Time, Change and Habits in Geospatial-Temporal Information StandardsGeorge Percivall
Keynote for HIC 2014 – 11th International Conference on Hydroinformatics, New York, USA August 17 – 21, 2014
Time, Change and Habits in Geospatial-Temporal Information Standards
Time and change are fundamental to our scientific understanding of the world. Standards for geospatial-temporal information exist but new needs outstrip current standards. Geospatial-temporal information includes capturing change in features and coverages and modeling the processes that inform change. Key standards for time, calendars, and temporal reference systems are in place. Time series modeling from the WaterML standard is a recent advance of high value to hydrology. The OGC Moving Features standard will establish an encoding format for changes in “rigid” features. Interoperability standards are needed for Coverages with values that change based on observations, analytical expressions, or simulations. Applying a coverage model to time-varying, fluid Earth systems was the topic of the ground breaking GALEON Interoperability Experiment. Standards developments for spatial-temporal process models is progressing with WPS, OpenMI and ESMF - supporting a Model Web concept. A robust framework for sharing geospatial-temporal information is now coming into place based on developments captured in standards by ISO, WMO, ITU, ICSU and OGC - including the newly established OGC Temporal domain working group. The new framework will enable capabilities in expressing and sharing scientific investigations including research on the emergence of forms over time. With these new capabilities we may come to understand Peirce’s observation that over time “all things have a tendency to take habits.”
UAVs are a disruptive technology bringing new geographic data and information to many application domains. UASs are similar to other geographic imagery systems so existing frameworks are applicable. But the diversity of UAVs as platforms along with the diversity of available sensors are presenting challenges in the processing and creation of geospatial products. Efficient processing and dissemination of the data is achieved using software and systems that implement open standards. The challenges identified point to the need for use of existing standards and extending standards. Results from the use of the OGC Sensor Web Enablement set of standards are presented. Next steps in the progress of UAVs and UASs may follow the path of open data, open source and open standards.
This presentation will dive into a development team’s use case for choosing MongoDB as their spatially enabled NoSQL solution. The talk will also cover how the integration of GeoServer can expand the accessibility of your data. GeoServer is the open source implementation of Open Geospatial Consortium (OGC) standards and a core component of the Geospatial Web.
Giving MongoDB a Way to Play with the GIS CommunityMongoDB
The Geographic Information System (GIS), industry is booming, especially with the continued reliance on online maps and the rise of location-aware mobile devices. GIS tech can be one of the key players in the mobile internet, big data, and the internet of things, and is an essential tool for the next generation of the global IT industry.
Yet, the GIS community is not prepared. With all the data available, GIS experts lack an off-the-shelf solutions to manage the growing volume of spatial data. Relational spatial databases (RSDB) were the leader in this field for decades, but RSDBs have failed to innovate to handle massive volumes of data coming in at high velocity.
Fortunately, MongoDB a useful tool for this challenge, but needs some tooling to create a connector to the GIS tech ecosystem. In order to bridge the gap, we built a pipeline to comply with the architecture of the Geospatial Data Abstraction Library (GDAL), so that MongoDB can work with most of popular GIS tools such as OpenLayers, Mapserver, GeoServer, QGIS, ArcGIS and others with ease. In this talk, I'll go through this pipeline tool and showcase some examples of how you can use this in your next application.
WMS Benchmarking presentation and results, from the FOSS4G 2010 event in Barcelona. 8 different development teams participated in this exercise, to display common data through the WMS standard the fastest. http://2010.foss4g.org/wms_benchmarking.php
Time, Change and Habits in Geospatial-Temporal Information StandardsGeorge Percivall
Keynote for HIC 2014 – 11th International Conference on Hydroinformatics, New York, USA August 17 – 21, 2014
Time, Change and Habits in Geospatial-Temporal Information Standards
Time and change are fundamental to our scientific understanding of the world. Standards for geospatial-temporal information exist but new needs outstrip current standards. Geospatial-temporal information includes capturing change in features and coverages and modeling the processes that inform change. Key standards for time, calendars, and temporal reference systems are in place. Time series modeling from the WaterML standard is a recent advance of high value to hydrology. The OGC Moving Features standard will establish an encoding format for changes in “rigid” features. Interoperability standards are needed for Coverages with values that change based on observations, analytical expressions, or simulations. Applying a coverage model to time-varying, fluid Earth systems was the topic of the ground breaking GALEON Interoperability Experiment. Standards developments for spatial-temporal process models is progressing with WPS, OpenMI and ESMF - supporting a Model Web concept. A robust framework for sharing geospatial-temporal information is now coming into place based on developments captured in standards by ISO, WMO, ITU, ICSU and OGC - including the newly established OGC Temporal domain working group. The new framework will enable capabilities in expressing and sharing scientific investigations including research on the emergence of forms over time. With these new capabilities we may come to understand Peirce’s observation that over time “all things have a tendency to take habits.”
UAVs are a disruptive technology bringing new geographic data and information to many application domains. UASs are similar to other geographic imagery systems so existing frameworks are applicable. But the diversity of UAVs as platforms along with the diversity of available sensors are presenting challenges in the processing and creation of geospatial products. Efficient processing and dissemination of the data is achieved using software and systems that implement open standards. The challenges identified point to the need for use of existing standards and extending standards. Results from the use of the OGC Sensor Web Enablement set of standards are presented. Next steps in the progress of UAVs and UASs may follow the path of open data, open source and open standards.
This presentation will dive into a development team’s use case for choosing MongoDB as their spatially enabled NoSQL solution. The talk will also cover how the integration of GeoServer can expand the accessibility of your data. GeoServer is the open source implementation of Open Geospatial Consortium (OGC) standards and a core component of the Geospatial Web.
Giving MongoDB a Way to Play with the GIS CommunityMongoDB
The Geographic Information System (GIS), industry is booming, especially with the continued reliance on online maps and the rise of location-aware mobile devices. GIS tech can be one of the key players in the mobile internet, big data, and the internet of things, and is an essential tool for the next generation of the global IT industry.
Yet, the GIS community is not prepared. With all the data available, GIS experts lack an off-the-shelf solutions to manage the growing volume of spatial data. Relational spatial databases (RSDB) were the leader in this field for decades, but RSDBs have failed to innovate to handle massive volumes of data coming in at high velocity.
Fortunately, MongoDB a useful tool for this challenge, but needs some tooling to create a connector to the GIS tech ecosystem. In order to bridge the gap, we built a pipeline to comply with the architecture of the Geospatial Data Abstraction Library (GDAL), so that MongoDB can work with most of popular GIS tools such as OpenLayers, Mapserver, GeoServer, QGIS, ArcGIS and others with ease. In this talk, I'll go through this pipeline tool and showcase some examples of how you can use this in your next application.
WMS Benchmarking presentation and results, from the FOSS4G 2010 event in Barcelona. 8 different development teams participated in this exercise, to display common data through the WMS standard the fastest. http://2010.foss4g.org/wms_benchmarking.php
Hantering av kartor wms tjänster och punktmoln i novapoint dcm bas
1. NOVAPOINT ANVÄNDARTRÄFF 2016 │Stockholm 28-29 januari
Kartor, WMS -tjänster och punktmoln i
NovapointDCM Bas
David Sandegård, Vianova
2. NOVAPOINT ANVÄNDARTRÄFF 2016 │Stockholm 28-29 januari
This presentation outlines Trimble Civil Engineering & Construction Division’s general
product direction. It is for information purposes only and is not to be integrated into
any contract. It is not a commitment for the delivery of any material, code or
functionality. Do not rely upon it in making purchasing decisions. Trimble Civil
Engineering & Construction Division reserves the right and discretion for the
development, release, scheduling or discarding of any features or functionality
described for Trimble CE & C Division’s products.
Disclaimer
3. NOVAPOINT ANVÄNDARTRÄFF 2016 │Stockholm 28-29 januari
WMS
Kartor, ortofoto
Öppna källor
Lantmäteriet
Kartdata från Lantmäteriet
Fastighetskartan
Fastighetsindelning
Topografi
Rättigheter, planer och bestämmelser
Punktmoln
För visualisering
Markmodell
WMS, Kart-data och punktmoln
4. NOVAPOINT ANVÄNDARTRÄFF 2016 │Stockholm 28-29 januari
WMS – Web Map Service
Webserver med georefererade bilder
Kartor, miljöinformation, ortofoton mm
Många servrar kräver konto
Finns även gratis
Geodataportalen
Samling av svensk geodata
WMS - allmänt
WMS
6. NOVAPOINT ANVÄNDARTRÄFF 2016 │Stockholm 28-29 januari
Enkelt!
Skapa aktivitet WMS
Ange web-adressen till servern
Koppla upp, eventuellt ange login
Välj vilken kartdata du vill lägga till i
modellen
Klart
Konverteringar mellan WMS och din
Quadrimodell inom Sweref-systemet sköts
automatiskt
Visa WMS i Presentationer – Plan eller 3D
Du kan ha flera WMS-kopplingar
WMS i Novapoint 19
7. NOVAPOINT ANVÄNDARTRÄFF 2016 │Stockholm 28-29 januari
+ Enkelt
+ Många olika ämnesområden
+ Natur, miljö, kulturminnen
+ Kartor
+ Ortofoto
+ Täcker ofta hela Sverige
+ Automatisk koordinattransformation inom
Sweref 99
– Dum kartbild,
– Du kan inte få mer info än bilden
– Behöver ofta teckenförklaring
– Bild
– Kan inte se flera kartor samtidigt om de
överlappar
Fungerar kanon med ortofoton!
Leta efter WMSer och fri data på Geodataportalen:
https://www.geodata.se/GeodataExplorer/index.jsp
?loc=sv
Stockholm; Dataportalen:
http://dataportalen.stockholm.se/dataportalen/
WMS generellt
8. NOVAPOINT ANVÄNDARTRÄFF 2016 │Stockholm 28-29 januari
Produktnamn GSD- Fastighetskartan, vektor
Ni får leveranser i Esri Shape
Görs om till dwg av era GIS-ingenjörer
Mycket information går förlorad i dwg
Kartdata från Lantmäteriet
9. NOVAPOINT ANVÄNDARTRÄFF 2016 │Stockholm 28-29 januari
GSD Fastighetskartan består av
Fastighetsindelning
Topografi
Tilläggsinformation
Rättigheter, Planer och Bestämmelser
Ni får massor av filer
Namngivna enligt XX_Utsnitt.shp
Vad är vad?
Finns bra dokumentation på Lantmäteriets
hemsida
Leverans av Fastighetskartan vektor
10. NOVAPOINT ANVÄNDARTRÄFF 2016 │Stockholm 28-29 januari
Import av Shapefiler från Lantmäteriet.
OBS! Den version av Novapoint som
visas är en utvecklingsversion.
I officiell version går det inte att matcha
Lantmäteriets objekt mot motsvarande
objekt i Novapoint.
Inte heller Visningsstilarna finns i officiell
version.
Vår ambition är att det ska fungera
framtiden…
Visning
11. NOVAPOINT ANVÄNDARTRÄFF 2016 │Stockholm 28-29 januari
Laserdata – Som Punktmoln eller
Importerade punkter
Som Punktmoln
Resultatet blir ett ”dumt” punktmoln
Visualisering
Import – Triangelmodell
Import - LAS
Filtrering på Mark-punkter
Resultatet blir en Markyta
Använd som vanligt
Tack till WSP för laserdatan!
Laserdata – Som punktmoln och markmodell