UNTraining

Welcome to the UN training page

GeoForAll is supporting UN in their migration to geospatial open source applications. In this page we list the training material available for some products that UN will use. Please add your training material here, putting also the reference to all data used in such a way that everybody in using your material can be autonomous.

• QGIS

• • FOSS4G GeoAcademy Curriculum - 35 hands-on labs written primarily for QGIS with some cross over with GRASS and Inkscape. Labs are aligned to the Geospatial Technology Competency Model. Development was sponsored by a Department of Labor Grant and is released under Creative Commons Attribute 3.0 Unported license. All labs currently written for QGIS 2.8, but we are about to release labs for QGIS 2.14. In addition to labs, lecture material is also developed and being uploaded. All lab instructions and data are available online on our lab website.
    • Link to material: http://spatialquerylab.com/foss4g-academy-curriculum/
    • Lab: Spatial {Query} Lab - http://www.spatialquerylab.com
    • Point of Contact: Rick Smith - Richard.Smith@tamucc.edu
    • Mailing Address: 6300 Ocean Dr., Unit 5868, Corpus Christi, TX 78412-5868, USA

Add here: short description (at most 5 lines), URL, Lab name, mailing address of the point of contact

• Geoserver

Add here: short description (at most 5 lines), URL, Lab name, mailing address of the point of contact

• OpenLayers

Add here: short description (at most 5 lines), URL, Lab name, mailing address of the point of contact

• PostreSQL

Add here: short description (at most 5 lines), URL, Lab name, mailing address of the point of contact

• PostGIS

Add here: short description (at most 5 lines), URL, Lab name, mailing address of the point of contact

• Geonode

Add here: short description (at most 5 lines), URL, Lab name, mailing address of the point of contact

• rasdaman
  • Big Geo Data Lab - Spatio-temporal sensor, image, simulation, and statistics data of unlimited size are served rapidly by rasdaman ("raster data manager"). As a multiparallel, distributed analytics engine, rasdaman achieves unparalleled service flexibility, scalability, and performance. Being OGC WCPS and WCS Core Reference Implementation, rasdaman enables access, subsetting, and processing on the fly using open standards interfaces. The WCS suite is a central cornerstone for SDIs: a large, growing number of open-source and proprietary tools supports it (MapServer, GeoServer, OpenLayers, QGIS, ESRI ArcGIS, ...) and the OGC standards are under adoption by ISO (as forthcoming 19123-2) and INSPIRE ("Coverage Download Service"). Significant training material is available already, and is being augmented continuously:
  • Link to material: OGC Big Geo Data standards and rasdaman workshops | hands-on lab on Big Data Standards | Big Earth Data (53min TV documentary)
  • Point of Contact: Peter Baumann - baumann@rasdaman.com