Resultados del Tutorial ISSTOCAM WebGIS

From OSGeo
Revision as of 08:10, 9 December 2006 by Arnulf Christl (Talk | contribs) (Software used)

Jump to: navigation, search

This page shows some screenshots of the results of a 6 day WebGIS workshop at the IODE Project Office (UNESCO/IOC) in Oostende, Belgium. Paticipants came from Ecuador, Colombia, Peru, Chile, online resources from Brazil and a special guest from Belgium. During the course the page Sudamerica was created and some of the participants left their traces in this Wiki. Contact them or hack the correpsonding page if you are interested to further this local chapter, workgroup, page of interrest or whatever it will turn out to be.

Used Software

During the course a lot of software has been installed some of which is explicitlz mentioned here including the reason why it was included.

FOSS Geosptial Software

  • MapServer
  • GDAL/OGR
  • GeoServer
  • PostGIS
  • Mapbender
  • QuantumGIS

System Software

  • Apache http Server
  • PostgreSQL

Used Data Sets

The attendees of the course brought a broad set of data including arid zones of south america, water quality stations, topographic maps, rivers as lin strings, etc.

Screenshot of Bathimetric data off the Brazilian Coast

This screenshot shows several WMS services, one with bathymetric data off the Brazilian coast. Check Sudamerica for the corresponding WMS GetCapabilities URL.

Brazil batimetria.png

Screenshot of Arid Zones in Sudamerica

The data comes as shape files and has been added to a MapServer as WMS and WFS. For usability reasons later WFS was also added using GeoServer.

Zonas Aridas en America del Sud

Screenshot of Microbiological quality of the water of Colombia

The data comes as shape files and has been added to a MapServer as WMS and WFS. For usability reasons later WFS was also added using GeoServer.

Microbiotic Water Quality in Colombia

Pantalla de las Zonas Aridas de Colombia

Los datos son capturados desde una base de datos en postgreSQL con la ayuda de Mapserver como WMS y WFS.

ColombiaZA.jpg

Pantalla de las Zonas Aridas del Peru

Los datos son capturados desde una base de datos en PostgreSQL / PostGIS con la ayuda de MapServer como WMS y WFS.

Zonas aridas del peru.png