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MOOD platform & covariate data access, query & manipulation

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 Houben, Sarah

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MOOD platform & covariate data access, query & manipulation
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15
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production Year2023
Production PlaceWageningen

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Abstract
Sarah is a scientist within Avia-GIS, Belgium. During the 2023 MOOD Summer School, she gave a demo of the generic part of the platform allows users to visualize different co-variates data layers. Users can import their own shape files on the platform and export a CSV file with the co-variates values in a zone of interest or at specific points (disease cases, traps, sampling points...). The MOOD platform is co-created by the MOOD expert and the end-users. During this summer school, the students were able to test it and to give a feed-back on the actual state of it.
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