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Development of an algorithm to analyze data from fishing activities and to generate themes to be visualized via WEB
Nowadays, many projects from the environment area count with the support of
geospatial technologies. These technologies are related directly to concepts such
as computer mathematics, statistics and geospatial databases. This project is based
on this type of technologic development, once it creates an algorithm for the
dynamic definition of sectors to consult and analyze database from the fishing
industry. This tool gives, to the specialists in the fishing administration area,
mainly the ones from the Group of Fishing Studies (Grupo de Estudos Pesqueiros) of
Centro de Ciências Tecnológicas da Terra e do Mar from Universidade do Vale do
Itajaí, a mean of dynamic definition of consultations and geospatial analyses. The
products generated through this tool are themes to visualize points such as the
fishing effort by area units or the abundance of species. In addition, the project
uses the internet as a mean of visualizing themes, distributing the information
among different elements involved with the fishing administration. Handling
geospatial datum via internet is a challenge for this state of the art in
geotechnologies. Besides the technologic limitations, the culture of collecting
datum about fishing activities without the due georeferring contributes to the slow
development of applications in this field. To respond to the proposal, the
algorithm was developed in PHP language, utilizing the PHP Mapscript module from
UMN Mapserver for reading and handling geospatial objects from the PostGIS
database. For the analysis, the /Kernel/ method, widely used by geospatial analyses
in resident geographic information systems, was utilized. The project's result was
incorporated into Mapserver Guarani as a new functionality. The tests made indicate
the viability of this kind of geospatial analysis via internet, opening new
perspectives for handling and visualizing geographic data through the Web.
FOSS4G2006 - Free And Open Source Software for Geoinformatics
Session6 : Webmapping - LBS
Fernando
Simon
fsimon@univali.br
Rodrigo Becke
Cabral
cabral@univali.br
Rafael
Sperb
rsperb@univali.br
Carlos
Bughi
bughi@univali.br
Rafael
Sperb
rsperb@univali.br
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