Difference between revisions of "UNTraining"

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*'''GeoSolutions Workshops''': [http://www.geo-solutions.it Website]
 
*'''GeoSolutions Workshops''': [http://www.geo-solutions.it Website]
 
** '''Link to Material''': [http://geoserver.geo-solutions.it/edu/en/ Four days worth of training material, from the basics to advanced, deployment, performance optimization, clustering, ...]
 
** '''Link to Material''': [http://geoserver.geo-solutions.it/edu/en/ Four days worth of training material, from the basics to advanced, deployment, performance optimization, clustering, ...]
 +
** '''Link to Material''': [http://geoserver.geo-solutions.it/multidim/en/ Spatio-temporal data handling with GeoServer]
 
** '''Link to Material''': [http://geoserver.geo-solutions.it/complexfeatures/ Complex features support and mapping with Hale]
 
** '''Link to Material''': [http://geoserver.geo-solutions.it/complexfeatures/ Complex features support and mapping with Hale]
 
** '''Point of Contact''': Andrea Aime - [mailto:andrea.aime@geo-solutions.it andrea.aime@geo-solutions.it]
 
** '''Point of Contact''': Andrea Aime - [mailto:andrea.aime@geo-solutions.it andrea.aime@geo-solutions.it]

Revision as of 01:57, 12 April 2016

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

  • Official manual + training manual: http://docs.qgis.org - Point of contact: QGIS Project Steering Committee
  • 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.

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


gvSIG

gvSIG is a powerful, user-friendly and interoperable GIS. It is easy to work in a variety of formats, vector and raster files, databases and remote services. There are always available all kinds of tools to analyze and manage geographic information.

gvSIG Desktop is designed to be an easily extensible solution, allowing thus continually improving the software application and developing tailor made solutions. It is open source software, GNU / GPL license, this makes its free use, distribution, study and improvement. gvSIG Desktop integrates NASA World Wind, so it allows to work with 3D Views.

gvSIG Online is an Open Source solution for Spatial Data Infrastructures. It is an integral platform for the Spatial Data Infrastructure (SDI) implementation, 100% open source software. A fast and powerful solution for start up the infrastructure necessary to manage spatial data in an organization in an efficient way.


GeoServer

GeoServer is an open source server for sharing geospatial data. Designed for interoperability, it publishes data from any major spatial data source using open standards.

OpenLayers

OpenLayers is a high-performance, feature-packed library for all your mapping needs.

PostgreSQL

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

PostGIS

PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.

  • University of Colorado Denver FOSS4G Lab: CU Denver FOSS4G Lab
    • PostgreSQL-PostGIS Tutorial Series Series of 7 tutorials covering the basics of PostGIS for spatial data handling and analysis.
    • Link to material: PostgreSQL-PostGIS Tutorials
    • Point of Contact: Rafael Moreno - Rafael.Moreno@ucdenver.edu

GeoGig

GeoGig is an open source tool that draws inspiration from Git, but adapts its core concepts to handle distributed versioning of geospatial data.

GeoNode

GeoNode is a web-based application and platform for developing geospatial information systems (GIS) and for deploying spatial data infrastructures (SDI).

Rasdaman

  • 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

OSGeo-Live

OSGeo-Live contains 50 of the best geospatial applications, pre-installed with datasets, along with project overviews and 10 to 15 minute quickstarts for each application. The documentation provides an excellent high level overview of the breadth of geospatial open source applications. It is also used as a plaform for many open source geospatial workshops.

  • Bringing GEOSS services into practice

The "Bringing GEOSS services into practice" workshop aims at teaching how to configure, use and deploy a set of open source software (PostGIS, GeoServer, GeoNetwork, PyWPS, QGIS) to set up a spatial data infrastructure (SDI). Trainees will learn how to publish and share data and metadata using OGC and ISO standards and how to register services into the Global Earth Observation System of Systems (GEOSS).

Website: http://www.geossintopractice.org

Lab: GeoForAll - ISE, University of Geneva: http://www.unige.ch/tigers/fr/autres-reseaux/geoforall/

Contact: Gregory Giuliani <gregory.giuliani AT unige.ch>

GeoMOOSE

GeoMOOSE is a Web Client JavaScript Framework for displaying distributed cartographic data. GeoMOOSE has a number of strengths including modularity, configurability, and delivers a number of core functionalities in its packages. GeoMOOSE is also very light weight for servers making it easy to handle a large number of users, with a large number of layers, and a large number of services without stressing a server.

The GeoMOOSE core is written using JavaScript and HTML. It is entirely possible to run GeoMOOSE with nothing more than a basic web server (Nginx, Apache, IIS). But besides the basic client core, GeoMOOSE also comes prepackaged with a number of built in services written in PHP. These services add the ability to perform drill-down identify operations, selection operations, and search data sets. If you have existing scripts that perform similar functions, GeoMOOSE can be tuned to work with those services, no matter which language they were written in.


GET-IT

GET-IT - Geoinformation Enabling ToolkIT starterkit, supports researchers and professional in the creation of autonomous, distributed nodes of a Spatial Data Infrastructure and uploading research results in the form of maps/observations (and related metadata). GET-It supports domain researchers and professional in the creation of OGC standard services like WMS, WFS, WCS, CSW, and SOS. GET-It is based on GeoNode, contains pyCSW, 52° North SOS Server, Geoserver, PostgreSQL, PostGIS, OpenLayers and also contains EDI, a general purpose, customizable, template-driven metadata editor. The suite is the first open-source collaborative effort toward the integration of traditional geographic information with observational data.

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