Organisation terrestris GmbH & Co kg

Paper Title	Create and Use INSPIRE Harmonised Geodata with HALE
I can give a practical demo	yes

Paper Abstract (short)

HUMBOLDT Alignment Editor (HALE) is a Free and Open Source solution for interactive geodata harmonisation. The presentation will start with a short introduction on HALE, then a practical showcase on how data can be transformed to comply to the INSPIRE Data Specification for some spatial data themes defined in Annex I, II and III will be shown.

Paper Abstract (long)

In 2013, the final specifications of Annex II and III themes will be published, and hundreds of organisations need to find effective methods and tools for providing data complying with the INSPIRE standards. Researchers, companies and administrative organisations will be interested in the professional use of these rich, high-quality data sets Ð as long as integration costs can be kept low. The HUMBOLDT Alignment Editor (HALE) is a solution for interactive geodata harmonisation. It enables the definition of consistent mappings between source and target data models and transforms data based on these mappings. HALE is Free and Open Source and allows both data providers and data users to: - analyze spatial data sets - understand data schemes - specify schema mappings and conduct transformation testing - transform complex spatial data in desktop and service environments - perform transformation quality checking - document the transformation - work collaboratively on harmonization projects. The presentation will start with a short introduction on HALE, then a practical showcase on how data can be transformed to comply to the INSPIRE Data Specification for some spatial data themes defined in Annex I, II and III will be shown.

Topic type		Target Type
Case Studies: Relate your experiences. Collaboration: data collection, data sharing, open standards.		Manager End User People interested in data harmonization and open standards

Additional Presenters
Name	Silvia Franceschi
Organisation	HydroloGIS
Email	[e-mail]
Name	Andrea Antonello
Organisation	HydroloGIS
Email	[e-mail]

ID Number

28

Name	Barend Kšbben
Organisation	ITC-University of Twente
Email	[e-mail]

Paper Title	Creating a Web Atlas in an SDI environment using the D3 library
I can give a practical demo	yes

Paper Abstract (short)

We describe how we have created an Atlas Map Viewer component, using the Open Web Platform and the D3 JavaScript library to map data in an SDI environment.

Paper Abstract (long)

This presentation is about different worlds, and how we try to unite them. One of these worlds is the world of Atlases: collections of complex, high quality maps presenting a nation to the geographically interested. The second is the world of National Spatial Infrastructures: highly organised, standardised and institutionalised large collections of spatial data and services. We describe the two worlds and their fundamental differences and we present the theoretical framework in which these worlds could be united. We introduce a test bed we are using to try out the theoretical framework in a real-life use case. In the architecture of that test bed we introduce a National Atlas Services layer and describe how we have created an Atlas Map Viewer component, using the Open Web Platform and the D3 JavaScript library.

Topic type		Target Type
Case Studies: Relate your experiences. Visualization: effective presentation of information.		People new to open source geospatial Manager End User Technical / Developer

ID Number

245

Name	Philippe Duchesne
Organisation	High Latitudes
Email	[e-mail]

Paper Title	CrossLinks: seamlessly integrate geospatial fragments with other media
I can give a practical demo	yes

Paper Abstract (short)

This paper presents the geospatial features, aspects and issues of the CrossLinks project, which aims at building an authoring and visualization platform for so-called data mosaics, i.e. meaningful and contextualized aggregations of fragments of heterogeneous datasets.

Paper Abstract (long)

The CrossLinks project aims at defining both a representation model and a visualization/authoring tool for data mosaics, i.e. mashups involving fragments of online datasets such as video, audio, text and structured data, including geographical data. The goal is to be able to link parts of data entities and tie them together in such added-value mosaics, and provide the tools to store, collaboratively author and visualize them. The resulting platform is intended both for collaborative cross-annotation of various media types, and for story telling involving these media types. This is achieved in a three steps approach, involving first a formalization of URI fragments, then the definition of a representation format for data mosaics, and finally an authoring and visualization application developed on top of these standards. Geo-data being a major part of online data, both in terms of quantity and relevance, special attention has been brought to its specificities in each of these steps. As a result, one of the data dimensions taken into account in the URI data fragment syntax is the geospatial dimension. As for the representation format and the implemented UI, focus is put on the ability to link fragments of geospatial mimetypes such as KML or GML, and also resources made available via OGC services. A major feature and challenge was to integrate seamlessly the display of linked data fragments within an annotated document. That means overlaying a map with bits of other medias, inserting map insets within other medias, and have an intuitive display of links between these fragments. The developed application is a browser-based UI relying on an RDF triple store. The client part uses several javascript libraries for the manipulation of supported mime types, including OpenLayers for the manipulation of geo resources. The server features a uSeekM/Sesame/PostGIS stack to provide a GeoSPARQL-enabled triple store, and serves data mosaics both through a REST/JSON and a SPARQL endpoint. The presentation of both the proposed standard and the resulting application shows how the geospatial dimension benefits from being treated equally to other dimensions, and how the integrated portrayal of these linked and heterogeneous data bits can offer a new browsing experience. It also shows how URI fragments can offer much finer-grained linked data.

Topic type		Target Type
Visualization: effective presentation of information. Hacks and Mashes: novel solutions to our problems. Collaboration: data collection, data sharing, open standards. Linked data		People new to open source geospatial End User Technical / Developer

ID Number

169

Name	Massimo Di Stefano
Organisation	[e-mail]
Email	[e-mail]

Paper Title	Data and visualization integration via web based resources
I can give a practical demo	yes

Paper Abstract (short)

We are developing cyberinfrastructure to facilitate collaboration and knowledge sharing for marine Integrated Ecosystem Assessments (IEAs). The main tool is based on a web application (IPython Notebook) that provides the ability to work on very diverse and heterogeneous data and information sources, providing an effective way to share the source code used to generate data products and associated metadata, as well as to track the workflow provenance to allow the reproducibility of a data product.

Paper Abstract (long)

We are developing cyberinfrastructure to facilitate collaboration and knowledge sharing for marine Integrated Ecosystem Assessments (IEAs). The main tool is based on a web application (IPython Notebook) that provides the ability to work on very diverse and heterogeneous data and information sources, providing an effective way to share the source code used to generate data products and associated metadata as well as to track the workflow provenance to allow the reproducibility of a data product. Starting with a source dataset and ending with a final product for an Ecosystem Status Report. A key feature is that metadata, embedded in the final product, are acquired during the processing and plotting of the data. In this way we are able to record the provenance needed to reproduce the data products. We are using the IPython Notebook as tool for collaborative data processing, workflow provenance and products publishing. IPython (Interactive Python) can be run interactively over the web, providing to the user an effective way to work on local or shared data. Here, is an example session showing the IPython Notebook interface used to run interactively the code to produce some figures for the Northeast Shelf (NES) LME Ecosystem Status Report. We executed some geospatial data analysis using tools including GRASS GIS (Geographic Information System) and R for statistical analysis in combination with other free and open source software tools.

Topic type		Target Type
Case Studies: Relate your experiences. Visualization: effective presentation of information. Development: new developments in products. Hacks and Mashes: novel solutions to our problems. Collaboration: data collection, data sharing, open standards. Reproducible Science, Education		People new to open source geospatial End User Technical / Developer Education

ID Number

29

Name	Barry Rowlingson
Organisation	Lancaster University
Email	[e-mail]

Paper Title	Data-driven Report Writing with R and QGIS
I can give a practical demo	no

Paper Abstract (short)

Presenting tools and techniques for making data-driven writing with open-source GIS software.

Paper Abstract (long)

Creating a workflow from data to report with a GUI-driven package produces something that is hard to repeat. If the data is updated, the pattern of clicks needs to be reproduced. Some software products adapt to this by introducing a custom macro system, or embedding a programming language. The user records a macro, or writes a short script, and replays that script when the data changes. A further step in automating the process from data to report is to have a report document that drives the analysis process itself. Such dynamic documents update to reflect the current data by running chunks of code within the report text. This presentation will show how the "knitr" package for the R statistical system can be used in a GIS context to produce a dynamic document with maps and spatial analysis, and also demonstrate a (hopefully) novel technique to integate with QGIS so that reports can contain analysis results and maps produced there.

Topic type		Target Type
Case Studies: Relate your experiences. Development: new developments in products. Research Techniques		End User Researcher

ID Number

162

Name	Markus Schneider
Organisation	Occam Labs
Email	[e-mail]

Paper Title	deegree: Turn-key solution for interoperable INSPIRE Download Services
I can give a practical demo	yes

Paper Abstract (short)

This presentation outlines the requirements and the successful implementation of compliant INSPIRE Download Services using FOSS.

Paper Abstract (long)

The INSPIRE directive aims to create a European Union (EU) spatial data infrastructure. After Discovery Services (metadata catalogues) and View Services (map servers), the next big thing on the INSPIRE roadmap are Download Services. Download Services provide access to the geospatial base data of the member states. This presentation outlines the requirements and the successful implementation of compliant INSPIRE Download Services using FOSS. What are the differences between "Predefined Dataset and "Direct Access" Download Services? What are "non-interoperable" and "interoperable" Download Services? What are the Data Themes (Annex I-III)? When is harmonization of base data required and how to approach it in practice? After providing an overview on the formal requirements, the presentation will turn to the special features of the deegree WFS. This thorough implementation of the OGC WFS 2.0 standard has a special focus on smooth handling of rich data models, such as INSPIRE Data Themes. This includes a powerful relational mapping language and an alternative storage approach which guarantees efficient reconstruction of rich features from spatial SQL databases, such as PostGIS.

Topic type		Target Type
Development: new developments in products. Hacks and Mashes: novel solutions to our problems. New data: handling new data models, for example 3D & temporal data, or big data.		Manager Technical / Developer Anybody interested in INSPIRE Download Services

Additional Presenters
Name	Markus Schneider
Organisation	Occam Labs
Email	[e-mail]