InterCarto InterGIS最新文献

{"title":"Historical and geographical periodization of the process of landscape development of the Crimean peninsula in the ancient era and the middle ages","authors":"Ludmila Vampilova, A. Manakov, E. Seidaliev, T. Smekalova","doi":"10.35595/2414-9179-2022-2-28-447-463","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-447-463","url":null,"abstract":"There are several approaches to the process of studying the history of the formation of ethnic groups in the region, in particular, the historical-socio-geographical one, in which the influence of the natural (landscape-paleogeographical) factor on the processes of development and settlement of the territory is considered in a retrospective aspect. The purpose of the study is to show the need to take into account the historical process of territory development, i.e. conducting a retrospective analysis in assessing the landscape-ethnographic situation. Along with natural methods, archaeological methods are used (excavations, stratigraphy of cultural layers, methods of absolute dating, metallography) and historical and sociocultural (historical sections, diachronic, comparative). Comprehensive historical and geographical information is necessary for almost any geographical research. The spatial and temporal basis of the regions provides for the creation of an information database (history of landscape development during the existence of man, in particular, changes in nature management practices) and includes the obligatory historical and geographical analysis and synthesis of the region, carried out by studying event processes and their consequences. As a result, a historical-geographical periodization is created, which makes it possible to study the relationships in the “landscape–ethnos–nature use” system over historical time and determine the dynamics of the formation of the ethnic picture of the region. In the course of the study, the following periods of development of the landscapes of the Crimean Peninsula were identified: the Late Bronze Age, the Early Iron Age, antiquity and the Middle Ages. The synthesis of the obtained information makes it possible to create schemes of historical-geographical zoning into multi-temporal slices. The results obtained will make it possible to trace the continuity of the cores of the formation of ethnic communities, models of their settlement systems, schemes of migration processes for various time slices. The practical significance of the project lies in the creation of a series of electronic maps of the change in the ethnographic situation of the Crimean peninsula during human development, which will be completed with an integral geographic information system.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"87 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69899276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GIS mapping excess mortality in Europe in 2020–2021 on the background of the coronavirus pandemic","authors":"Anton Mushtaykin, S. Teslenok, I. Semina, Samat Ilkaev","doi":"10.35595/2414-9179-2022-2-28-332-346","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-332-346","url":null,"abstract":"The first officially recorded case of severe acute respiratory infection caused by SARS-CoV-2 coronavirus (2019-nCoV) was reported in the People’s Republic of China in late 2019. Since then, the virus has spread rapidly across the planet. On 30 January 2020. The World Health Organization (WHO) designated the outbreak as an emergency and as early as 30 March 2020 it declared the disease a pandemic, named COVID-19. At the beginning of April 2022 there were more than 500 million cases and 6 million deaths according to this organization. The latter figure however immediately raised questions—among doctors and scientists alike—as it has not yet been possible to develop a uniform approach to its recording around the world. Therefore, in this paper, the choice of the excess mortality indicator is justified in its mapping presentation, whose main advantage is that it can be used to represent both the losses from COVID-19 itself and the consequences of the increased burden on public health systems. The visualization of such data using modern geo-information technology is relevant both at present, against the background of the ongoing COVID-19 pandemic, and in the future, when dealing with its consequences. The main specificity of the territory under study—Europe (including both countries wholly located in this part of the world and parts of it—including Kazakhstan, Russia and Turkey, as well as Azerbaijan, Armenia, Georgia and Cyprus, geographically located in Asia)—is sufficient similarity of basic demographic indicators of countries with different approaches to pandemic control applied in each of them. This enables us to use maps to highlight whether they have been successful in this area in the most straightforward way. The geo-referenced mapping materials can be used for further, more in-depth analysis and visualization of coronavirus data using cartographic research at the level of individual states and their smaller jurisdictions.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69899328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radial geochemical barriers in soils of the Perm territory","authors":"M. Kondrateva, I. Samofalova","doi":"10.35595/2414-9179-2022-2-28-901-912","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-901-912","url":null,"abstract":"Geochemical barriers in soils control the composition and intensity of geochemical fluxes of natural and technogenic substances in landscapes. The Perm Territory is an industrial region. The total volume of emissions from enterprises of the chemical industry, oil and gas industry, transport, mechanical engineering, metallurgy, electric power industry in 2020 exceeded 380 thousand tons. A sharp spatial change in relief elements, a wide range of temperature parameters of the climate and moisture conditions create a diverse combination of soil-forming factors and, as a result, the diversity of the soil cover of the region, determine the manifold of geochemical settings and differences in the buffer capacity of soils. The objectives of the study included mapping radial geochemical barriers to assess their spatial heterogeneity in terms of anchoring mechanisms and barrier capacity. The soil map of the Russian Federation at a scale of 1:2500000 served as the thematic basis. The database of soil properties was compiled on the basis of the data of the Unified State Register of Soil Resources of Russia with the involvement of regional sources. All maps and attribute databases for them were created using QGIS version 3.2.2 (Maderia). The mapping technique is based on the “horizon approach,” according to which genetic soil horizons are considered as radial geochemical barriers. Two maps of radial barriers were created: surface biogeochemical barriers and physicochemical barriers of the middle horizons. The estimate of the capacity of the surface organic and organomineral barriers of soils in the region was carried out according to the following indicators: the thickness of organogenic and organomineral horizons, humus content, and granulometric composition. The capacity of surface biogeochemical barriers follows a geographical pattern: from north to south of the region, the capacity of organic barriers decreases and the capacity of organo-mineral barriers increases. Among the intrasoil physical and chemical barriers of the soils of the region, the following were distinguished: carbonate, gley and sorption. In general, the region is dominated by oxidizing conditions with a high-capacity sorption-sedimentation barrier in soils. Podzolic and soddy-podzolic soils, occupying 62 % of the region’s area, have a sorption-sedimentation barrier. Podzols, podburs, brown-taiga soils have a low- and moderately capacious chemisorption barrier. The soils of the forest-steppe are characterized by a moderate sorption-sedimentary barrier. Gley barriers of hydromorphic soils occupy approximately 20 % of the area. These maps can be recommended for inclusion in the “Soils” section of the regional comprehensive geographic atlas.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69899591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hydrometeorological hazards during the winter periods in the Northern Caspian and dynamics under the influence of climatic changes","authors":"A. Magaeva, N. Yaitskaya","doi":"10.35595/2414-9179-2022-2-28-709-718","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-709-718","url":null,"abstract":"Hydrometeorological hazards of the Northern Caspian during the winter periods 1950–2020—due to climatic changes were investigated. Hydrometeorological hazards for the period 1950–2020 are considered: severe winter periods, early ice freeze-up, storm waves, wind surge, as well as cumulative hydrometeorological hazards—combinations of storm waves and surge. Geographic information system (GIS) “Ice regime of the southern seas of Russia” is the information basis for the study of the ice regime of the Caspian Sea. Storm activity in the Caspian Sea were reconstructed using SWAN spectral wave model. Based on the cumulative freezing-degree days winters were divided by severity—mild, moderate and severe. During the study period, moderate types of winters prevail (59.4 %), and the number of severe and mild winters is the same and amounts to 14 pcs. (20.3 %) of each type. Due to climate change, the number of mild winters is increasing, and the number of severe ones is decreasing. Since 1985, 3 severe winters (2002/03, 2007/08, 2011/12) have been recorded. As a result, the ice cover area decreased by ∼7–10 %, and the duration of the ice season at the observation point Peshnoy was reduced by 5 days. 157 situations of combinations of storm surge and storm waves are identified: 140 are cases of potential situations of cumulative phenomena of a combination of storm and surge phenomena with a speed of 15 m/s or more of winds of effective directions. The largest number of cases of cumulative dangerous hydrometeorological hazards with a wind speed of more than 15 m/s is observed in March. After the 2000s there was an increase in the number of cases and duration of dangerous hydrometeorological hazards in November and March. A direct relationship between the number of cases of cumulative dangerous hydrometeorological hazards and the severity of winters has not been found.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69899721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of the anti-deflation efficiency of field-protective forest plants in the dry zone of the Stavropol Krai","authors":"S. Antonov, S. Peregudov","doi":"10.35595/2414-9179-2022-2-28-843-858","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-843-858","url":null,"abstract":"The problem of soil degradation is widespread in many agricultural regions of our country. The Stavropol Territory, as one of the leading agricultural regions, is no exception. It is characterized by the presence of a number of factors influencing the destructive processes in the soil, the main of which are the increase in the anthropogenic load on the soil and the regional features of climate change. In this regard, the relevance of issues related to the development of comprehensive measures to combat degradation processes is increasing every year. A key element of these activities in the Stavropol Territory is the formation of a framework of protective forest plantations, which requires regular monitoring of both their safety and effectiveness. The study was conducted on the territory of the arid zone of the Stavropol Territory. In this zone, the observed regional climatic changes can cause significant damage to the soil cover and significantly reduce the efficiency of agricultural production. Here, the increase in climate extremeness is most acute—an increase in the likelihood of droughts and heavy rainfall. Due to the fact that protective forest plantations are located on vast areas, it is most rational to use modern data processing and visualization systems for their monitoring—geographic information systems and Earth remote sensing data. The author’s technique was considered in the work, which allows analyzing various characteristics for assessing the anti-deflation efficiency of field-protective forest plantations, such as the protective forest cover of the territory and interstrip distances. As part of the study, a technological mapping scheme was proposed based on the formation of a continuous hexagonal surface with data. The presented methodology and technological scheme can be adapted for any agricultural region, taking into account their characteristics.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69899855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving global Geoid by GPS and leveling data over the Fergana valley territory","authors":"D. Fazilova, A. Kazakov, Ilkhom Alimukhamedov","doi":"10.35595/2414-9179-2022-1-28-568-579","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-1-28-568-579","url":null,"abstract":"The Republic of Uzbekistan currently uses the Baltic normal system of heights associated with the quasi-geoid surface. The introduction of innovative technologies of global navigation satellite systems (GNSS) made it possible to determine with high accuracy the geometric heights related to the Earth model — an ellipsoid. For a complex representation of spatial data and analysis of information about the territory, natural resources, man-made objects, their dynamics in the National Geographic Information System (NGIS), first of all, it is necessary to solve the problem of refining the reference vertical coordinate system and ensuring its connection with the global ones, namely, to ensure adjustment of these two height systems. The task is complicated by the fact that for the territory of the country there is no information about the quasi-geoid determined by modern methods, which are necessary for the transition from geometric ellipsoidal heights obtained using GPS measurements to normal heights which are used for solving a wide range of practical problems in various fields of environmental sciences. In recent years, global geopotential models of the Earth (GGM) calculated using various satellite missions has become an alternative solution to the problem. The study considers two high order GGMs (EGM2008 and GECO) to create a system of normal heights for the territory of the Fergana Valley. The height anomaly values for them reach the maximum for the region — about −49 m. The method of constructing parametric models (or corrective surfaces) using leveling and GPS measurements at “common points” was used to refine them. The range of corrections made was from −0.28 m to 0.29 m. Moreover, the GECO model was significantly improved compared to EGM2008 in the flatland part of the study area, which has large geoid anomalies. The Krasovsky ellipsoid and the corresponding Baltic height system were chosen as a reference surface to create in the future a grid for converting heights between local and geocentric coordinate systems. The results of a comprehensive statistical analysis made it possible to reveal that GECO gives a more accurate representation of the region’s relief and is recommended for solving practical problems in the Fergana Valley.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69898024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"About the experience of developing a GIS project of the university campus","authors":"G. Mazhitova, D. Shugulova, I. Sedelnikov","doi":"10.35595/2414-9179-2022-1-28-603-612","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-1-28-603-612","url":null,"abstract":"The article discusses the results of the work on the design and creation of a GIS project of the university campus. A model and methodology for creating a geographical information system (GIS) of the university campus was developed and tested in the Non-profit limited company “Manash Kozybayev North Kazakhstan university” setting. The GIS was created on the basis of open spatial data of the Remote Sensing of the Earth, materials of ground photography and aerial photography from an unmanned aerial vehicle (UAV). Geoinformation mapping and modeling was carried out using specialized programs: ArcGIS 10.4 (ESRI Inc.), Agisoft PhotoScan Professional Edition. The article presents the GIS structure of the campus, its main elements, and describes the stages of development. The work on the creation of GIS included the following stages: the development of its preliminary model and structure, the collection of the necessary initial information and data about the studied territory, the conduct of ground surveys and aerial photography, field work, processing of collected materials in special software applications, the creation of an electronic map and database, filling and correcting the latter. The campus GIS includes a digital cartographic framework and an associated database. Its structure contains a number of modules that combine thematic layers. Along with this, geo-referenced photorealistic three-dimensional models of university buildings were created during the research. A 3D model of the campus was built on the basis of aerial photography materials from the UAV. Developed GIS, its functionality can be useful to the university and find application in solving practical problems. The research was carried out within the framework of grant funding under the Sustainability Living Lab program.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69898138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of the Inerka polygon metageosystems by means of Ensembles of machine learning models","authors":"A. Yamashkin, S. Yamashkin","doi":"10.35595/2414-9179-2022-1-28-613-628","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-1-28-613-628","url":null,"abstract":"The article describes a geoinformation algorithm for interpreting Earth remote sensing data based on the Ensemble Learning methodology. The proposed solution can be used to assess the stability of geosystems and predict natural (including exogeodynamic) processes. The difference of the created approach is determined by a fundamentally new organization scheme of the metaclassifier as a decision-making unit, as well as the use of a geosystem approach to preparing data for automated analysis using deep neural network models. The article shows that the use of ensembles, built according to the proposed method, makes it possible to carry out an operational automated analysis of spatial data for solving the problem of thematic mapping of metageosystems and natural processes. At the same time, combining models into an ensemble based on the proposed architecture of the metaclassifier makes it possible to increase the stability of the analyzing system: the accuracy of decisions made by the ensemble tends to tend to the accuracy of the most efficient monoclassifier of the system. The integration of individual classifiers into ensembles makes it possible to approach the solution of the scientific problem of finding classifier hyperparameters through the combined use of models of the same type with different configurations. The formation of a metaclassifier according to the proposed algorithm is an opportunity to add an element of predictability and control to the use of neural network models, which are traditionally a “black box”. Mapping of the geosystems of the Inerka test site shows their weak resistance to recreational development. The main limiting factors are the composition of Quaternary deposits, the nature of the relief, the mechanical composition of soils, soil moisture, the thickness of the humus horizon of the soil, the genesis and composition of vegetation.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69898149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prospects for creating the atlas information system to the SPNA territory of the metropolis by using crowdsourcing resources (on the example of Pokrovskoye-Streshnevo park)","authors":"O. Markova, Ludmila Emelyanova","doi":"10.35595/2414-9179-2022-1-28-696-711","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-1-28-696-711","url":null,"abstract":"The article discusses the possibility of creating an atlas information system for a specially protected area of a metropolis based on crowdsourcing resources. The Pokrovskoye-Streshnevo park, the smallest natural and historical park in Moscow (∼2.2 km²), was chosen as the object of study. It is distinguished by a harmonious and original cultural landscape that has developed since the end of the 18th century, and high biodiversity, the presence of protected species of plants and animals. Beavers, muskrats, squirrels, weasels, ducks, shelducks and other birds (about 50 species), various fish and insects, forest and meadow landscapes are a valuable recreational resource located not far from the city center. Improvement work has been repeatedly carried out in the park, however, in 2022, the most large-scale radical reconstruction work began, which caused profound changes in the natural environment and put ecosystems at risk of destruction. Such events aroused active resistance from environmentalists, regular visitors to the park, and residents of the surrounding areas, who organized constant interaction to exchange information on environmental issues. Relying on these activists became the basis for designing an atlas information system based on crowdsourced resources. As an example, a map of factual material on plants is given, compiled in the Google Map Maker environment based on field observations of interested persons with photographs and descriptions. In addition, a table has been compiled on plants, including their useful, decorative and dangerous properties of plants, as well as habitat features in the park. In the process of joint research with environmentalists, the following adverse impacts and changes in the natural environment were identified: the destruction and oppression of trees and bushes, the destruction of natural grass cover and its replacement with lawns, the oppression of the animal population, the destruction of the soil layer, the construction of unnecessary roads, incl. paved, changes resulting from the use of construction and transport equipment, incl. severe, excessive lighting of the park, the introduction of building materials and debris into the natural environment, an increase in sealed areas, deformation of slopes, violation of the relief and landscape structure of the park, changes in the hydrological regime. The atlas information system of the Pokrovskoye-Streshnevo park on a crowdsourcing resource has good development prospects.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69898511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration of geographic information systems into in-use medical information systems, data flow management","authors":"I. Kuznetsov, Anastasia Alekseikova, P. Yablonsky, E. Panidi","doi":"10.35595/2414-9179-2022-2-28-261-275","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-261-275","url":null,"abstract":"The article discusses content and some results of a study devoted to the integration of a geographic information system (GIS) with medical information systems (MIS). The GIS is developed upon the basis of QGIS software. The MISs used in Russian medical organizations are discovered, particularly the MISs based upon the Barclay medical database management system (Barclay DBMS). Within the study framework, a three-tier system for the medical geospatial data exchange in an integrated MIS-GIS was proposed; tools and methods were developed for data conversion and transmitting between participants involved into in the medical data management processes. The study is carried out upon data of the St. Petersburg city tuberculosis service; specialists of the SPbNIIF (St. Petersburg Research Institute of Phthisiopulmonology) and SPbCTD (St. Petersburg City Tuberculosis Dispensary) are involved in the research. Developed tools make it possible to monitor and study the spatial distribution and dynamics of of tuberculosis infection cases and concomitant diseases. The study is carried out on the scale of a large city, on the example of St. Petersburg (Russia). As a result of the work done, the implementation of GIS tools into the work of the city medical services has carried out; has ensured prompt detection and mapping of areas having maximal risk of the socially significant diseases spread; has ensured collection and representation to the user (doctor) and to the controlling persons of objective information on diseases structured not only by administrative units (districts and municipalities), but by individual houses and apartments also; the data is represented in the form of intuitive cartographic images; assistance is provided to medical specialists in the formation of an effective disease prevention system and in the identification of strong and weak elements of the disease control system.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69898544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}