Gerenciamento de dados espaço-temporais, terrestres, marítimos e atmosféricos, baseado em grafos

Abstract

The management of spatiotemporal data characterized by terrestrial, maritime, and atmospheric multidomains in an organized, accessible, and consistent storage structure — that supports growth, flexibility, and absorption of heterogeneous data — where information can be extracted with all its integrity, becomes essential in sensitive applications such as: decision-making scenarios, territorial planning, and even in understanding the Earth System. Despite its importance, the management of spatio-temporal data, whether related or not, dynamic and broad spectrum, remains a challenge, due to the need to build a unique data structure involving complexities such as multidimensionality and data heterogeneity. To optimize the storage, retrieval, management, and integration of this data, this work proposes a graph- based approach. The approach responds to the main challenges of integrating spatio-temporal data, designs a conceptual and logical model in a graph-oriented database centered on time and space and implements it, through a pilot project with data located in the States of Rio de Janeiro and São Paulo. Recovery consultations from an operational perspective were conducted to demonstrate its applicability. The results achieved demonstrate that graph-based data management has the characteristics of high scalability, high flexibility, low maintainability and little requirement for computational resources. The approach provides a new reference for developers in the integration of multi-domain spatio-temporal data, whatever they may be.