Standard

This document defines the conceptual framework and mechanisms for mapping information elements from Building Information Modelling (BIM) to Geographic Information Systems (GIS) to access the required information based on specific user requirements. The conceptual framework for mapping BIM information to GIS is defined with the following three mapping mechanisms: (1) BIM to GIS Perspective Definition (B2G PD); (2) BIM to GIS Element Mapping (B2G EM); (3) BIM to GIS LOD Mapping (B2G LM). This document does not describe physical schema integration or mapping between BIM and GIS models because the physical schema integration or mapping between two heterogeneous models is very complex and can cause a variety of ambiguity problems. Developing a unified information model between BIM and GIS is a desirable goal, but it is out of the scope of this document. The scope of this document includes the following:(1) definition for BIM to GIS conceptual mapping requirement description;(2) definition of BIM to GIS conceptual mapping framework and component; and(3) definition of mapping for export from one schema into another.The following concepts are outside the scope:(1) definition of any particular mapping application requirement and mechanism;(2) bi-directional mapping method between BIM and GIS;(3) definition of physical schema mapping between BIM and GIS; and(4) definition of coordinate system mapping between BIM and GIS.NOTE: For cases involving requirements related to Geo-referencing for providing the position and orientation of the BIM model based on GIS, there exist other standards such as ISO 19111 and the Information Delivery Manual (IDM) from buildingSMART on Geo-referencing BIM.

This document is the first of a family of standards. ISO/TS 19163-1:2016 classifies imagery and regularly spaced gridded thematic data into types based on attribute property, sensor type and spatial property, and defines an encoding-neutral content model for the required components for each type of data. It also specifies logical data structures and the rules for encoding the content components in the structures. The binding between the content and a specific encoding format will be defined in the subsequent parts of ISO 19163. ISO/TS 19163-1:2016 does not address LiDAR, SONAR data and ungeoreferenced gridded data. The logical data structures and the rules for encoding the content components will be addressed in the subsequent parts of ISO 19163.

This document is the first of a family of standards. ISO/TS 19159-1:2014 defines the calibration and validation of airborne and spaceborne remote sensing imagery sensors. The term _calibration_ refers to geometry, radiometry, and spectral, and includes the instrument calibration in a laboratory as well as in situ calibration methods. The validation methods address validation of the calibration information.

Under the stimulation of the concept of the metaverse, digital human is accelerating from technological innovation to industrial application. However, in the actual project implementation, most enterprises do not have the ability to directly develop and maintain digital human, so they often encounter the problems of high technical threshold, complex installation and deployment, and high management and maintenance cost. Therefore, there is a strong demand for reducing the cost of using digital human and simplifying the construction and operation and maintenance of digital human. By providing the service of creating, managing and maintaining enterprise-level digital human applications, digital human platform can help users reduce the development and use costs, and become an important way of digital human development, deployment, operation and maintenance. However, there are many kinds of digital human platforms on the market, and their quality is uneven. From service support to code implementation, there are huge differences. Therefore, the functionality, compatibility, reliability, scalability, time response, and ease of use of the platform need to be strictly tested and verified before large-scale deployment to the production environment. In addition, at present, the standard of requirement and test method of digital human platform is still blank. The purpose of this Recommendation is to provide technical guidance and technical specification support for the research and development, selection and testing of digital human platform, to achieve a fair, just, scientific and objective evaluation of digital human platform, and to promote the progress of digital human technology products. This Recommendation provides the requirements and evaluation methods for the digital human platform from the aspects of function, compatibility, reliability, scalability, time response, and ease of use.

This document is the first of a family of standards. ISO/TS 19150-1:2012 defines the framework for semantic interoperability of geographic information. This framework defines a high level model of the components required to handle semantics in the ISO geographic information standards with the use of ontologies.

This document is the first of a family of standards. This document defines XML based encoding rules for conceptual schemas specifying types that describe geographic resources. The encoding rules support the UML profile as used in the UML models commonly used in the standards developed by ISO/TC 211. The encoding rules use XML schema for the output data structure schema. The encoding rules described in this document are not applicable for encoding UML application schema for geographic features (see ISO 19136 for those rules).

ISO/TS 19129:2009 defines the framework for imagery, gridded and coverage data. This framework defines a content model for the content type imagery and for other specific content types that can be represented as coverage data. These content models are represented as a set of generic UML patterns for application schemas.

This document maps and describes the differences between GDF (ISO 20524 series), from ISO/TC 204, and conceptual models from the ISO 19100 family, from ISO/TC 211, and suggests ways to harmonize and resolve issues of conflict. Throughout this document, reference to GDF refers to GDF v5.1, ISO 20524-1 and ISO 20524-2, unless expressly identified otherwise. Where necessary, reference will be made to Part 1 or Part 2.

This document facilitates an understanding of the Ubiquitous Public Access (UPA) context information model, as defined in ISO 19154, to establish a UPA-to-Geographic Information (GI) environment. In addition, this document illustrates how the UPA context information model is designed and implemented to provide an air quality information service from a geographic information system (GIS)-based air quality information system. The UPA context information model for air quality information is only a sample of all possible examples to realize the UPA-to-GI that could satisfy the requirements of ISO 19154.

This Technical Report reviews the manner in which raster and gridded data is currently being handled in the Geomatics community in order to propose how this type of data should be supported by geographic information standards. This Technical Report identifies those aspects of imagery and gridded data that have been standardized or are being standardized in other ISO committees and external standards organizations, and that influence or support the establishment of raster and gridded data standards for geographic information. It also describes the components of those identified ISO and external imagery and gridded data standards that can be harmonized with the ISO 19100 series of geographic information/geomatics standards. A plan is presented for ISO/TC 211 to address imagery and gridded data in an integrated manner, within the ISO 19100 series of geographic information standards.

This document specifies the representation of latitude and longitude and optionally height or depth compatible with previous editions of ISO 6709. This document also supports the representations of other coordinate types and time that can be associated with those coordinates as defined through one or more coordinate reference systems (CRS). This document describes a text string of coordinates, suitable for electronic data exchange, for one point, including reference system identification to ensure that the coordinates unambiguously represent the position of that point. Files containing multiple points with a single common reference system identification are out of scope. This document also describes a simpler text string structure for coordinate representation of a point location that is more suitable for human readability.

This document is the first of a family of standards. This document supports the definition of:(1) Discrete Global Grid Systems (DGGS) core comprising: an RS using zonal identifiers with structured geometry, and functions providing import, export and topological query,(2) Common spatio-temporal classes for geometry, topology, RS using zonal identifiers, zonal identifiers and zones, based on ISO 19111 CRS. The spatio-temporal scope is constrained to: spatial elements that are invariant through all time, and temporal elements that are invariant across all space.(3) Equal-Area Earth Reference Systems (EAERSs) for Equal-Area Earth DGGS.