demand, and significant investments in smart grid technologies. Latin America and the Middle East & Africa are also emerging as promising markets, supported by ongoing infrastructure development and increasing awareness of the benefits of digital transformation.

Component Analysis

The component segment of the Digital Twin Natural Gas Network market is categorized into Software, Hardware, and Services<

Digital Twin Bridge Market Outlook

According to our latest research, the global Digital Twin Bridge market size in 2024 stands at USD 1.34 billion, reflecting the rapid adoption of digital twin technologies across infrastructure sectors. The market is experiencing a robust compound annual growth rate (CAGR) of 32.7% and is forecasted to reach USD 14.3 billion by 2033. This remarkable growth trajectory is primarily driven by the rising demand for advanced infrastructure monitoring and predictive maintenance solutions, particularly in the wake of increasing investments in smart city development and aging bridge infrastructure worldwide.

One of the most significant growth factors for the Digital Twin Bridge market is the escalating need for real-time monitoring and predictive analytics to ensure the safety and longevity of bridges. As bridges across the globe age, the risk of structural failures and costly maintenance rises, prompting governments and private stakeholders to seek innovative solutions. Digital twin technology enables the creation of virtual replicas of physical bridges, allowing for continuous data collection and advanced analysis. This capability not only enhances decision-making regarding maintenance schedules but also helps in identifying potential issues before they escalate into critical failures. The integration of IoT sensors and AI-driven analytics further amplifies the value proposition, making digital twins indispensable for modern bridge asset management.

Another key driver fueling market expansion is the surge in smart city initiatives and infrastructure modernization projects, particularly in developed economies. Urbanization trends have placed immense pressure on city planners and engineers to optimize existing infrastructure and ensure seamless transportation networks. Digital twins play a crucial role in these initiatives by providing actionable insights for design optimization, resource allocation, and lifecycle management. The technology’s ability to simulate various scenarios, such as load testing or disaster response, empowers stakeholders to proactively address vulnerabilities and enhance public safety. Furthermore, the integration of digital twins with Building Information Modeling (BIM) and Geographic Information Systems (GIS) creates a holistic approach to infrastructure management, further propelling market growth.

The proliferation of cloud computing and advancements in edge computing technologies have also been instrumental in expanding the Digital Twin Bridge market. Cloud-based deployment models facilitate seamless data integration from disparate sources, enabling large-scale implementation and collaboration among stakeholders. This shift to cloud infrastructure not only reduces upfront costs but also accelerates deployment timelines and enhances scalability. Additionally, the growing ecosystem of service providers offering tailored digital twin solutions has lowered barriers to adoption, making the technology accessible to a broader range of end-users, including smaller municipalities and private infrastructure owners. As a result, the market is witnessing increased penetration across various applications, from design and engineering to asset management and simulation.

Regionally, North America continues to dominate the Digital Twin Bridge market, driven by substantial investments in infrastructure renewal and technological innovation. The United States, in particular, has emerged as a frontrunner, leveraging federal infrastructure funding and public-private partnerships to deploy digital twin solutions at scale. Europe follows closely, with countries such as Germany, the United Kingdom, and France spearheading smart infrastructure projects. Meanwhile, Asia Pacific is poised for exponential growth, fueled by rapid urbanization, government-led digitalization initiatives, and significant infrastructure spending in countries like China, Japan, and India. This dynamic regional landscape underscores the global relevance and transformative potential of digital twin technology in bridge management.

Component Analysis

The Digital Twin Bridge market is segmented by component into software, hardware, and services, each playing a vital role in the overall ecosystem. The software segment holds the largest share, primarily due to the sophisticated simulation, modeling, and analytics platforms that form the backbone of digital twin solutio

Data sample to be used with Automation BIM to BSLPK - stage 1 notebook. See this blog for more information.

Digital Twin Road Network Market Outlook

According to our latest research, the global Digital Twin Road Network market size stood at USD 1.31 billion in 2024, and is anticipated to reach USD 12.6 billion by 2033, growing at a robust CAGR of 28.7% during the forecast period from 2025 to 2033. This remarkable growth is primarily driven by the increasing adoption of digital twin technologies for smarter infrastructure management, urban planning, and advanced traffic solutions, as cities and governments worldwide seek to enhance operational efficiency, sustainability, and safety in road networks.

The surge in the Digital Twin Road Network market can be attributed to the rapid proliferation of smart city initiatives and the critical need for real-time, data-driven decision-making in urban infrastructure. Governments and municipal authorities are increasingly leveraging digital twins to create virtual replicas of road networks, enabling comprehensive monitoring and predictive maintenance. This technology empowers stakeholders to simulate various traffic scenarios, optimize asset utilization, and reduce operational costs. Furthermore, the integration of IoT sensors, AI, and machine learning algorithms with digital twin platforms has made it possible to gather granular data, thus enhancing the accuracy of simulations and forecasts. With urban populations swelling and traffic congestion becoming a pressing issue, digital twin solutions are emerging as indispensable tools for sustainable urban mobility.

Another key growth driver for the Digital Twin Road Network market is the escalating demand for infrastructure resilience and proactive asset management. Aging roadways, bridges, and tunnels present significant maintenance challenges, particularly in developed regions. Digital twin technology facilitates continuous monitoring of infrastructure health, enabling early detection of defects, wear and tear, and potential points of failure. This predictive capability not only extends the lifespan of assets but also minimizes the risk of catastrophic failures and costly repairs. The ability to visualize and analyze infrastructure data in real time supports informed decision-making, ensuring that maintenance resources are allocated efficiently and effectively. As a result, transportation agencies and construction companies are increasingly investing in digital twin solutions to enhance infrastructure reliability and safety.

The accelerated digital transformation across the transportation and logistics sectors further propels the growth of the Digital Twin Road Network market. The seamless integration of digital twins with existing traffic management systems, GIS platforms, and enterprise asset management tools has unlocked new opportunities for end-users to optimize route planning, reduce congestion, and improve overall mobility. The adoption of cloud-based deployment models has also democratized access to digital twin technology, making it feasible for small and medium-sized municipalities to implement these solutions without substantial upfront investments in hardware or IT infrastructure. The convergence of 5G connectivity, edge computing, and advanced analytics is expected to further enhance the capabilities and scalability of digital twin road networks in the coming years.

Regionally, North America and Europe currently lead the Digital Twin Road Network market, owing to their advanced infrastructure, high technology adoption rates, and robust investment in smart city projects. However, the Asia Pacific region is witnessing the fastest growth, driven by rapid urbanization, government-led digitalization initiatives, and significant investments in transportation infrastructure. Countries such as China, Japan, and Singapore are at the forefront of deploying digital twin technologies to address urban mobility challenges and improve road safety. Meanwhile, Latin America and the Middle East & Africa are gradually embracing digital twin solutions, supported by international collaborations and public-private partnerships aimed at modernizing infrastructure and enhancing urban sustainability.

The Digital Geologic-GIS Map of the Twin Rocks 7.5' Quadrangle, Utah is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (twro_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (twro_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (care_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (care_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (twro_geology_metadata_faq.pdf). Please read the care_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Utah Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (twro_geology_metadata.txt or twro_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The Digital Geologic-GIS Map of parts of the Twin Peaks and Blanco Peak Quadrangles, Colorado is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (tpbp_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (tpbp_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (grsa_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (grsa_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (tpbp_geology_metadata_faq.pdf). Please read the grsa_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (tpbp_geology_metadata.txt or tpbp_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Leveraging GenAI to navigate and operate Digital Twins applications

The global construction mapping services market is experiencing robust growth, driven by the increasing adoption of advanced technologies like drones, LiDAR, and GIS in the construction industry. The market's expansion is fueled by the need for precise and efficient site surveying, improved project planning and management, enhanced safety protocols, and reduced project costs and delays. Several key trends are shaping the market: the rising preference for 3D modeling and digital twins for better visualization and coordination, the integration of Building Information Modeling (BIM) with mapping data for seamless workflows, and the increasing demand for real-time data acquisition and analysis for informed decision-making. The market is segmented by surveying type (aerial and terrestrial) and application (before, during, and after construction). Aerial surveying, particularly using drones, is gaining significant traction due to its cost-effectiveness, speed, and ability to capture detailed data from challenging terrains. The "during construction" application segment is witnessing strong growth as contractors leverage mapping data to monitor progress, identify potential issues, and ensure compliance with project specifications. While the market exhibits substantial growth potential, certain restraints exist. High initial investment costs associated with acquiring and maintaining sophisticated equipment can be a barrier to entry for smaller firms. Data security and privacy concerns related to handling sensitive project information also pose challenges. Furthermore, regulatory hurdles and the need for skilled professionals proficient in data processing and interpretation can impact market growth in some regions. However, ongoing technological advancements and increasing government investments in infrastructure projects are expected to mitigate these restraints. The competition is intense, with both large multinational corporations and specialized surveying firms vying for market share. The market is geographically diverse, with North America and Europe currently holding significant shares but the Asia-Pacific region showing the strongest growth potential due to rapid urbanization and infrastructure development. By 2033, the market is projected to achieve substantial expansion, driven by continuous advancements in technology and the increasing reliance on data-driven decision-making within the construction sector. We estimate the market to reach a value of approximately $15 billion by 2033 assuming a conservative CAGR of 8%, considering the growth factors and restraints.

Biodiversity objects are to date almost absent from the BIM world. Developing the biodiversity theme in the BIM environment offers unexplored research opportunities with strong impact at the same time for biodiversity and transport infrastructure management. Efficient mainstreaming of biodiversity in transport infrastructure would require the GIS, BIM, Digital Twin dedicated software interoperability.

City planning departments are increasingly adding digital deliveries to their workflow requirements—especially for 3D digital models (BIM). City planners, architects, engineers, and stakeholders can simulate, analyze, and visualize a city's infrastructure by integrating these plans with real-world data before physical construction starts. This allows better decision-making, improves collaboration among multidisciplinary teams, and enhances the overall efficiency and sustainability of urban development. This shift toward data-driven, integrated urban planning is reshaping how cities grow, ensuring they are more sustainable, livable, and future-proof. As urban populations continue to rise, the use of BIM in city planning will be pivotal in creating cities that can effectively address new challenges.

Digital Twin Water Utility Market Outlook

According to our latest research, the global Digital Twin Water Utility market size reached USD 1.47 billion in 2024, and the market is expected to grow at a robust CAGR of 11.6% during the forecast period. By 2033, the market is forecasted to reach USD 4.11 billion. This remarkable growth is primarily driven by the increasing need for real-time water management, asset optimization, and the adoption of smart technologies by water utilities worldwide.

The rapid urbanization and population growth across the globe have significantly increased the demand for efficient water management solutions. The Digital Twin Water Utility market is benefiting from this trend, as utilities face mounting pressure to minimize water loss, optimize resource allocation, and ensure uninterrupted supply. Digital twin technology enables utilities to create dynamic, real-time digital replicas of entire water systems, allowing for predictive analytics, improved decision-making, and proactive maintenance. The integration of IoT sensors, AI, and advanced analytics within digital twins further enhances their capability to monitor, simulate, and manage water networks. This convergence of technologies is a key driver propelling the market’s expansion.

Another major growth factor for the Digital Twin Water Utility market is the increasing regulatory focus on water quality, sustainability, and infrastructure resilience. Governments and regulatory bodies in both developed and developing economies are mandating stricter compliance with environmental standards and encouraging the modernization of water infrastructure. Digital twins offer utilities the ability to monitor water quality in real time, predict potential contamination events, and ensure compliance with regulations. Moreover, the technology supports utilities in meeting sustainability goals by optimizing energy consumption, reducing leaks, and minimizing non-revenue water. These regulatory and sustainability imperatives are compelling utilities to invest in advanced digital solutions, further boosting market growth.

The growing adoption of cloud computing and advancements in data integration are also fueling the Digital Twin Water Utility market. Cloud-based digital twin platforms provide scalability, flexibility, and cost-effectiveness, making them accessible to utilities of all sizes. The ability to aggregate and analyze vast amounts of data from disparate sources—such as SCADA systems, GIS, and IoT devices—enables utilities to gain holistic insights into their operations. This data-driven approach not only enhances operational efficiency but also facilitates the deployment of predictive maintenance strategies, asset lifecycle management, and real-time network optimization. As digital transformation accelerates across the water sector, the adoption of digital twin technology is expected to become increasingly mainstream.

Regionally, North America and Europe are leading the adoption of digital twin solutions in the water utility sector, driven by advanced infrastructure, high investment in smart technologies, and stringent regulatory frameworks. However, the Asia Pacific region is emerging as a high-growth market due to rapid urbanization, increasing investments in water infrastructure, and government initiatives to improve water resource management. Countries such as China, India, and Australia are witnessing significant deployments of digital twin technology in municipal and industrial water utilities. The Middle East & Africa and Latin America are also showing promising growth, supported by efforts to modernize water infrastructure and address water scarcity challenges. Overall, the global market is poised for sustained expansion, with significant opportunities across both developed and emerging regions.

Component Analysis

The Digital Twin Water Utility market is segmented by component into software, hardware, and services. The software segment currently dominates the market, owing to the critical role o

Delineation of flooded areas obtained from SAR images (COSMO-Sky Med / Sentinel-1) for selected case studies occurred in Massa, Vilanova i la Geltrù and Oasoladea. These maps were use in SCORE WP 8 to validate the effectiveness of a Digital Twin of the three cities developped in SCORE.

Deliverable 8.11 titled 'Early warning and spatial Digital Twin Assessment Report'

The Indoor and Outdoor Space Information Visualization Technology market is experiencing robust growth, driven by increasing demand for efficient space management, improved navigation, and enhanced safety in various sectors. The market, estimated at $5 billion in 2025, is projected to exhibit a healthy Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $15 billion by 2033. Key drivers include the expanding adoption of smart city initiatives, the growing popularity of location-based services (LBS), and the increasing need for real-time data analytics in diverse applications such as retail, healthcare, and logistics. The military and commercial sectors are currently leading the market, fueled by the need for advanced situational awareness and optimized resource allocation. However, the civil and other sectors are expected to witness significant growth in the coming years driven by increasing adoption of smart building technologies and digital twin solutions. The market is segmented by application (military, commercial, civil, others) and type (imaging positioning, non-imaging positioning), with imaging positioning currently holding a larger market share due to its ability to provide detailed visual information. Technological advancements, such as the development of more accurate and cost-effective sensors, and the integration of artificial intelligence (AI) and machine learning (ML) for data analysis, are further accelerating market growth. Despite these positive trends, challenges such as high initial investment costs and concerns around data privacy and security could potentially restrain market expansion. The geographical distribution of the market reveals strong growth across North America and Europe, driven by early adoption of advanced technologies and robust infrastructure development. However, the Asia-Pacific region is expected to emerge as a significant growth driver in the future, fueled by rapid urbanization, increasing government investments in infrastructure projects, and rising adoption of smart city technologies. Companies like Beijing OceanEco Technology, Wh-FSO, and Mapsted are key players shaping the market landscape through continuous innovation and strategic partnerships. The competitive dynamics are characterized by a blend of established players and emerging technology providers, leading to increased product diversification and innovation within the space information visualization technology landscape. Future growth will be driven by the increasing integration of 5G networks, the Internet of Things (IoT), and advancements in augmented reality (AR) and virtual reality (VR) technologies to enhance user experience and create immersive visualizations.