[GeoNode-users] Advice for whether I should use Geonode for my spatial data platform

Francesco Bartoli xbartolone at gmail.com
Sun Sep 27 04:24:36 PDT 2020

Hi Adi,

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.
For this reason I would suggest to use a GeoNode project https://github.com/GeoNode/geonode-project approach which is basically a standard django project that inherits the code base as a library.
In other words, you could continue your current project while adapting it to GeoNode and exploiting its core functionalities like points .4 and .5.

Hope this helps
Il 27 set 2020, 12:44 +0200, Adi Eyal <adi at openup.org.za>, ha scritto:
> Apologies in advance if this is the wrong list for my question.
> 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: https://beta.youthexplorer.org.za/, code can be found here and here.
> 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.
> My main requirements are:
> 1. A set of spatial hierarchies can be loaded - e.g. country, province, district, etc.
> 2. Arbitrary tabular datasets can be uploaded which links with these hierarchies through some sort of natural key - e.g. ISO3166 code for countries.
> 3. Data can be shaped by an administrator through grouping and filtering - e.g. our typical datasets might have the following structure:
> Geography,Gender,Age,Count
> AUS,Female,20, 500
> AUS,Male,20, 450
> AUS,Female,21,467
> AUS,Male,21,567
> DRC,Female,20, 786,
> ...
> ZWE,Male,21,785
> 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.
> 4. Serving the spatial boundaries + data via API
> 5. A frontend mapping interface that allows the user to navigate the geography hierarchy and display the tabular data.
> 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.
> It seems logical to consider GeoNode for handling some of the backend features given the strong community and robustness of the codebase.
> Any thoughts or advice would be greatly appreciated.
> Regards
> Adi
> --
> Adi Eyal
> Director, OpenUp
> 1 Thicket Street, Newlands, Cape Town
> www.openup.org.za | +27 21 671 6306
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