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== A complete platform of LMDM software components == The 1Spatial platform is a complete set of LMDM software components, combining servers, portals, dashboards, software development kits, APIs, data connectors, business-focused applications and the patented 1Integrate rule engine. Its portfolio of products includes several items: * 1Integrate: the patented rules engine that conducts automated data validation, cleansing, transformation, enhancement and integration of spatial and non-spatial enterprise data. It ensures the data are up to the required standards and remain consistent across workflows, removes data silos and integrates the siloed data into single datasets, creating a single source of truth for data. 1Integrate automates the correction of invalid data and fixes geometric and attribution errors. It works with different formats and datastores, offering clients flexibility as their requirements change, and is scalable, growing with the client’s needs without affecting workflows. Ensuring that geospatial data meet required standards is crucial for business applications, which is where 1Integrate’s rules engine operates. For example, most location data fit in one of three categories: point (the tree is here), lines (roads or utility networks go from here to there) and polygons (this building is a shape with these dimensions). The standards for the data include no overlaps on boundary lines, that all polygons are closed and no gaps in the land or data. 1Integrate ensures that these standards are met. Facilities management projects such as those with a company like Google or IBM would run checks to ensure every room has a door, there are no desks in corridors or on top of walls and so on. Standards can be formal (eg NENA, a US 911 standard; MUDDI, used in the UK for projects like the National Underground Asset Register (NUAR) and the ‘Red Book’ for UK traffic management) or informal, set by companies based on their own operations. Whether it be formal or informal standards, 1Integrate ensures that they are met. * 1Integrate for ArcGIS: designed for the ArcGIS platform (an Esri product that developers can use to build mapping and spatial analysis applications), it provides automated data validation and enhancement. 1Integrate for ArcGIS is available on tools such as ArcGIS Server and ArcGIS Desktop and it allows clients to assess their data, making sure they meet specifications and fit the intended purpose. Moreover, it can perform data re-engineering tasks, including cleaning, transforming and creating new data from existing data assets. * 1Data Gateway: the self-service web portal for data validation, processing and analytics, applying 1Spatial’s rules-based approach for managing data. It is designed to be user friendly, as each process has defined and simple workflows that guide clients through project configuration or data delivery. As with 1Integrate, 1Data Gateway can scale up and achieve high performance, even under heavy client use, with the ability to add unlimited users. * 1Edit: allows clients to quickly validate and edit 2D and 2.5D (using 2D data to create what appears to be 3D or data with heights) spatial data with high levels of quality assurance. 1Edit helps ensure data are correctly aligned and connected and can automatically edit shared geometry. Moreover, it integrates well with the 1Spatial Management Suite, conducting the data editing step that is part of the overall management of location data. * 1Generalise: using a rules-based, automated data generalisation service, it automatically creates multiple smaller-scale data sources from large-scale data sources. This provides time and cost savings for clients when producing smaller-scale data products and enables clients to rapidly generate new data products by automating the product generation. * 1Spatial Management Suite: supports efficient and consistent planning, maintaining and publishing of client data, while automating their production workflows. This is a full end-to-end management suite covering the data workflow process, from the planning stages through delivery. It has a flexible, component-based structure that allows clients to customise how they interact with their data and manage data product creation. * 1Spatial LMAP: SPA’s location mobile app platform (LMAP) gives companies the ability to collect, edit and validate data in the field, trimming the need for extensive quality control checks at the central office. LMAP also takes a data agnostic approach, fully integrating with a variety of data sources. * FME: SPA is a Platinum Partner with Safe Software and reseller of the FME product portfolio, a data integration platform by Safe Software with products such as FME Desktop, FME Server, etc. The FME product is designed to translate and transform data between hundreds of different spatial and tabular formats, readying the data to be used, analysed, published and/or shared. '''3D market opportunity and 1Integrate 3D''' Consider how geospatial data have changed over the last several decades. In the 1980s, most 3D planning was done via CAD systems and focused on building planning and development. Simply capturing data was the primary focus, making the data ‘look good’ on paper or a presentation, while validation and quality checks were usually only done visually. Jumping forward to 2021, 3D data is much more integrated, expanding to national cityscapes and volumetric analysis. Instead of 2D, flat buildings that are merely a shell, 3D geospatial data allow users to determine the volumes and topologies of actual objects. 1Integrate 3D enables companies to manage 3D data alongside 2D/2.5D data in a single data environment. The use of 3D geospatial data is increasing, as companies transition from 2D and 2.5D. No longer are 3D data only seen in construction projects; they are now used by many entities for various other purposes, such as with national mapping agencies. A key first step in this move to 3D involves companies cleaning up their 2D and 2.5D data so they can be prepared for transitioning into the 3D format. In many cases data has been gathered from different agencies, land registries and emergency services and it may not be consistent from data source to data source. For instance, one group may consider a five-bedroom house as being a single flat, while another may view it as five flats, each with one bedroom. So, when emergency services are called to the location, there can be confusion over where the actual incident is occurring, which could lead to a delay in providing emergency medical treatment or stopping a crime. 1Spatial products can also help in situations where organisations are in the midst of developing 3D data. For instance, a firm may have 2D data and by estimating heights can infer what buildings that data goes with and then attempt to generate some initial 3D measurements. SPA can then come in and clean, validate and integrate that 3D information with existing data. In some countries, utilities are evaluating ways to charge rates based on the volume of the building and 3D data are needed to make this change. With its 1Integrate 3D platform, SPA is at the forefront of this expanding market. With the added complexity of 3D data, it is even more paramount that data quality and integration is ensured, which is where 1Integrate 3D comes into play. SPA’s 1Integrate 3D platform supports 3D data in its data stores, rules and actions, allowing automated inspection, validation and change detection. This enables customers to manage design facets such as sunlight available, noise propagation, heat loss, trench planning and building occupancy, whether it be in facilities, smart cities, or infrastructure planning. SPA can also help with creating some of the 3D data, such as implying building heights from aerial drones or photographs. Overall, we see the 3D market as still in development with organisations gathering and converting their data, with much of the growth likely two or three years away. 3D-associated revenues are less than 5% of total revenues and we do not forecast them as being a significant source of revenue for SPA until after 2022/23. However, once 3D data likely become the standard in the future (as 2D and 2.5D are today), it could become a significant source and driver of SPA’s revenues.
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