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<div dir="auto">Hi Adi,<br />

<br />

Some of the features that you are looking for are shipped with GeoNode. Others like that specific hierarchy needs a customization on top of the code base.<br />

For this reason I would suggest to use a GeoNode project <a href="https://github.com/GeoNode/geonode-project" target="_blank">https://github.com/GeoNode/geonode-project</a> approach which is basically a standard django project that inherits the code base as a library.<br />

In other words, you could continue your current project while adapting it to GeoNode and exploiting its core functionalities like points .4 and .5.</div>

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Hope this helps

<div dir="auto">Best,</div>

<div dir="auto">Francesco</div>

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<div name="messageReplySection">Il 27 set 2020, 12:44 +0200, Adi Eyal <adi@openup.org.za>, ha scritto:<br />

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<div dir="ltr">Apologies in advance if this is the wrong list for my question.

<div><br /></div>

<div>My organisation is developing a Django-based platform for linking tabular data to spatial data and publishing it online. You can find an initial beta running here: <a href="https://beta.youthexplorer.org.za/">https://beta.youthexplorer.org.za/</a>, code can be found <a href="https://github.com/openupsa/wazimap-ng">here</a> and <a href="https://github.com/openupsa/wazimap-ng-ui">here</a>.</div>

<div><br /></div>

<div>Before going too far down the road, I was wondering whether some, or all of the project could be built on top of GeoNode. A cursory investigation suggests that our use-case is different enough to warrant its own data structures and workflow, but I was hoping that someone more familiar with GeoNode and all of its components might provide better insight. </div>

<div><br /></div>

<div>My main requirements are:</div>

<div><br /></div>

<div>1. A set of spatial hierarchies can be loaded - e.g. country, province, district, etc.</div>

<div>2. Arbitrary tabular datasets can be uploaded which links with these hierarchies through some sort of natural key - e.g. ISO3166 code for countries.</div>

<div>3. Data can be shaped by an administrator through grouping and filtering - e.g. our typical datasets might have the following structure:</div>

<div>Geography,Gender,Age,Count</div>

<div>AUS,Female,20, 500</div>

<div>AUS,Male,20, 450</div>

<div>AUS,Female,21,467</div>

<div>AUS,Male,21,567</div>

<div>DRC,Female,20, 786,</div>

<div>...</div>

<div>ZWE,Male,21,785</div>

<div><br /></div>

<div>Using this raw data. an administrator could create an indicator to show the distribution of Genders by grouping by gender and geography and summing the counts.</div>

<div>4. Serving the spatial boundaries + data via API</div>

<div>5. A frontend mapping interface that allows the user to navigate the geography hierarchy and display the tabular data.</div>

<div><br /></div>

<div>These are all features that have already been implemented. We would however like to create a richer platform though that is able to serve this data through a WFS platform, more robust data management etc.</div>

<div><br /></div>

<div>It seems logical to consider GeoNode for handling some of the backend features given the strong community and robustness of the codebase. </div>

<div><br /></div>

<div>Any thoughts or advice would be greatly appreciated.</div>

<div><br /></div>

<div>Regards</div>

<div>Adi</div>

<div>

<div><br /></div>

--<br />

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