How to add my data to the gCube Spatial Data Infrastructure
Overview
gCube offers a comprehensive set of facilities for managing geospatial data.
This "How to" describes how a user can add its own data to the gCube SDI. In particular, the following options are supported:
Once data are published into the gCube SDI they can be accessed and consumed by means of several approaches including:
NB: Please note that it is also possible to visualize and inspect external layers not published in the infrastructure. See GeoExplorer portlet user's guide for more details.
For a more comprehensive list on gCube features, please refer to our User's Guide.
Import an external CSW catalog to the SDI Catalog
External OGC Web-Services can be harvested into the gCube SDI Catalog, making its entries available throughout the infrastructure but still physically hosted on remote services. To do so, please open a ticket here : [1] specifying :
- The OGC interfaces exposed by your service
- Possible credentials needed
- The target VRE in which the harvested entries should be published
- Any other detail of interest
Register your GeoSpatial data in the SDI Catalog
The gCube Framework offers several ways of registering your GeoSpatial data as Layers published inside the SDI Catalog, making them available throughout the infrastructure.
For this purpose, a set of processes are offered by our Spatial Data Analytics facilities:
- Publish ShapeFile
- Publish RasterFile
- Publish Layer from coordinates-referenced data
- Publish Layer from CSquareCode-referenced data
- Publish Layer from GeoSpatial-polygons data
Please refer to this guide on how to execute these algorithms.
For a more comprehensive list of available processing algorithms, please refer to our default provided algorithms list.
Ad-hoc Registration
If none of the existing processes suits your needs, the infrastructure lets you develop, test and run your own algorithms, that can fulfill the registration of your specific datasets.
Please refer to this guide on how to import/develop your own algorithms.
