SPEDDEXES Print E-mail

SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDEXES)

SPEDDEX

 

 

 

 

 

 

 

 

 

 


 

About

There are 101 ways to extract spatially-explicit gridded* data, all of which can be found on the Internet. Every single one of these was designed for a specific purpose. Because of this speciality, none of these make an off-the-shelf “Web Service” for Australia’s national gridded datasets now hosted by the National Computing Infrastructure. This results in large amounts of time spent by users manipulating the datasets post-download, greatly slowing their workflow.  We have come up with a conceptual solution, and named it SPEDDEXES: SPatially Explicit Data Discovery, EXtraction and Evaluation Service.


The aim of this workshop is to bring together national teams working on Australian gridded data discovery, extraction and visualisation to focus on creating SPEDDEXES!


CommunityIn this workshop, which will be run like a “Hackfest”, the community will share in the creation of the tool.


 

 

Shared creation leads to shared use and this is the guiding principle of the workshop.


GPL3GNU

The SPEDDEXES tool will be released under the GPL 3 license

SPEDDEXES will provide an opportunity for ecosystem scientists to query data from multiple sources based on spatial, temporal and thematic parameters, and will output both data and statistics calculated on the data in a range of formats depending on the client.


SPEDDEXES will also provide a method to query from a map-based web client. For example, a web-user should be able to select a bounding box (i.e. a rectangle, point or polygon) on a map and request SPEDDEXES to extract data, contained within their bounding box and temporal period of interest. The web-user will also receive statistics calculated on the data in a range of formats depending on the map client’s needs and whether server or client side rendering (e.g. plotting) is required.


The immediate potential use of SPEDDEXES would be for discovery, visualisation and use of eMAST, AusCover, IMOS, BoM and GA high temporal and spatial frequency data.


* gridded data are data that are identified within squares on a map, defined by intervals in latitude and longitude.

 

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The Prototype

 

View a prototype of SPEDDEXES

 

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For enquiries about this project please contact the PIs, This e-mail address is being protected from spambots. You need JavaScript enabled to view it or This e-mail address is being protected from spambots. You need JavaScript enabled to view it

 

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Last Updated on Monday, 02 March 2015 08:10