Additional Presenters
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Name
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Jose Garcia
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Organisation
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GeoCat BV
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Email
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Jose.Garcia@GeoCat.net
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Name
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Hue Dang
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Organisation
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GeoCat BV
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Email
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Hue.Dang@GeoCat.net
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Name
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Volker Mische
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Organisation
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Couchbase
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Email
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volker.mische@gmail.com
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Paper Title
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GeoCouch: An n-dimensional index for Apache CouchDB and Couchbase
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I can give a practical demo
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no
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Paper Abstract (short)
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GeoCouch is an extension for the document databases Apache CouchDB and Couchbase to query them with n-dimensions
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Paper Abstract (long)
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Databases that support spatial queries are often limited to three dimensions, but the requirements increase. You might want to query in more dimensions, for time ranges or other attributes like trajectories. Documents are represented as JSON. The values that will be stored in the index can be extracted from anywhere within such a JSON document. Even conversions like reprojections are possible. Apache CouchDB and Couchbase are document databases, hence belong to the non-relational space which is also known as ÒNoSQLÓ. One of the strength of Apache CouchDB is the (multi-master) replication. You can keep the data from several different instances easily in sync, even if you change the data on different instances. The replication isn't limited to Apache CouchDB, but it's a whole ecosystem. It's even possible to sync with your web browser and store it in its offline storage. This way the user can access the data offline, without the need to be always connected to the server. In contrast Couchbase has its strong point in working at scale. The data gets automatically sharded across machines. Adding and removing servers at a later stage can be performed through a simple web interface. If a server goes down the system can still work without any interruptions. GeoCouch, Apache CouchDB and Couchbase are open source and licensed under the Apache License 2.0.
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Topic type
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Target Type
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Development: new developments in products.
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Technical / Developer
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Name
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Mario Basa
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Organisation
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Georepublic Japan
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Email
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mario.basa@georepublic.co.jp
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Paper Title
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GEOFUSE: Location Intelligence Analytics Tool
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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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Leveraging all the advantages of location intelligence can be achieved using GEO-Fuse, which can easily combine business data coming from different sources with location information to provide better analytics.
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Paper Abstract (long)
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From Wikipedia, Location Intelligence Òcombines geographic and location-related data with other business data, organizations can thus gain critical insights, make better decisions and optimize important processes and applications. Location Intelligence offers organizations opportunities to streamline their business processes and customer relationships to improve performance and results.Ó GEO-Fuse is an Open Source Application that uploads and links CSV and TAB delimited attribute data with geographic data. Once the attribute data has been accepted, GEO-Fuse creates thematic maps using the uploaded metrics to achieve the benefits that Location Intelligence offers. The thematic maps can be configured to use different criteria, distribution types (Huff Model, Statistical, etc.), different ranges, and different colors for better analytics. GEO-Fuse also accepts data that include Longitude/Latitude information and creates a Point layer which can again be used to create thematic maps. PDFs can be created from the thematics maps. And the entire thematic map can actually be embedded in a blog or a web news letter for better dissemination of information. GEO-Fuse is built upon Geoserver, PostgreSQL/PostGIS, OpenLayers, and Ext-JS.
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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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End User
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Name
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Andrea Antonello
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Organisation
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HydroloGIS S.r.l.
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Email
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andrea.antonello@gmail.com
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Paper Title
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Geographic scripting in uDig: halfway between developer and user
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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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Scripting is one of the powerful things in GIS. Through geographic scripting skilled users get the possibility to enhance their favourite GIS and extend it with their own ideas and customization needs.
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Paper Abstract (long)
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Scripting is one of the powerful things in GIS. Through geographic scripting skilled users get the possibility to enhance their favourite GIS and extend it with their own ideas and customization needs. The GeoScript project adds spatial capabilities to dynamic scripting languages. It has reached a mature state and is used in quite a lot of environments. Since its 1.4.0 release, uDig features a Scripting editor that aids the user in composing and executing scripts seamlessly from within the GIS environment. The editor helps the user with syntax colouring and simplified command completion, as well as drag and drop of resources from the catalog and layer views. That way uDig gives a great opportunity to have a simple and powerful GeoScript environment ready to use directly in the GIS, without any installation hassle. An introduction to the scripting editor of uDig will be given, as well as some hints about how the most common operations in GeoScript are performed. It will also be shown how GeoScript can be extended to do geomorphologic processing through the JGrasstools project libraries in uDig, the same used also in the Spatial Toolbox of uDig.
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Topic type
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Target Type
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Development: new developments in products.
Hacks and Mashes: novel solutions to our problems.
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End User
Technical / Developer
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Additional Presenters
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Name
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Silvia Franceschi
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Organisation
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HydroloGIS S.r.l.
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Email
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silvia.franceschi@gmail.com
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Name
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Nouri Sabo
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Organisation
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Natural Resources Canada
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Email
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nsabo@nrcan.gc.ca
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Paper Title
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GeoHashTree, a multi-resolution data structure for the management of point clouds in PostgreSQL database
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I can give a practical demo
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no
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Paper Abstract (short)
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Natural Resources Canada has initiated a new project to modernize its elevation data management system. The new system, mainly based on Open Source tools, also includes a new hierarchical data structure for managing point clouds and other types of elevation data at different resolutions. This structure called GeoHashTree, is a component of POINTPACH, the new extension for the management of point clouds in PostgreSQL. During this presentation, the system architecture and the new data structure will be exposed. Then, the results of tests conducted with the new structure will be discussed.
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Paper Abstract (long)
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Elevation data are increasingly used in many application areas. The growing number of applications using elevation data demonstrates the interest of users vis-ˆ-vis this type of data. In fact, the needs continue to grow and specialize and acquisition technologies for this type of data are becoming more numerous, efficient and accessible. In this area, LiDAR is one of the technologies that has radically changed the way elevation data is acquired. If, on one hand, this technology allows to acquire data of high precision, it remains that the storage, management and exploitation of these data pose serious challenges due to their irregular distribution, their density and the amount of information they contain. This difficulty to manage and use point clouds often led some organizations to transform LiDAR points to regular data (e.g. raster) to facilitate data handling. In Canada, elevation data managed by Natural Resources Canada were stored and distributed as CDED (Canadian Digital Elevation Data). The CDED has a very restrictive format which supports only one resolution, making it impossible to manage data at a high resolution such as LiDAR. This is why, a little more than two years ago, the Mapping Information Branch of Natural Resources Canada initiated a project to develop a new flexible system for the management and dissemination of Canadian elevation data from various sources. This new system is mainly based on Open Source tools and also includes a new data structure called GeoHashTree. GeoHashTree is a generic data structure that allows to store, access and manipulate point clouds. It integrates both data with different types (irregular and regular data) and different resolutions in the same structure. GeoHashTree is a hierarchical structure which can present irregular data with various levels of abstraction (e.g. the same LiDAR data can have multiple representations with minimum storage overhead). At each level of the structure, several statistics such as multiple attributes' min, max and mean are presented. The structure itself is based on the Geohash which is a global geocoding system based on a hash function that divides the surface of the earth into a hierarchical grid. Inside the structure, each point is indexed and the search for a point is accomplished by a simple character string comparison, which greatly facilitates its integration into a database. GeoHashTree structure is a component of POINTPACH, a new extension to manage point clouds in PostgreSQL. Based on this structure, a system for the management of point clouds in PostgreSQL was developed. The system allows to interact with the database through spatial and attributive queries. For example, a user can select certain attributes from LiDAR points included in a bounding box, whose elevation is greater than 150 m. In addition to providing arbitrary access to the data, the ability to aggregate data and the ability to manage multi-resolution data, this structure allows the management of point clouds in a database while minimizing storage (more compact than LAS). In addition, our tests have shown that this structure allows to obtain an excellent performance in terms of access (better than LAS with arbitrary access to the data). In this paper, the system architecture and the new structure will be exposed. Then, the results of tests conducted with the new structure in terms of storage and performance will be presented. And finally, future developments based on this structure will be discussed.
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Topic type
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Target Type
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Case Studies: Relate your experiences.
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.
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People new to open source geospatial
Manager
End User
Technical / Developer
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Name
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Paul van Genuchten
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Organisation
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Geocat bv
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Email
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paul.vangenuchten@geocat.net
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Paper Title
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Geonetwork mobile
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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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In your appstore soon: a mobile version of geonetwork, imagine querying a spatial catalogue from the field. Bad wheather expected, unexpected road block, rare species of butterfly, find and display required data on your phone
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Paper Abstract (long)
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WouldnÕt it be great to be somewhere in the field, get your phone, query a spatial catalogue and find (and display) nice datasets at the location youÕre at. Guess what, soon in your favourite appstore: Geonetwork Mobile. With great thanks to Geonetwork, Cordova, Jquery Mobile and OpenLayers. In this presentation youÕll get a small walk through on the used techniques and how to build your own html5 spatial app. Jquery mobile is a jquery extension that creates a stunning mobile UI out of simple html elements. Cordova is a wrapper that wraps any website into an app that can be build against most of the widely used mobile platforms.
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Topic type
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Target Type
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Visualization: effective presentation of information.
Development: new developments in products.
Hacks and Mashes: novel solutions to our problems.
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Manager
End User
Technical / Developer
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Name
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Jeroen Ticheler
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Organisation
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GeoCat BV
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Email
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Jeroen.Ticheler@GeoCat.net
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Paper Abstract (short)
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The presentation will provide an insight of the new functionality available in the latest release of the software. Publishing and managing spatial metadata using GeoNetwork opensource has become main stream in many Spatial Data Infrastructures. The project developers have made big progress on INSPIRE support, performance, scalability, usability, workflow, metadata profile plugins and catalogue services compliance. Examples of implementations of the software will be given, highlighting several national European SDI portals developed in the context of the INSPIRE directive as well as work for Environment Canada.
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Paper Abstract (long)
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No full abstract
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