ICIA Technologies has developed open source in collaboration with the company Neogeo Technologies OpenCarto Web GIS solution.

OpenCarto is a publishing system map data on the internet combining a rich client and a back-office administration of content.

What is OpenCarto?

OpenCarto allows its users to publish data in a GIS web without typing a single line of code or obscure configuration setting. OpenCarto provides access to GIS formatted data in a secure web environment (limited accessor no), authenticated and profiled according to users.
OpenCarto aims at providing a user experience mapping closer to GIS office software offer , with the same functionality and the same user interface (dynamic arrays, context menus, windows ...)

Finally, OpenCarto is the key input to the development of infrastructure and collaborative spatial data corresponding to the recommendations of the INSPIRE Directive:

  • Intelligence metadata
  • Access WMS / WFS independent and authenticated
  • Export data in standard formats (Shapefile, MapInfo, GML, KML)

Eventually, OpenCarto will also directly integrate GPS data, build complex thematic analyzes and have a web thin client for use in PDAs / smartphones.

How geographic data is handled?

Geographic data can be integrated from the main standard GIS of market (Shapefile, MapInfo TAB and MapInfo MIF / MID). They are then processed and stored in a PostGIS database dedicated to this purpose, and separated from the admin database which is in PostgreSQL format. When integrating data, information related to the contents of the new spatial table are stored in the table PostGIS module (size, number of objects, such geometries) to facilitate subsequent handling without making expensive queries.
Thereafter, all cards are built from MapServer WMS queries that directly uses the data from the spatial tables. The couple MapServer - PostGIS provides excellent performance, both on tables with many attributes ( superiority of the data base relative to Shapefile or MapInfo files) on very large files to the geographic extent (optimization extractions with spatial indexing GiST)