Metodología para deducir relaciones de linaje en el Catastro de España

En España, los datos catastrales de acceso público, obtenidos a través de la Sede Electrónica del Catastro (SEC), no incluyen información sobre la genealogía o las relaciones de linaje existente entre las parcelas, de forma que la gestión de la información histórica es muy limitada. Este artículo presenta un método para obtener las relaciones de linaje más frecuentes entre las parcelas (agregación y segregación) y propone un prototipo de estructura relacional para el almacenamiento y la gestión histórica de los datos catastrales de acceso público. El proceso de análisis para deducir el linaje se basa en superposiciones espacio-temporales junto con secuencias de sentencias SQL. El método proporciona un 70% de relaciones de agregación y segregación correctas; el resto presentan errores debidos, en general, a anomalías presentes en los propios datos catastrales

A Temporal GIS Approach to Characterizing Geographical Dynamics

Temporal GIS research has historically focused on change, motion, and events. This research introduces a framework to represent concepts of fluid kinematics with the emphasis on the concept of flows. General circulation models (GCMs) and other spatially explicit environmental models produce massive time series of geographic fields (e.g. temperature) that call for effective GIS approaches to elicit temporal information embedded in these model outputs. Common temporal GIS approaches with discrete constructs in space and time tend to overlook the spatiotemporal continuity that is fundamental to the understanding of geographic dynamic fields, such as temperature. Common methods of analyzing climatological characteristics center on trend analysis at fixed locations or monitoring meteorological phenomena, such as storm tracks, to evaluate circulation changes. The proposed temporal GIS framework, on the other hand, uses the velocity of virtual particles with fixed climatological values to capture changes in scalar continuous fields. The resulting spatiotemporal distributions of velocity suggest kinematic flows that can be used to recognize features indicative of geographic processes, such as divergence and convergence of isolines. Summative characterizations of these kinematic features highlight the embedded change and motion in these temporal sets of scalar fields and facilitate understanding and comparing model outputs

A Spatio-Temporal Model for the Manipulation of Lineage Metadata

Nowadays one of the most successful applications of GIS is the management of a land-use cadastre. A lot of corporate GIS databases are in development, they support the legal management and distribution of cadastral maps. However, the propagation of geographical updates toward cadastral databases is still a methodological and technical problem to address in the context of large applications with many different users. This paper proposes a model based on lineage metadata that supports the management of geographical changes in the context of a corporate cadastre application. Geographical and cadastral changes are identified from an analysis of the French cadastre which acts as a case study for the development of our model. The lineage metadata model is based on the application of a direct acyclic graph that permits the management of the evolution of geographical objects and the generation of historical queries. The proposed model is specified and validated with the O2 object-oriented database management system