A Guide to the Role of Standards in Geospatial Information Management
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AS/NZS ISO 6709:2011 ISO 6709:2008 ISO 6709:2008 Cor.1 (2009) AS/NZS ISO 6709:2011 AS/NZS ISO 6709:2011
AS/NZS ISO 6709:2011 ISO 6709:2008 ISO 6709:2008 Cor.1 (2009) AS/NZS ISO 6709:2011AS/NZS ISO Australian/New Zealand Standard™ Standard representation of geographic point location by coordinates AS/NZS ISO 6709:2011 This Joint Australian/New Zealand Standard was prepared by Joint Technical Committee IT-004, Geographical Information/Geomatics. It was approved on behalf of the Council of Standards Australia on 15 November 2011 and on behalf of the Council of Standards New Zealand on 14 November 2011. This Standard was published on 23 December 2011. The following are represented on Committee IT-004: ANZLIC—The Spatial Information Council Australasian Fire and Emergency Service Authorities Council Australian Antarctic Division Australian Hydrographic Office Australian Map Circle CSIRO Exploration and Mining Department of Lands, NSW Department of Primary Industries and Water, Tas. Geoscience Australia Land Information New Zealand Mercury Project Solutions Office of Spatial Data Management The University of Melbourne Keeping Standards up-to-date Standards are living documents which reflect progress in science, technology and systems. To maintain their currency, all Standards are periodically reviewed, and new editions are published. Between editions, amendments may be issued. Standards may also be withdrawn. It is important that readers assure themselves they are using a current Standard, which should include any amendments which may have been published since the Standard was purchased. Detailed information about joint Australian/New Zealand Standards can be found by visiting the Standards Web Shop at www.saiglobal.com.au or Standards New Zealand web site at www.standards.co.nz and looking up the relevant Standard in the on-line catalogue. -
FGDC Standards Program
FGDC Standards Program Presented by Julie Binder Maitra To ISO Standards in Action Workshop November 16, 2013 1 Topics Policies guiding FGDC standards program FGDC Participation in Non-Federal Standards Bodies Recent FGDC standards activities Update of Chapter 10 of SDI Cookbook Policies guiding FGDC standards program OMB Circular A-16 and supplemental guidance call for development of standards for NSDI data themes OMB Circular A-119 Directs Federal agencies to use “voluntary consensus standards” in lieu of government-unique standards whenever possible Directs Federal agencies to participate in voluntary consensus standards bodies Policies guiding FGDC Standards Program FGDC Policy on Recognition of Non-Federally Authored Geographic Information Standards and Specifications Although Circulars A-16 and A-119 direct the use of non-Federally developed standards, they do not define a mechanism for the identification, selection, and coordinated implementation of non- Federally developed standards. The FGDC Policy enables a fast track to FGDC endorsement of external standards, as standards have already been vetted through a rigorous standards development process. FGDC Participation in Non-Federal Standards Bodies International International Organization for Standardization (ISO) ISO Technical Committee 211 National ISO member body InterNational Committee for American National Standards Information Technology Institute (ANSI) Standards (INCITS) /JAG INCITS Technical Committee L1 MoU Are members of Federal Defense and Intelligence Communities Federal Geographic Data Geospatial Intelligence Committee (FGDC) member Working Group (GWG) agencies Are members of Open Geospatial Consortium (OGC) Recent FGDC standards activities In 2010, the FGDC endorsed 64 Non-Federally Authored Geospatial Standards, in support of the Geospatial Platform. Standards included: De facto standards Standards developed through voluntary consensus standards bodies such as ANSI, ISO, and OGC. -
Mapping Spatiotemporal Data to RDF: a SPARQL Endpoint for Brussels
International Journal of Geo-Information Article Mapping Spatiotemporal Data to RDF: A SPARQL Endpoint for Brussels Alejandro Vaisman 1, * and Kevin Chentout 2 1 Instituto Tecnológico de Buenos Aires, Buenos Aires 1424, Argentina 2 Sopra Banking Software, Avenue de Tevuren 226, B-1150 Brussels, Belgium * Correspondence: [email protected]; Tel.: +54-11-3457-4864 Received: 20 June 2019; Accepted: 7 August 2019; Published: 10 August 2019 Abstract: This paper describes how a platform for publishing and querying linked open data for the Brussels Capital region in Belgium is built. Data are provided as relational tables or XML documents and are mapped into the RDF data model using R2RML, a standard language that allows defining customized mappings from relational databases to RDF datasets. In this work, data are spatiotemporal in nature; therefore, R2RML must be adapted to allow producing spatiotemporal Linked Open Data.Data generated in this way are used to populate a SPARQL endpoint, where queries are submitted and the result can be displayed on a map. This endpoint is implemented using Strabon, a spatiotemporal RDF triple store built by extending the RDF store Sesame. The first part of the paper describes how R2RML is adapted to allow producing spatial RDF data and to support XML data sources. These techniques are then used to map data about cultural events and public transport in Brussels into RDF. Spatial data are stored in the form of stRDF triples, the format required by Strabon. In addition, the endpoint is enriched with external data obtained from the Linked Open Data Cloud, from sites like DBpedia, Geonames, and LinkedGeoData, to provide context for analysis. -
Standards and Guidelines for Cadastral Surveys Using GPS
Table of Contents Foreword ........................................................................................................................................ 3 Part One: Standards for Positional Accuracy ................................................................................ 4 Part Two: GPS Survey Guidelines ................................................................................................ 5 Section One: Field Data Acquisition Methods Section Two: Field Survey Operations and Procedures Cadastral Project Control Cadastral Measurements Section Three: Data Processing and Analysis Section Four: Project Documentation Appendix A: Definitions ............................................................................................................. 16 Appendix B: Computation of Accuracies ................................................................................... 18 Appendix C: References ............................................................................................................. 19 Attachment 1-2 Foreword These Standards and Guidelines provide guidance to the Government cadastral surveyor and other land surveyors in the use of Global Positioning System (GPS) technology to perform Public Land Survey System (PLSS) surveys of the Public Lands of the United States of America. Many sources were consulted during the preparation of this document. These sources included other GPS survey standards and guidelines, technical reports and manuals. Opinions and reviews were also sought from public and -
National Spatial Reference System: "Positioning Changes for 2022"
National Spatial Reference System “Positioning Changes for 2022” Civil GPS Service Interface Committee Meeting Miami, Florida September 24, 2018 Denis Riordan, PSM NOAA, National Geodetic Survey [email protected] U.S. Department of Commerce National Oceanic & Atmospheric Administration National Geodetic Survey Mission: To define, maintain & provide access to the National Spatial Reference System (NSRS) to meet our Nation’s economic, social & environmental needs National Spatial Reference System * Latitude * Scale * Longitude * Gravity * Height * Orientation & their variations in time U. S. Geometric Datums in 2022 National Spatial Reference System (NSRS) Improvements in the Horizontal Datums TIME NETWORK METHOD NETWORK SPAN ACCURACY OF REFERENCE NAD 27 1927-1986 10 meter (1 part in 100,000) TRAVERSE & TRIANGULATION - GROUND MARKS USED FOR NAD83(86) 1986-1990 1 meter REFERENCING (1 part THE in 100,000) NSRS. NAD83(199x)* 1990-2007 0.1 meter GPS B- orderBECOMES (1 part THE in MEANS 1 million) OF POSITIONING – STILL GRND MARKS. HARN A-order (1 part in 10 million) NAD83(2007) 2007 - 2011 0.01 meter 0.01 meter GPS – CORS STATIONS ARE MEANS (CORS) OF REFERENCE FOR THE NSRS. NAD83(2011) 2011 - 2022 0.01 meter 0.01 meter (CORS) NSRS Reference Basis Old Method - Ground Current Method - GNSS Stations Marks (Terrestrial) (CORS) Why Replace NAD83? • Datum based on best known information about the earth’s size and shape from the early 1980’s (45 years old), and the terrestrial survey data of the time. • NAD83 is NON-geocentric & hence inconsistent w/GNSS . • Necessary for agreement with future ubiquitous positioning of GNSS capability. Future Geometric (3-D) Reference Frame Blueprint for 2022: Part 1 – Geometric Datum • Replace NAD83 with new geometric reference frame – by 2022. -
Contributing to the Getty Vocabularies (2020)
Contributing to the Getty Vocabularies Revised May 2020 Patricia Harpring Managing Editor Getty Vocabulary Program Patricia Harpring Contributing to the Getty Vocabularies revised 13 May 2020 1 Table of Contents • Contributing to ULAN ….76 • Preface ….3 • ...Required Fields ….82 • What Are the Getty Vocabularies …5 • ...Sources ….99 • Basics for Contributions ….18 • Contributing to TGN ….103 • ...Who Contributes? ….19 • ...Required Fields ….109... • ...Processing Contributions ….21 • Sources ….122 • ...Criteria for Contributions ….23 • Contributing to CONA ….128 • ...XML: Mapping Your Data ….30 • ...Required Fields ….134 • …Spreadsheet: use OpenRefine...33 • ...Sources ….156 • …Online contribution form …35 • Contributing to the IA ….163 • Contributing to the AAT ….36 • ...Required Fields ….168 • ...Required Fields ….42 • ...Sources ….181 • ...Sources ...68 • Exercise ……. 188 Contributing to the Getty Vocabularies Patricia Harpring Contributing to the Getty Vocabularies revised 13 May 2020 2 Preface • This presentation is a brief overview of general issues surrounding contributions to the Getty Vocabularies • It includes examples of various issues surrounding contributions; it is not comprehensive Getty Vocabularies • The complex and extensive rules and examples surrounding the fields are not included in this presentation • For extensive guidance concerning rules and issues, in a field‐by‐field discussion, see the online • For general information about contributions and Getty Vocabulary Editorial Guidelines, which contain links to contribution -
A Review of Openstreetmap Data Peter Mooney* and Marco Minghini† *Department of Computer Science, Maynooth University, Maynooth, Co
CHAPTER 3 A Review of OpenStreetMap Data Peter Mooney* and Marco Minghini† *Department of Computer Science, Maynooth University, Maynooth, Co. Kildare, Ireland, [email protected] †Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy Abstract While there is now a considerable variety of sources of Volunteered Geo- graphic Information (VGI) available, discussion of this domain is often exem- plified by and focused around OpenStreetMap (OSM). In a little over a decade OSM has become the leading example of VGI on the Internet. OSM is not just a crowdsourced spatial database of VGI; rather, it has grown to become a vast ecosystem of data, software systems and applications, tools, and Web-based information stores such as wikis. An increasing number of developers, indus- try actors, researchers and other end users are making use of OSM in their applications. OSM has been shown to compare favourably with other sources of spatial data in terms of data quality. In addition to this, a very large OSM community updates data within OSM on a regular basis. This chapter provides an introduction to and review of OSM and the ecosystem which has grown to support the mission of creating a free, editable map of the whole world. The chapter is especially meant for readers who have no or little knowledge about the range, maturity and complexity of the tools, services, applications and organisations working with OSM data. We provide examples of tools and services to access, edit, visualise and make quality assessments of OSM data. We also provide a number of examples of applications, such as some of those How to cite this book chapter: Mooney, P and Minghini, M. -
Part 1- Timeseries
OGC WaterML 2.0 OGC 10-126r4 Open Geospatial Consortium Approval Date: 2012-06-23 Publication Date: 2014-02-24 Reference number of this OGC® project document: OGC 10-126r4 OGC name of this OGC® project document: http://www.opengis.net/doc/IS/waterml/2.0.1 Version: 2.0.1 Category: OGC® Implementation Standard - Corrigendum Editor: Peter Taylor OGC® WaterML 2.0: Part 1- Timeseries Copyright notice Copyright © 2012-2014 Open Geospatial Consortium To obtain additional rights of use, visit http://www.opengeospatial.org/legal/. Notice This document is an OGC Member approved international standard. This document is available on a royalty free, non-discriminatory basis. Recipients of this document are invited to submit, with their comments, notification of any relevant patent rights of which they are aware and to provide supporting documentation. Document type: OGC® Implementation Standard - Corrigendum Document subtype: Encoding Document stage: Approved for Public Release Document language: English OGC 10-126r4 WaterML 2.0 License Agreement Permission is hereby granted by the Open Geospatial Consortium, ("Licensor"), free of charge and subject to the terms set forth below, to any person obtaining a copy of this Intellectual Property and any associated documentation, to deal in the Intellectual Property without restriction (except as set forth below), including without limitation the rights to implement, use, copy, modify, merge, publish, distribute, and/or sublicense copies of the Intellectual Property, and to permit persons to whom the Intellectual Property is furnished to do so, provided that all copyright notices on the intellectual property are retained intact and that each person to whom the Intellectual Property is furnished agrees to the terms of this Agreement. -
Opengis Web Feature Services for Editing Cadastral Data
OpenGIS Web Feature Services for editing cadastral data Analysis and practical experiences Master of Science thesis T.J. Brentjens Section GIS Technology Geodetic Engineering Faculty of Civil Engineering and Geosciences Delft University of Technology OpenGIS Web Feature Services for editing cadastral data Analysis and practical experiences Master of Science thesis Thijs Brentjens Professor: prof. dr. ir. P.J.M. van Oosterom (Delft University of Technology) Supervisors: drs. M.E. de Vries (Delft University of Technology) drs. C.W. Quak (Delft University of Technology) drs. C. Vijlbrief (Kadaster) Delft, April 2004 Section GIS Technology Geodetic Engineering Faculty of Civil Engineering and Geosciences Delft University of Technology The Netherlands Het Kadaster Apeldoorn The Netherlands i ii Preface Preface This thesis is the result of the efforts I have put in my graduation research project between March 2003 and April 2004. I have performed this research part-time at the section GIS Technology of TU Delft in cooperation with the Kadaster (the Dutch Cadastre), in order to get the Master of Science degree in Geodetic Engineering. Typing the last words for this thesis, I have been realizing more than ever that this thesis marks the end of my time as a student at the TU Delft. However, I also realize that I have been working to this point with joy. Many people are “responsible” for this, but I’d like to mention the people who have contributed most. First of all, there are of course people who were directly involved in the research project. Peter van Oosterom had many critical notes and - maybe even more important - the ideas born out of his enthusiasm improved the entire research. -
Understanding and Working with the OGC Geopackage Keith Ryden Lance Shipman Introduction
Understanding and Working with the OGC Geopackage Keith Ryden Lance Shipman Introduction - Introduction to Simple Features - What is the GeoPackage? - Esri Support - Looking ahead… Geographic Things 3 Why add spatial data to a database? • The premise: - People want to manage spatial data in association with their standard business data. - Spatial data is simply another “property” of a business object. • The approach: - Utilize the existing SQL data access model. - Define a simple geometry object. - Define well known representations for passing structured data between systems. - Define a simple metadata schema so applications can find the spatial data. - Integrate support for spatial data types with commercial RDBMS software. Simple Feature Model 10 area1 yellow Feature Table 11 area2 green 12 area3 Blue Feature 13 area4 red Geometry Feature Attribute • Feature Tables contain rows (features) sharing common properties (Feature Attributes). • Geometry is a Feature Attribute. Database Simple Feature access Query Connection model based on SQL Cursor Value Geometry Type 1 Type 2 Spatial Geometry (e.g. string) (e.g. number) Reference Data Access Point Line Area Simple Feature Geometry Geometry SpatialRefSys Point Curve Surface GeomCollection LineString Polygon MultiSurface MultiPoint MultiCurve Non-Instantiable Instantiable MultiPolygon MultiLineString Some of the Major Standards Involved • ISO 19125, Geographic Information - Simple feature access - Part 1: common architecture - Part 2: SQL Option • ISO 13249-3, Information technology — Database -
Array Databases: Concepts, Standards, Implementations
Baumann et al. J Big Data (2021) 8:28 https://doi.org/10.1186/s40537-020-00399-2 SURVEY PAPER Open Access Array databases: concepts, standards, implementations Peter Baumann , Dimitar Misev, Vlad Merticariu and Bang Pham Huu* *Correspondence: b. Abstract phamhuu@jacobs-university. Multi-dimensional arrays (also known as raster data or gridded data) play a key role in de Large-Scale Scientifc many, if not all science and engineering domains where they typically represent spatio- Information Systems temporal sensor, image, simulation output, or statistics “datacubes”. As classic database Research Group, Jacobs technology does not support arrays adequately, such data today are maintained University, Bremen, Germany mostly in silo solutions, with architectures that tend to erode and not keep up with the increasing requirements on performance and service quality. Array Database systems attempt to close this gap by providing declarative query support for fexible ad-hoc analytics on large n-D arrays, similar to what SQL ofers on set-oriented data, XQuery on hierarchical data, and SPARQL and CIPHER on graph data. Today, Petascale Array Database installations exist, employing massive parallelism and distributed processing. Hence, questions arise about technology and standards available, usability, and overall maturity. Several papers have compared models and formalisms, and benchmarks have been undertaken as well, typically comparing two systems against each other. While each of these represent valuable research to the best of our knowledge there is no comprehensive survey combining model, query language, architecture, and practical usability, and performance aspects. The size of this comparison diferentiates our study as well with 19 systems compared, four benchmarked to an extent and depth clearly exceeding previous papers in the feld; for example, subsetting tests were designed in a way that systems cannot be tuned to specifcally these queries. -
Download a Java Program from the Registry That Uses XSLT to Convert Sensorml files Into KML files
MXC-L071 An SOA Approach to Sensor Services A Major Qualifying Project Report submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE in partial fufillment of the requirements for the Degree of Bachelor of Science by Keith Craig and Brett Levasseur Professor Michael J. Ciaraldi, Project Advisor This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its web site without editorial or peer review. Abstract The purpose of this project is to demonstrate the use of Semantic Web design and Service Oriented Architecture principles to make sensor information and data readily accessible to clients across the Internet. This project produced a set of XML files that described sensors, defined an ontology that described the vocabulary used in the XML files, and configured an existing registry technology for use within our sensor domain. i Acknowledgements We would like to thank our supervisors Bill Moser and Oliver Newell at Lincoln Laboratory for their invaluable assistance in all facets of this project. We would additionally like to thank Farruk Najmi for his advice regarding ebXML Registries. We would also like to thank Professor Ciaraldi for his help on the WPI side of things. The OWL files were created using the Prot´eg´eresource, which is supported by grant LM007885 from the United States National Library of Medicine. ii Contents Abstract i Acknowledgements ii Table of Contents iii List of Figures v List of Tables v 1 Introduction 1 2 Problem Statement 2 3 Background 5 3.1 Service Oriented Architecture .