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The Serval Maps Visualisation Website is designed to support the visualisation of data collected using Serval technologies such as the Serval Maps application, or the Serval SAM application which is used for infield data collection.
Currently there are two visualisations available:
More information about these deployments is available in the following sections. Information on the architecture of the visualisation website is also available.
During the KiwiEx 2013 exercise the Serval SAM application was used to collect data using two forms derived from information received from NZ Red Cross. More information on the application and forms is available here.
The data collected by the Serval SAM application was shared over the Serval Mesh network using the Rhizome file dissemination service.
The data was transfered using Rhizome from the base of operations in the field to a server hosted in New Zealand via a satellite broadband network. The required data was then extracted from the Rhizome data store and copied to the Serval Maps website on our hosting provider service. More information on the tools used to achieve this is available here.
Additional data in the form of GPS traces recorded using Serval Maps were uploaded manually to the website following the exercise. The GPS traces are visualised on this page separate to the information collected using Serval SAM. The GPS traces were prepared for visualisation using the Serval Maps Data Manipulator application.
Feedback from the exercise stakeholders has proven to be very positive.
The Serval Project collaborated with the Marion City Council to investigate the use of the Serval SAM application for recording infestations of the weed known as Caltrop in the Marion City Council area. The collaboration was made possible by a small grant from the Natural Resources Management Board.
Additionally our lead researcher, Paul Gardner-Stephen, has been collecting information on infestations during his trips from and to work on his bike.
The data was collected using the Serval SAM application on both an Android powered phone and an Android powered tablet. Data was collected from the tablet in the lab and uploaded to the website for visualisation.
Initial feedback on the project has been very positive.