Topic type
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Target Type
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Case Studies: Relate your experiences.
Collaboration: data collection, data sharing, open standards.
New data: handling new data models, for example 3D & temporal data, or big data.
Climate data, Big Spatial Temporal Data
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End User
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Additional Presenters
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Name
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Shamar Droghetti
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Organisation
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Fondazione Bruno Kessler
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Email
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droghetti@fbk.eu
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Name
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Claudia Dolci
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Organisation
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Fondazione Bruno Kessler
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Email
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dolci@fbk.eu
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Paper Abstract (short)
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We present a statistical WebGIS platform integrating visualization tools and statistical functions for epidemiological studies, entirely based on Open Source technologies. An application for cancer mapping and environmental cancer studies is the Cancer Atlas (CA-TN), the GeoICT platform of the Cancer Registry of Trentino (Italy).
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Paper Abstract (long)
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We developed a new web platform supporting the visualization of epidemiological indicators on spatial geometries and the exploration of the spatial distribution of data patterns (e.g. cancer sites, age classes, gender). Together with a rich web interface for epidemiological data, CA-TN includes standard statistical tools to provide complementary information facilitating periodic reporting and cancer surveillance activities. Incidence data from the Cancer Registry in Trentino provided by the Azienda Sanitaria per i Servizi Sanitari (Servizio Epidemiologia Clinica e Valutativa) have been aggregated to the municipality level to deal with privacy issues. Furthermore, to maintain compliancy with European and Regional privacy framework, we built a distributed database infrastructure, where single patient data at record level were kept only on local Sanitary Datacenter. The system is fully built on Open Source technologies: most of components are compliant with public standards defined by OpenGeo Consortium. Spatial and statistical data of the system are structured in a PostgreSQL/PostGIS geodatabase. Maps are published using Geoserver, with an interface implemented with OpenLayer and ExtJS, Django as middleware. The central element of the system is a reconfigurable multi-level database (GeoTree), which allows high flexibility in defining the cells of spatial and temporal analysis. The GeoTree is structured as an directed acyclic graph, where each node represents an entity in space and time (usually an administrative division) and outgoing arcs point to sub-elements of the node itself. Statistical and geographical datasets are associated to the nodes and can be queried and aggregated directly using different and even custom aggregation functions (e.g. sum, mean, intersection, collection). Furthermore, using the data aggregation functionalities, GeoTree structure allows defining and computing on the fly complex indicators involving multiple datasets and results are saved in a transparent cache structure that speeds up data presentation and further data elaboration. The GeoTree structure is a systematic approach to (1) managing relations among geometrical entities at different time and spatial scale, (2) linking datasets and geometries, (3) keeping track of original data sources and associated metadata, (4) easy integration of external data sources, (5-6) aggregation and calculation of complex indicators. The main application of this multi-level database for this project is the computation of each statistical variable at census unit, municipality, sanitary district, and province level. The second technical improvement in this project is the use of R statistical environment for both GeoTree indicators calculation and graphs generation directly in database through PL/R procedural language for PostGreSQL. This communication procedure allows both the creation of dynamic graphs and the deployment of more complex analysis, like the correction algorithms for small areas estimation (SAE) of epidemiological indicators. The target users for CA-TN are medical staff Ð either from public administration or professionals. Authors: Dolci C., Droghetti S., Franch G., Riccadonna S., Furlanello C.
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Topic type
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Target Type
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Visualization: effective presentation of information.
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People new to open source geospatial
Technical / Developer
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Additional Presenters
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Name
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Shamar Droghetti
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Organisation
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Fondazione Bruno Kessler
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Email
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droghetti@fbk.eu
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Name
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Gabriele Franch
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Organisation
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Fondazione Bruno Kessler
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Email
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franch@fbk.eu
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Name
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Stephan Meissl
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Organisation
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EOX IT Services GmbH
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Email
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stephan.meissl@eox.at
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Paper Abstract (short)
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This presentation introduces the Browse Server of ESA's new User Services infrastructure (ngEO) serving browse images via OGC's WMTS and WMS standards using GDAL, MapServer, EOxServer, and MapCache
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Paper Abstract (long)
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The Browse Server of the European Space Agency's (ESA's) new User Services infrastructure (ngEO) serves browse images via OGC's WMTS and WMS standards. It is entirely based on Open Source software including GDAL, MapServer, EOxServer, and MapCache. The offered services are used to present the user with visual representations of search results. Searches are typically performed against collections of acquisitions where it is important to visualize single as well as all browses in a specific time interval. Thus new functionality has been implemented in MapCache to support time dimensions. A caching strategy suitable for this use case has been developed and implemented in MapCache including read-only functionality. Internally the Browse Server supports ingesting and pre-processing of browse images following ESA specifications. This includes browse images whose geographic metadata are supplied either as footprint polygon, regular grid of tiepoints, or pre-georeferenced images. The pre-processing includes optimizations like footprint generation, re-projection, and addition of alpha-channel, as well as internal tilling, overviews, and compression. The presentation will highlight the design and functionality of the Browse Server. It will introduce the Browse Server in the context of the overall ESA User Services Next Generation (ngEO) as well as the possibilities to integrate it directly using the supported OGC services.
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Topic type
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Target Type
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Case Studies: Relate your experiences.
Business Cases: building the economic case.
Visualization: effective presentation of information.
New data: handling new data models, for example 3D & temporal data, or big data.
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People new to open source geospatial
End User
Technical / Developer
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Additional Presenters
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Name
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Thomas Bonfort
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Organisation
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Terriscope EURL
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Email
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thomas.bonfort@gmail.com
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Name
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Fabian Schindler
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Organisation
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EOX IT Services GmbH
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Email
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fabian.schindlerf@eox.at
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Name
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Allan Laframboise
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Organisation
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Esri
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Email
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alaframboise@esri.com
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Paper Title
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Esri: Going Open with GitHub
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I can give a practical demo
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yes
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Paper Abstract (short)
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Esri hosts over 80 public code repositories on GitHub. These Ògeo projectsÓ extend across a very wide-range of disciplines and technologies. This includes everything from full client-server Government solutions to specific geo-utility/analysis tools to ArcGIS products, components and solutions. This session covers how Esri embraced GitHub for sharing geo projects both across the organization and to the public domain, the implementation strategy, the technical challenges faced, and why others might want to consider adopting GitHub for their organizations as well.
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Paper Abstract (long)
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Esri: Going Open with GitHub As many of us know, GitHub has become the largest and most popular open source, social coding platform in the world. Not only does GitHub provide developers with a simple and effective way to publish projects and to collaborate with other developers, it also gives organizations a way to deploy large software development projects in the same space. Organizations can publish projects and interface with the community through the standard ÒFork, Clone, Pull RequestÓ methodology to accept code changes back into projects. Internal teams at large organizations can also use the private features of GitHub to curate and further develop projects until they are ready to be moved the public domain. Esri hosts over 80 public code repositories on GitHub. These Ògeo projectsÓ extend across a very wide-range of disciplines and technologies. This includes everything from full client-server Government solutions to specific geo-utility/analysis tools to ArcGIS products, components and solutions. Here are a few examples: - Geoportal Server - a standards-based tool that enables the discovery of geospatial resources and data; - Citizen Service Request Solution - a client-server application allowing citizens to submit requests from their desktop, mobile and tablet devices; - Spatial Framework for Hadoop - a spatial framework that allows developers and scientists to use the Hadoop data processing system for spatial data analysis; - Bootstrap for Maps Ð an example of how to use Bootstrap with Dojo to build mapping apps; - ArcGIS Flex Viewer - the complete Flex source code for building RIA web applications. This session covers how Esri embraced GitHub for sharing geo projects both across the organization and to the public domain, the implementation strategy, the technical challenges faced, and why others might want to consider adopting GitHub for their organizations as well.
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Topic type
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Target Type
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Case Studies: Relate your experiences.
Collaboration: data collection, data sharing, open standards.
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People new to open source geospatial
Manager
End User
Technical / Developer
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Name
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Lynnae Sutton
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Organisation
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Fish Passage Center
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Email
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naefish@aol.com
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Paper Title
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Evaluating open source GIS techniques for addressing database, analysis and visualization aspects of spatiotemporal information
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I can give a practical demo
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yes
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Paper Abstract (short)
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Most GIS were not specifically designed to manage dynamic spatiotemporal data. Spatiotemporal mapping is the representation of changes in geographical phenomena over time. By identifying the characteristics of the spatial, temporal and attributional dimensions, we evaluate, compare and contrast OSGIS techniques for data storage, retrieval, pattern analysis and visualization of spatiotemporal data. Some of the open source software evaluated includes: Weave, timemap.js, Dojo.js, QGIS temporal extension, OpenLayers Tracking, D3 and i2maps.
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Paper Abstract (long)
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Most GIS were not specifically designed to manage dynamic spatiotemporal data. Spatiotemporal mapping is the representation of changes in geographical phenomena over time. By identifying the characteristics of the spatial, temporal and attributional dimensions, we evaluate, compare and contrast OSGIS techniques for data storage, retrieval, pattern analysis and visualization of spatiotemporal data. Spatial change components include: shape, location, presence and size. Temporal change components include: states, rate, duration and intervals. Attributes include qualitative and quantitative descriptors. Combinations of changes are evaluated in dimensional components: attribute change (i.e. land-use), spatial attribute change (i.e. national boundaries), moving objects (i.e. hurricane paths), rate of change (i.e. populations of invasive species), temporal aggregation (i.e. precipitation) and spatial aggregations (i.e. voting results). In addition, visualization methods are explored: static (single and multiple snapshots), dynamic display (animation) and symbolic temporal representation. Results of the evaluations are presented. Some of the open source software evaluated includes: Weave, timemap.js, Dojo.js, QGIS temporal extension, OpenLayers Tracking, D3 and i2maps.
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Topic type
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Target Type
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Case Studies: Relate your experiences.
Visualization: effective presentation of information.
Hacks and Mashes: novel solutions to our problems.
New data: handling new data models, for example 3D & temporal data, or big data.
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People new to open source geospatial
Manager
End User
Technical / Developer
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Additional Presenters
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Name
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Jackie Olsen (2nd author)
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Organisation
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Email
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jcolsen@usgs.gov
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Name
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Simon Jirka
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Organisation
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52¡North GmbH
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Email
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jirka@52north.org
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Paper Title
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Event Processing in the Sensor Web
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I can give a practical demo
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yes
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Paper Abstract (short)
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The aim of this presentation is to show how open source technology can be applied for performing event processing of sensor data streams based on an open and interoperable approach using the OGC Sensor Event Service interface.
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Paper Abstract (long)
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Observation data provided through interoperable interfaces, e.g. through the specifications of the OGC Sensor Web Enablement framework, is a valuable enhancement of spatial data infrastructures. This way, conventional geospatial data can be augmented with additional information about the environment. This can comprise both, historic (time-series) as well as real-time information. The next step beyond displaying and analyzing observation data concerns the creation of notification systems that dispatch messages to users in case of certain events that are of interest for them. Examples for this are flood warnings, severe weather watches, personal warning systems for exposure to air pollutants, etc. While the pull-based access to observation data is already well established through the OGC Sensor Observation Service, a different mechanism is needed for such notification systems: push-based data access that delivers new measurements as soon as they are available. For this purpose, several activities have been started at the OGC, e.g. the work on the OGC Sensor Event Service Discussion Paper as well as the currently ongoing Publish/Subscribe Standards Working Group. Within the 52¡North open source Sensor Event Service implementation, several results of these activities were incorporated. This presentation will first introduce the general idea of push-based data access and how this can be used for enhancing existing spatial data infrastructures. After this, based on the example of the 52¡North Sensor Event Service implementation, a more detailed view on the concepts and ideas behind complex event stream processing will be given. It will be discussed which types of events usually need to be considered and how they can be expressed with the means provided by the different eventing specifications of the OGC. As a result the benefits of complex event processing technology are made available within Sensor Web set-ups. Complementary to the server side, the presentation will also cover according client developments. In this context, the latest enhancement of the open source Sensor Web Client of 52¡North will be discussed. This client offers a web-based interface for user to subscribe to certain sensor events in a very easy manner. Through this GUI it becomes possible to use the mentioned server components for creating user-friendly notification systems based on sensor data. Finally, typical deployment scenarios will be discussed. Best practices how to integrate sensor data streams into event notification systems, necessary components as well as exemplary system set-ups will be introduced. In summary, this talk will offer the audience a comprehensive overview how open source technology can be used for enhancing Sensor Webs with event processing capabilities so that advanced and user-friendly notification systems become available.
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