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Component for the visualization of a spatio-temporal data warehouse in a Geographic Information System

3 pagesPublished: February 16, 2023

Abstract

In the Database Laboratory of the University of A Corun ̃a, we have a software product line for the creation of Geographic Information Systems (GIS) on the web. In the case that the data is available in a data warehouse, the current functionality of the product line is not enough. Therefore, it is necessary to create a component in charge of connecting the data warehouse with the user interface providing the usual functionality (filters and aggregations in the different dimensions of the data warehouse).
Given that integrating the functionality and variability of the exploration of a data warehouse in a software product line is complicated, we have opted for a first approximation to define an exploration component in a GIS of any data warehouse. The component receives, utilizing a domain-specific language, a description of the data model (i.e. the facts and the hierarchy of dimensions, how each of them is related, and the way to retrieve their values) and makes the user interface components independent from the management of the communication with the data warehouse.

Keyphrases: data warehouse, domain specific language, geographic information systems

In: Alvaro Leitao and Lucía Ramos (editors). Proceedings of V XoveTIC Conference. XoveTIC 2022, vol 14, pages 139-141.

BibTeX entry
@inproceedings{XoveTIC2022:Component_visualization_spatio_temporal,
  author    = {Victor Juan Lamas Sardiña and Alejandro Cortiñas Álvarez and Miguel Rodríguez Luaces and Óscar Pedreira},
  title     = {Component for the visualization of a spatio-temporal data warehouse in a Geographic Information System},
  booktitle = {Proceedings of V XoveTIC Conference. XoveTIC 2022},
  editor    = {Alvaro Leitao and Lucía Ramos},
  series    = {Kalpa Publications in Computing},
  volume    = {14},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {/publications/paper/zlWn},
  doi       = {10.29007/kd9d},
  pages     = {139-141},
  year      = {2023}}
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