Geoinformation system for dynamic spatial clustering of distributed data sources

The results of developing an approach to dynamic clustering of geospatial objects, the distribution of which is characterized by pronounced spatial anisotropy, are presented. An approach to dynamic spatial clustering is proposed based on the analysis of the distribution of Morishita index values, supplemented by clustering based on the attribute values of the corresponding points. A new version of the web application architecture that implements dynamic spatial clustering is proposed, which is a combination of a "pure" architecture and a "model-view-controller" pattern that provides an increase in the modularity of the application, as well as its independence from software frameworks. An algorithm for dynamic spatial clustering has been developed, which in an asynchronous mode provides the calculation of the Morishita index and informational correlation for the formation of a cluster structure of spatial objects in the form of a layer available for rendering.