Resultados del Tutorial ISSTOCAM WebGIS

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.


 * Colombia Direccion General Maritima DIMAR; Instituto de Investigaciones Marinas y Costeras INVEMAR
 * Chile Servicio Hidrografico y Oceanografico de la Armada); CAZALAC
 * Brazil (servicio WMS demo de la Universidade do Vale do Itajai
 * Belgium Continental Shelf VLIZ as special guest

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.



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.



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.



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.



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.