@inbook{061bf04a0bc6494dac2d1921b80d5b5e,
title = "Implementing spatial analyzer module into a distributed GIS-application",
abstract = "To improve the distributed spatial recovery by means of Geographical Information Systems (GIS), a Distributed GIS-Application (SIGETAM) has been designed. This application is focused on recovering and making spatial analysis, throughout Spatial Analyzer Module (SAM). SAM contains several spatial and mathematical models that have been designed and implemented for detecting landslides and flooding areas. Users can make an analysis to recover the spatial data from different sites, using a specification based on Extensible Markup Language (XML), which is represented by Document Type Definition (DTD). Spatial data are stored into a spatial database. Moreover, all spatial processes are executed in the server application to improve the performance of the spatial analysis. SIGETAM is an application that has been developed to be used by the government of Tamaulipas state, Mexico. This application helps in the decision making process to detect risk areas.",
author = "Miguel Torres and Serguei Levachkine and Marco Moreno and Rolando Quintero and G. Guzm{\'a}n",
year = "2004",
doi = "10.1007/978-3-540-30078-6_68",
language = "Ingl{\'e}s",
isbn = "3540229167",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "406--409",
editor = "Roland Traunmuller",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Alemania",
}