Modelo de Integração de Dados Espaciais

Abstract

The integration of spatial data is an increasingly important issue, given the growing volume of spatial data from different sources existing in organizations or institutions. It consists of extracting data from different sources and sources (eg from databases), applying transformations (merge, calculate, check for duplicates, search, etc.) to this data and send the results to the target system (user), providing to its users, a unified view of the data and the possibility of being able to manipulate them, leaving out any information that does not apply to the research or consultation. The difficulty of sharing and exchanging spatial data has already been a problem, for the specific case of Mozambique, due to the existence of many institutions that process and use spatial data, according to their interests in terms of formats, standards, etc. ., and users with different interests and needs, wanting to access different sources of spatial data. However, the present work aims to propose and present a data integration model, for the main spatial data shared between public institutions in Mozambique, such as CENACARTA, INE, MINED and DNA, under a catalog of metadata, thus improving the current environment for sharing and exchanging data, and allowing greater availability and use of this data in your decision-making processes. The prototype of a WEB-GIS application, developed as a way to minimize the problems related to the sharing and exchange of spatial data between these institutions, was based on WEB-GIS technologies such as GeoExt, ExtJS, OpenLayers and GeoServer. ExtJS is a client-side JavaScript library for building user interfaces. GeoExt adds extensions to ExtJS that provide basic ExtJS components to the OpenLayers features, which in turn offer the ability to easily place maps on the WEB. As DBMS, PostgreSQL was used with the spatial extension, PostGIS, and the applicability was evaluated in the end, in terms of advantages and disadvantages of the implementation of the proposed model. It is expected that this work will greatly contribute to the improvement of the current environment for sharing and exchanging data and spatial information in the country, through greater availability and use of spatial data, in the format and with the quality desired by its users.