Organization and management of geographic scenes based on object space
The advent of information intelligence and spatiotemporal big data have significantly broadened the scope of application for geographic information systems(GIS),presenting both opportunities and challenges in the modeling of geographic scenarios.Current paradigms for organizing spatiotemporal data and conceptualizing spatial cognition predominantly rely on a bottom-up approach,which was demonstrated with limitation on low cognition and the fragmented representation of geospatial objects.This is a noteworthy research issue facing the Big Data era,namely the design of new representation models for the integration of objects and knowledge,as well as the collaborative computation of models and objects.This study,inspiring from Leibniz's relative spatiotemporal perspective,establishes an object space-based approach for organization and management of geographic scenarios.The concept of object space was proposed by reviewing the historical evolution of geographic scenarios representation model and literature work on mainstream research domain.Object space is the space of influence of an object,both the inner space of the object and the space of its surroundings.It includes pan spatiotemporal object,object space relationship,calculation and analysis process,which represents object,knowledge and model.For representing and management of object space,a hierarchical model was developed to organize pan spatiotemporal objects according to business requirement and spatial scale.Further,a network model was denoted to represent object space relationship and knowledge,in which node is the objects,and edge is the space relationship.Then,a model classification method based on functional and computational ability was used to organize calculation and analysis process models.Thus,a highly integrated and synergistic"data-knowledge-model"organization and management model was established.The proposed approach was applied in monitoring soil moisture in high-standard farmland in Shandong,which included 44 pan spatiotemporal objects,2 object space relationship network models and 5 calculation and analysis process models.The results demonstrated its efficacy and feasibility in designing and implementing high-standard farmland intelligent automatic irrigation and drainage systems,thereby offered technical support for advancing theoretical research and expanding practical application in geographic scenarios.
object spacegeographic scenariospatiotemporal objectknowledge expressioncomputational model
万方数据
维普
