This work is devoted to the description of a software system that was developed using modern network and geoinformation technologies for analysis of geospatial data. The system includes a client web application, which provides access to mapping services and geoprocessing services published on the GIS server. The approach, which forms the basis of the presented system, allows researchers to access an extensive geodatabase for remote sensing and Earth sciences, as well as a set of tools for their comprehensive analysis.
Zones of higher seismic hazard occupy about 20% of Russia’s territory, and 5% are characterized by extremely high hazard. These latter are, in particular, regions of Caucasus and Crimea with an aggregate population of about 15 M people. In order to assess seismic hazard and to minimize the consequences of possible earthquakes in these regions, a special-purpose database has been created for these regions; this database and a multifunctional user interface for its operation are currently being developed. For the first time, one software environment has integrated the most complete results on recognizing zones of higher seismicity by independent methods and the initial data on which the recognition was based. Thus, the system allows integrated multi-criteria seismic hazard assessment in a given region. The use of a modern geographic informational system (GIS) has made the preparation, organization, and analysis of these data considerably easier. The GIS makes it possible on the basis of a comprehensive approach to seismic hazard assessment to group and visualize the respective data in an interactive map. The analytical and interactive query tools integrated in the GIS allow a user to assess the degree of risk in regions under consideration based on different criteria and methods. The seismic hazard assessment database and its user interface were achieved using ESRI ArcGIS software, which completely satisfies the scaling requirement in terms of both functionality and data volume.
This paper presents software solutions for integration of geoscience data and data processing algorithms based on the Discrete Mathematical Analysis (DMA) in GIS environment. The DMA algorithms have been adapted and implemented within the ESRI ArcGIS software as geoprocessing tools and combined into a single set of tools named "Clustering". This set can be used along with the standard ArcGIS geoprocessing instruments. The tools of the "Clustering" set have also been published on the GIS-server as geoprocessing services providing powerful analytical functions via the Internet. This paper gives a brief outlook of the geoprocessing tools preparation techniques. The results of DMA-based geoprocessing tools' application to geophysical data are also discussed.
Spatial data handling and analysis is one of the most important trends in modern computer oriented geophysics and geology. This article describes a software complex designed for integration of geodata analysis algorithms in a unified geoinformation environment. The developed software system provides access to an extensive geodatabase on Earth sciences and constantly updated catalog of algorithms and requires only a Web browser and Internet connection. This paper contains a mathematical description of some methods of data mining and data analysis, which have been already incorporated into the system. The discussed results also include the application of the algorithms, arranged in a database, to geological and geophysical data within the GIS environment.