ZOO-Project is an open source platform providing a WPS (Web Processing Service) implementation and developer-friendly framework to create and chain WPS compliant Web Services. ZOO-Project is made of three parts:

• ZOO Kernel, a powerful server-side C Kernel that allows deployment of services in multiple programming languages.
• ZOO Services, a growing suite of example Web services based on various Open Source libraries
• ZOO API, a server-side JavaScript API to call and chain the ZOO Services.

ZOO-Project will first be presented in this workshop, along with some technical details about the WPS standard. Participants will then learn how to setup the ZOO-Kernel and to get the WPS server running by following step by step instructions. Some basic WPS Services will be deployed and explained in detail to participants. Afterwards, they will learn how to develop pgRouting WPS Services using Python, trough a detailed scripting example. A ready to use Openlayers client will also be used to interact with the created WPS Services.

Participants will learn how to chain and execute the created WPS Services using the ZOO-API. The results of the chaining will also be published as OGC Web Services (WMS, WFS and WCS), using the ZOO-Project optional MapServer support.

The resulting client application will provide a web user interface for computing and displaying shortest path itineraries. It will also allow to compute and display driving distance and altimetric profiles of a path, but also to search and display POIs around it. All these functionalities will be powered by WPS Services and rendered in the client application.

After this workshop, participants will be able to install and run ZOO-Project, and to create new WPS Services using existing FOSS4G libs or by chaining service calls to build more complex processes.

Setting up a GeoServer can sometimes be deceptively simple. However, going from proof of concept to production requires a number of steps to be taken in order to optimize the server in terms of availability, performance and scalability. The workshop will show how to get from a basic set up to a battle ready, rock solid installation by showing the ropes an advanced user already mastered. The topics that will be covered in details include (but are not limited to):

• Optimize vector and raster data for the deep multi-resolution displays typical of web GIS
• Optimize styling to provide a good balance between map navigability and performance, identifying common performance pitfalls in the styling options
• Setting up caching with GWC for the background layers, identify layers and situations that are not suitable for caching Defend against peak hour load by setting service limits and using the control-flow extension
• Using the monitoring extension to control the server in production and identify sources of trouble (long request, clients making too many/too heavy requests, layers and services used the most that could use more tuning attention)
• Solutions for clustering GeoServer and GeoWebCache
• Challenges in scaling beyond the few hundreds concurrent requests, and solutions to get there
• Discussion of a stage/publishing scenario split, where data and configuration is prepared offline and then published onto a cluster when ready (either manually, or with the REST configuration API)
• Discussion of a live clustering sceneario, where new data is configured on the running cluster, and possible solutions to configuration updates across the cluster based on update frequencies

The workshop will cover some real world examples of enterprise deployments of GeoServer implemented by the author as well as its colleagues at GeoSolutions during the years.

This workshop is dedicated to professionals that needs to collect data from the field and use this information to update or create GIS data, but also to OpenStreetMappers as well as tourists that want to keep a geo-diary. Geopaparazzi is a mobile application for digital field mapping for Android devices developed to support the work of the technicians in the field offering a mapping environment with real time GPS position and a form for structured data collection. The application is easy to use, intuitive and provides just few important functionalities to be used in the field, as for example register GPS tracks and take georeferenced notes and pictures with the possibility to work also off line. The main features available in Geopaparazzi are:

• taking georeferenced notes: texts, pictures, sketches and forms
• logging GPS tracks
• browsing and navigation of the maps and the available data
• easy export of the collected data
• simple preparation of custom background data.

The map view shows the GPS position on the reference background data with the possibility to pan and zoom. From the map view it is possible to add and manage notes and bookmarks and measure distances. Notes and bookmarks can be added directly to the map either in the GPS position or in the center of the map. From a dedicated list view it is possible to visualize, zoom and edit each note.

Background data can be personalized using available local data or on-line services with the possibility to use vector offline Mapsforge basemaps, Mbtiles offline databases, TMS (online and offline tiles) and WMS services. Geopaparazzi supports personalized complex forms with combo and check boxes, text fields (that can be constrained to number or string type), pictures (taken using the mobile internal camera) and sketches organized over multiple tabs.

The workshop starts with an introduction of the application, installation and main features. Then a short section will be dedicated to the preparation of the input data: background maps and vector layers. Following these sections there is a practical testing of Geopaparazzi outdoor in the field. The last section, back in the room, is dedicated to the export of the collected data to be visualized or used in other GIS environments.

pgRouting adds routing functionality to PostGIS. This introductory workshop will show you how. It gives a practical example of how to use the new pgRouting release with OpenStreetMap road network data. It explains the steps to prepare the data, make routing queries, assign costs, write a custom function ‘plpgsql’ function and use the new OpenLayers 3 to show your route in a web-mapping application.

Navigation for road networks requires complex routing algorithms that support turn restrictions and even time-dependent attributes. pgRouting is an extendable open-source library that provides a variety of tools for shortest path search as extension of PostgreSQL and PostGIS. The workshop will explain about shortest path search with pgRouting in real road networks and how the data structure is important to get faster results. Also you will learn about difficulties and limitations of pgRouting in GIS applications.

To give a practical example the workshop makes use of OpenStreetMap data. You will learn how to convert the data into the required format and how to calibrate the data with “cost” attributes. Furthermore we will tell you what else pgRouting provides beside support for “Dijkstra”, “A-Star” shortest path search and what has been added recently to the library. By the end of the workshop you will have a good understanding of how to use pgRouting and how to get your network data prepared.

To learn how to get the output from rows and columns to be drawn on a map, we will build a basic map GUI with OpenLayers 3. We listened to the students feedback of the last year’s and want to guide you through the basic steps to build a simple browser application. Our goal is to make this as easy as possible, and to show that it’s not difficult to integrate with other FOSS4G tools. Writing a custom PostgreSQL stored procedure in ‘plpgsql’ will allow us to make shortest path queries through Geoserver in a convenient way.

In geosciences, and especially in the fields of remote sensing and geomatics, frequently large amounts of raster data need to be stored and processed efficiently. Rasdaman is tackling the big data deluge by providing a scalable array database that is capable of storing complex geographic data structures and exposing them through open and standard web services. Actually, the rasdaman team is actively shaping the OGC Big Geo Data standards.

Rasdaman is the OGC Web Coverage Service (WCS) Core Reference Implementation, but also supports WMS and WPS, for example. A particularly exciting extension of the WCS service is the Processing Extension. This links in the Web Coverage Processing Service (WCPS) which allows users to exploit the flexibility of a fully fledged query language for coverages to request ad-hoc parallel processing directly on the server, minimizing data transfer and response times. With that in mind, our proposed workshop will follow this structure:

Presenting the core concepts and technology:

• The rasdaman array model and its query language
• The GMLCOV model
• The Web Coverage Service and its extensions

Hands-on exercises, experimenting with real data using the above mentioned services. Workshop participants will:

• Deploy rasdaman and its required components to create a local service
• Learn how to ingest data into rasdaman and how to expose it as a coverage. Three types of coverages will be handled (2D rectified imag, 3D regular time series of satellite imagery,3D irregular time series of satellite imagery)
• Learn how to use the WCS service to access coverages
• Explore the extensions of the WCS service and the functionality that they provide
• Ad-hoc process the coverages using WCPS queries

During the second half of the workshop we will show how the OGC web services and the OSGeo software stack perform in a real case scenario, by using the PublicaMundi software. PublicaMundi (http://publicamundi.eu) is a EU FP7-ICT project aiming to make the open geospatial data easy to publish, view and reuse.

For this workshop, the attendees will be presented with an overview of the functionality of CKAN and PublicaMundi spatial extensions, and they will have the chance to experience how easy it is to publish open data, through a demo deployment of PublicaMundi on local virtual machines. The workshop attendants will perform the following tasks:

• Upload and publish vector and raster datasets
• Create new metadata records (with support for various schemas, including INSPIRE) or upload existing metadata files
• Work with the integrated pycsw catalog (search through CSW and OpenSearch APIs)
• Modify existing records
• Ingest published vector and raster datasets to WMS, WFS, WCS endpoints
• Preview uploaded data and services.
• Introduction to PublicaMundi Mapping API
• Introduction to PublicaMundi DataAPI
• Administration tasks and Data Analytics

OpenSensorHub (http://www.opensensorhub.org) is a new open source software community focused on the development and deployment of a new software stack, developed in Java, that aims at supporting the full vision of the OGC® Sensor Web Enablement (SWE) suite of standards, as well as some IoT protocols. The ultimate desire is to make it easy to deploy all types of sensors/actuators (in-situ and remote sensors, mobile or static, etc.) in a cross-domain context and interconnect them through the web in a fully interoperable manner.

SensorHub instances can be deployed on many platforms ranging from Android phones and embedded ARM boards to desktop computers and large computing clusters. All these types of instances can be interconnected via open standards to form larger networks. To keep its size small on embedded devices, the software is modular so that only the necessary components need to be deployed in each instance. Connection of new sensors is done via the development of specific Java drivers or the simple configuration of more generic drivers. Once a sensor is connected, it can be automatically and immediately exposed through various web services, allowing discovery, data access, processing, and tasking.

The workshop will start with an introduction and architecture review of the OpenSensorHub software. We will study its modular, event-based design and the main components of its public API. We will then focus on how to deploy sensor drivers and SensorML process chains on SensorHub and configure SWE services to expose their capabilities (e.g. data access, tasking, etc.). Participants will then see how to configure local storage for sensor measurements, add stream processing capability and upload the resulting data to a SensorHub instance in the cloud. All these configuration steps will be done via the web-based administration interface. Results will be viewed in a web-based client written entirely in Javascript and leveraging Leaflet and Websockets to display various sensor measurements in a geospatial context.

In the next part of the workshop, we'll work with the participants to develop a new sensor driver and a simple stream process using the public Java APIs. We will then deploy the new components to our running instance of SensorHub to illustrate the remote “hot deployment” capability using OSGI, and see how these new components can be administered right away through the web administration interface. Finally, we'll modify the web client code to display data generated by these new components.To conclude the workshop, we will initiate a discussion to collect suggestions and new ideas of improvement for the next release.