October 2012 OGC TC Meetings 出國報告
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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 -
"The Global Spatial Data Infrastructure Association - Advancing a Location Enabled World"
GSDI and IGS Newsletter, Vol. 4, No. 2 News from the GSDI Association and the International Geospatial Society Vol. 4, No. 2, 2014 "The Global Spatial Data Infrastructure Association - Advancing a Location Enabled World" ASSOCIATION NEWS Association since 2010. Within local conservation circles he was primarily known for co-directing, with his partner GSDI Association Board Member Mark Becker Dies of 30 years Lori Charkey, the Bergen Save the Watershed in Tragic Accident Action Network (Bergen SWAN).” The GSDI Association learned of the tragic death of CIESIN Associate Director Mark Becker at the age of 53, on 26 February 2014 in a multi-vehicle accident on the New York State Thruway in Woodbury, NY. Mark was the GSDI Board member representing ‘GSDI Related Global Initiatives’ and was a valued member of the GSDI Outreach and Membership Committee, where his input and insight will be much missed by his colleagues at the Association. Below is an extract from the tribute to Mark from CIESIN. “In his 15 years at CIESIN Mark made contributions that will be felt for a long time. He began his CIESIN career in Mark Becker leading a teacher training workshop for the February 1999, and was soon appointed head of the CHANGE Viewer mapping tool. Pictured behind him is Geospatial Applications Division. … In many ways he Amy Work, IAGT, who helped develop the tool. Palisades, helped bring GIS to Columbia, as manager of the GIS New York, July 2013. Source: CEISIN Service Center and ESRI site license. He helped install many of the early GIS labs on campus and helped train See the full tribute to Mark on the CIESIN website at many of the people who operated them. -
Augmenting Hydrologic Information Systems with Streaming Water Resource Data
AUGMENTING HYDROLOGIC INFORMATION SYSTEMS WITH STREAMING WATER RESOURCE DATA S. Esswein1, J. Hallstrom2, C. J. Post1, D. White3, G. Eidson4 AUTHORS: Forestry and Natural Resources1; School of Computing2; Computing and Information Technology3; Restoration Institute4, Clemson University, Clemson, SC USA 29634 REFERENCE: Proceedings of the 2010 South Carolina Water Resources Conference, held October 13-14, 2010, at the Columbia Metropolitan Convention Center. examined with an emphasis on design decisions regarding Abstract. Access to timely and accurate hydrological leveraging available standards and software. Insight and environmental observation data is a crucial aspect of garnered from several years of data acquisition experience an integrated approach to water resources management. is provided, along with a recent case study involving a This presentation describes an end-to-end system designed monitoring deployment supporting the Sand River to support realtime monitoring and management of water Headwaters Green Infrastructure project located in the resources. The main components of the hardware/software City of Aiken, South Carolina. infrastructure of this system are broken into four There are four components or tiers of a realtime- categories and briefly described. This organization monitoring infrastructure: (i) sensing platforms collect in provides the basis for a synthesis of several prominent situ observation data, (ii) communication and uplink standards and software solutions relevant to the technologies transmit realtime observation data, (iii) data hydrologic and environmental observing communities. streaming middleware provides highly distributed These standards are described in the context of their role publication and subscription of observation data, and (iv) in our end-to-end system. The presentation concludes with back-end repository and presentation services provide a a case study describing a green infrastructure monitoring means of viewing and utilizing data products. -
An Interoperable Multi-Sensor System for Healthcare
2013 IEEE GCC Conference and exhibition, November 17-20, Doha, Qatar An Interoperable Multi-Sensor System For Healthcare Bassant Selim Youssef Iraqi Ho-Jin Choi Khalifa University Khalifa University KAIST Sharjah, United Arab Emirates Sharjah, United Arab Emirates Daejeon, South Korea Email: [email protected] Email: [email protected] Email: [email protected] Abstract—Pervasive healthcare systems, enabled by informa- an introduction to the sensor standards considered, section tion and communication technology (ICT), can allow the elderly IV presents the requirements and solutions that insure the and chronically ill to stay at home while being constantly adequate performance of our system, section V provides an monitored. Patient monitoring can be achieved by sensors and example of sensor Modeling Language description of a body sensor systems that are both worn by the patient and installed temperature sensor, section VI presents related works in the in his home environment. There is a large variety of sensors area of applying standards to healthcare monitoring systems available on the market that can all serve to this purpose. In order to have a system that is independent of the sensors that and finally section VII concludes this work. are used, standardization is the key requirement. This work aims to present a framework for healthcare monitoring systems based II. SYSTEM ARCHITECTURE on heterogeneous sensors. In order to achieve interoperability, standards are considered in the system design. The proposed system is composed of multiple hierarchical layers that are each responsible of monitoring different pa- Keywords—Heterogeneous Sensor Networks, SensorML, IEEE rameters of the patient’s health. -
Semantic Sensor Observation Service
Wright State University CORE Scholar The Ohio Center of Excellence in Knowledge- Kno.e.sis Publications Enabled Computing (Kno.e.sis) 5-2009 SemSOS: Semantic Sensor Observation Service Cory Andrew Henson Wright State University - Main Campus Josh Pschorr Wright State University - Main Campus Amit P. Sheth Wright State University - Main Campus, [email protected] Krishnaprasad Thirunarayan Wright State University - Main Campus, [email protected] Follow this and additional works at: https://corescholar.libraries.wright.edu/knoesis Part of the Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, and the Science and Technology Studies Commons Repository Citation Henson, C. A., Pschorr, J., Sheth, A. P., & Thirunarayan, K. (2009). SemSOS: Semantic Sensor Observation Service. 2009 International Symposium on Collaborative Technologies and Systems: May 18-22, 2009, Baltimore, Maryland, USA, 44-53. https://corescholar.libraries.wright.edu/knoesis/333 This Article is brought to you for free and open access by the The Ohio Center of Excellence in Knowledge-Enabled Computing (Kno.e.sis) at CORE Scholar. It has been accepted for inclusion in Kno.e.sis Publications by an authorized administrator of CORE Scholar. For more information, please contact [email protected]. 1 SemSOS: Semantic Sensor Observation Service Cory A. Henson, Josh K. Pschorr, Amit P. Sheth, and Krishnaprasad Thirunarayan Kno.e.sis Center, Department of Computer Science and Engineering Wright State University, Dayton, OH 45435 [email protected], [email protected], [email protected], [email protected] enabled by semantic modeling and what advantages this Abstract provides to standard SOS. -
Geospatial Artificial Intelligence
Geospatial Artificial Intelligence An introduction to pipelining for automated geospatial analysis, modelling and AI Simon D. Wenkel March 30, 2019 DRAFT 6 Selecting file formats Some of the biggest questions we have to ask ourselves when we start a geospatial project is what file formats do we want to use. There are many out there and some have their specific advantages for certain niches. GDAL/OGR [1] lists 96 vector formats and 155 raster formats. That is a lot to choose from. Comment 6.1 Utilizing normal files and databases for geospatial data In theory we could use any kind of file or database to store geospatial data as long as we know how we stored it and how the projection is linked to coordinates. Since the same coordinates will lead to different positions for different projections this can be dangerous and therefore is not recommended. However, we can see this often especially with text files and if they are not documented properly we end up with a big mess. 6.1 Databases vs. single files First, we have to decide on whether we want single files or a real database to store our data. The main challenge with geospatial data stored in single files is that we end up having multiple files that make a “single” file. If one of them is lost or not copied correctly we may are doomed if this is an essential one. The big advantage of using single files to store geospatial data is that if we manage to copy them correctly everyone can work with them without having deep knowledge on setting up databases. -
DGIWG Service Architecture
DGIWG – 306 DGIWG Service Architecture Document Identifier: TCR-DP-07-041-ed2.0.1-DGIWG_Service_Architecture Publication Date: 05 November 2008 Edition: 2.0.1 Edition Date: 05 November 2008 Responsible Party: DGIWG Audience: Approved for public release Abstract: This document provides architecture guidance to DGIWG. Copyright: (C) Copyright DGIWG, some rights reserved - (CC) (By:) Attribution You are free: - to copy, distribute, display, and perform/execute the work - to make derivative works - to make commercial use of the work Under the following conditions: - (By:) Attribution. You must give the original author (DGIWG) credit. - For any reuse or distribution, you must make clear to others the license terms of this work. Any of these conditions can be waived if you get permission from the copyright holder DGIWG. Your fair use and other rights are in no way affected by the above. This is a human-readable summary of the Legal Code (the full license is available from Creative Commons <http://creativecommons.org/licenses/by/2.0/ >). DN:07-041 05 November 2008 Contents Executive summary ..................................................................................................... 1 Acknowledgement ....................................................................................................... 1 1 Introduction .......................................................................................................... 2 1.1 Scope ............................................................................................................. -
Current Status of Standards for Augmented Reality
Current Status of Standards for Augmented Reality Christine Perey1, Timo Engelke2, Carl Reed3 Abstract This chapter discusses the current state, issues, and direction of the development and use of international standards for use in Augmented Reality (AR) applications and services. More specifically, the paper focuses on AR and mobile devices. Enterprise AR applications are not discussed in this chapter. There are many existing international standards that can be used in AR applications but there may not be defined best practices or profiles of those standards that effectively meet AR development requirements. This chapter provides information on a number of standards that can be used for AR applications but may need further international agreements on best practice use. Introduction Standards frequently provide a platform for development; they ease smooth opera- tion of an ecosystem in which different segments contribute to and benefit from the success of the whole, and hopefully provide for a robust, economically-viable, value chain. One of the consequences of widespread adoption of standards is a baseline of interoperability between manufacturers and content publishers. Anoth- er is the ease of development of client applications. In most markets, standards emerge during or following the establishment of an ecosystem, once a sufficient number of organizations see market and business value in interoperating with the solutions or services of others. Augmented Reality (AR) has arisen as a result of two driving forces: a push force brought about by convergence of improvements in technology (networking, com- putational, devices, display technology, sensors, etc) and a pull force arising from a critical mass of users who—once enabled with lighter, more powerful and less 1 Christine Perey, Spime Wrangler, PEREY Research & Consulting 2 Timo Engelke, Fraunhofer IGD 3 Carl Reed, PhD, CTO, Open Geospatial Consortium expensive technologies—seek knowledge and information in context with their surroundings. -
Workshop Proceedings ENABLING SENSOR
Ref. No. [UMCES]CBL 07-079 Alliance for Coastal Technologies Indexing No. ACT-06-07 Workshop Proceedings ENABLING SENSOR* INTEROPERABILITY Portland, Maine October 16-18, 2006 Funded by NOAA’s Coastal Services Center through the Alliance for Coastal Technologies (ACT) * For the purpose of the workshop, participants spoke in terms of “instruments” rather than “sensors,” defining an instrument as a device that contains one or more sensors or actuators and can convert signals from analog to digital. An ACT Workshop Report Enabling Sensor Interoperability Portland, Maine October 16-18, 2006 Sponsored by the Alliance for Coastal Technologies (ACT) and NOAA’s Center for Coastal Ocean Research in the National Ocean Service. Hosted by ACT Partner, Gulf of Maine Ocean Observing System. ACT is committed to develop an active partnership of technology developers, deliverers, and users within regional, state, and federal environmental management communities to establish a testbed for demonstrating, evaluating, and verifying innovative technologies in monitoring sensors, platforms, and software for use in coastal habitats. Enabling Sensor Interoperability ..................................................................................................... i TABLE OF CON T EN T S Executive Summary .........................................................................................................................1 Alliance for Coastal Technologies ...................................................................................................2 -
MASTERARBEIT Archiving Digital Maps with Geopackage and Vector
MASTERARBEIT Archiving Digital Maps with GeoPackage and Vector-tile Dissemination Ausgeführt am Department für Geodäsie und Geoinformation der Technischen Universität Wien unter der Anleitung von Univ.Prof. Mag.rer.nat. Dr.rer.nat. Georg Gartner, TU Wien und Dipl.-Ing. Dr. Markus Jobst, Bundesamt für Eich- und Vermessungswesen Dr.-Ing. Christian Murphy, TU München durch Yunnan Chen Schulwinkel 4, Stuttgart 28.03.2019 Unterschrift (Student) i MASTER’S THESIS Archiving Digital Maps with GeoPackage and Vector-tile Dissemination Conducted at the Department of Geodesy and Geoinformation Technical University Vienna Under the supervision of Univ.Prof. Mag.rer.nat. Dr.rer.nat. Georg Gartner, TU Vienna and Dipl.-Ing. Dr. Markus Jobst, Federal Office of Metrology and Surveying Dr.-Ing. Christian Murphy, TU Munich by Yunnan Chen Schulwinkel 4, Stuttgart 28.03.2019 Signature (Student) ii Statement of Authorship Herewith I declare that I am the sole author of the submitted Master’s thesis entitled: “Archiving Digital Maps with GeoPackage and Vector-tile Dissemination” I have fully referenced the ideas and work of others, whether published or unpublished. Literal or analogous citations are clearly marked as such. Vienna, 28.03.2019 Yunnan Chen iii Acknowledgements The last two years in the International Cartography M.Sc. programme have been such a special journey. This master’s thesis could not be accomplished without the supports of many people. First, I would like to express my sincere gratitude and appreciation to my first supervisor and the deputy head of Information Management Department at Austrian Federal Office for Metrology and Surveying, Dr. Markus Jobst, who has been providing marvelous guidance, ideas, support, and suggestions in the last few months. -
RMDCN Developments
OGC Standards EGOWS 2010 ECWMF, Reading, 2010/06/1-4 Chris Little [email protected] +44 1392 886278 OGC Co-Chair Meteorology & Oceanography Domain Working Group © Crown copyright 2007 Apologies & Disclaimers I speak too fast No pictures I was involved in international standards • ISO • WMO View of the OGC ‘landscape’ • ‘Valleys & hills’ • NOT ‘Turn 3rd left after pub’ © Crown copyright 2007 Structure of Talk • Some Background • Why OGC? • Standards • Issues for Meteorology © Crown copyright 2007 OGC Standards Some Background © Crown copyright 2007 OGC Met Ocean DWG 2007: ECMWF 11th Workshop on Meteorological Operational Systems - recommended: 2008: ECMWF-OGC Workshop on Use of GIS/OGC Standards in Meteorology - recommended: - Establish OGC Met Domain WG - Establish WMO-OGC Memorandum of Understanding - Develop WMS meteorological profile - Develop core models and registries - Interoperability test beds for met. data & visualization OGC web services © Crown copyright 2007 OGC Who? • Open Geospatial Consortium http://opengeospatial.org • Non-profit making • Standards setting http://opengeospatial.org/standards • Global • >400 members http://opengeospatial.org/members • Industry • Government bodies • Academia • Individuals © Crown copyright 2007 OGC How? TC - Technical Conference, 4 days every 3 months - Darmstadt Sept 2009 EUMETSAT - Mountainview Dec 2009 Google - Frascati Mar 2010 ESA SWG - Standards Working Groups, ~24, - Fast track to ISO, short lived, ‘vertical’ DWG - Domain Working Groups, ~27 - Cross-cutting, longer lived, -
OGC Environmental Data Standards for Monitoring and Mapping
OGC Environmental Data Standards for Monitoring and Mapping LANDCARE RESEARCH – Alistair Ritchie Research Data Architect/Engineer | Informatics Team MANAAKI WHENUA 2 P A G E INTRODUCTION • What is the OGC and WSMA*? • Earth science (and Agriculture) Working Groups • When one bureaucracy isn’t enough – the OGC and ISO and W3C • Overview by example – OGC Soil Data Interoperability Experiment LANDCARE RESEARCH – • Coming soon – a peak over the horizon • Why participation is valuable for New Zealand MANAAKI WHENUA * Why So Many Acronyms A p r i l 1 8 3 P A G E THE OPEN GEOSPATIAL CONSORTIUM (OGC) • ‘The Open Geospatial Consortium (OGC) is an international industry consortium of over 529 companies, government agencies and universities participating in a consensus process to develop publicly available interface standards.’ From: http://www.opengeospatial.org/ogc • New Zealand members: LANDCARE RESEARCH – − Hawkes Bay RC, Horizons RC, Land Information NZ, Manaaki Whenua, Ministry for the Environment, NIWA • Consensus driven specification of standards for: − the behaviour and implementation of data services (interoperable communication protocols) − data formats (geography mark-up language; GeoPackage) MANAAKI WHENUA − the structure of data describing real world things (hydrological features, observation and sampling data, aviation data …) − best practices for applying and using standards − policies and tools for testing and endorsing compliance with the standards • Standardisation by innovation and doing − heavy emphasis on large scale Testbeds