Difference between revisions of "A Scaleable and Extensible Online Platform for Spatial IT"
From Lsdf
| Line 3: | Line 3: | ||
The task to this internship is to set up a scalable and extensible online platform for spatial analysis. This platform should support geoscientists to gather, analyse, and visualize spatial and temporal data. Other than classic Geo Information Systems (GIS) the focus of this framework will be a minimal, lightweight and modular framework based on current web technologies. |
The task to this internship is to set up a scalable and extensible online platform for spatial analysis. This platform should support geoscientists to gather, analyse, and visualize spatial and temporal data. Other than classic Geo Information Systems (GIS) the focus of this framework will be a minimal, lightweight and modular framework based on current web technologies. |
||
| + | = Backend development tasks = |
||
| − | = Backend development tasks = |
||
* Object Storage (like Ceph, Lustre or XtreemFS) |
* Object Storage (like Ceph, Lustre or XtreemFS) |
||
| − | * Geo-, array- and document-based databases (like PostGIS, Rasdaman, |
+ | * Geo-, array- and document-based databases (like PostGIS, Rasdaman, CouchDB, Redis) |
| + | * Data from different geospatial file formats (like GeoJSON, GeoTIFF, netCDF or HDF5) |
||
| − | CouchDB, Redis) |
||
| + | * Cacheable and minimal footprint network communication (via REST API and ZeroMQ) |
||
| − | * Data from different geospatial file formats (like GeoJSON, GeoTIFF, |
||
| − | netCDF or HDF5) |
||
| − | * Cacheable and minimal footprint network communication (via REST API |
||
| − | and ZeroMQ) |
||
* Thredds and Tomcat for providing catalogues |
* Thredds and Tomcat for providing catalogues |
||
* Geoserver for providing WMS, WPS, WCPS ans WPS services |
* Geoserver for providing WMS, WPS, WCPS ans WPS services |
||
| + | = Frontend development tasks = |
||
| − | = Frontend development tasks = |
||
* Minimal Webframeworks (like Flask or Django) |
* Minimal Webframeworks (like Flask or Django) |
||
* Map visualisation via Mapbox, Openlayers, Shapely, tippecanoe, CARTO.js or Leaflets |
* Map visualisation via Mapbox, Openlayers, Shapely, tippecanoe, CARTO.js or Leaflets |
||
* Accessibility via REST API |
* Accessibility via REST API |
||
| − | |||
| − | |||
The framework will be split into subtasks and distributed between up to three students given their previous experience with above mentioned technologies. |
The framework will be split into subtasks and distributed between up to three students given their previous experience with above mentioned technologies. |
||
Revision as of 14:50, 13 September 2016
Description
The task to this internship is to set up a scalable and extensible online platform for spatial analysis. This platform should support geoscientists to gather, analyse, and visualize spatial and temporal data. Other than classic Geo Information Systems (GIS) the focus of this framework will be a minimal, lightweight and modular framework based on current web technologies.
Backend development tasks
- Object Storage (like Ceph, Lustre or XtreemFS)
- Geo-, array- and document-based databases (like PostGIS, Rasdaman, CouchDB, Redis)
- Data from different geospatial file formats (like GeoJSON, GeoTIFF, netCDF or HDF5)
- Cacheable and minimal footprint network communication (via REST API and ZeroMQ)
- Thredds and Tomcat for providing catalogues
- Geoserver for providing WMS, WPS, WCPS ans WPS services
Frontend development tasks
- Minimal Webframeworks (like Flask or Django)
- Map visualisation via Mapbox, Openlayers, Shapely, tippecanoe, CARTO.js or Leaflets
- Accessibility via REST API
The framework will be split into subtasks and distributed between up to three students given their previous experience with above mentioned technologies.
