InterCarto InterGIS最新文献

{"title":"The use of GIS for the medicinal flora analysis of Russian Regions (on the Perm Region example)","authors":"I. Kalikina, A. Turyshev, A. Kuritsyn","doi":"10.35595/2414-9179-2022-2-28-321-331","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-321-331","url":null,"abstract":"There are many valuable species of medicinal plants growing in the Perm Region. Researchers in the field of medicinal resource studies identify more than 100 species of medicinal plants that grow in the Perm Region. It is necessary to have actual information about the available plant resources for the rational harvesting of medicinal plant raw materials. The purpose of the article is to monitor, evaluate and analyze promising types of medicinal plants in the Perm Region. This becomes possible by conducting resource research using geographic information systems. In this article 27 types of medicinal plants have been studied. The areas of species growth are determined and the main resource characteristics are calculated: the population area, the possible annual harvesting volume. Microsoft Excel software for Windows was used for calculations. As a result of an inventory resource study, the peculiarities of the growth and distribution of 27 types of medicinal plants in the Perm Region were studied and the most promising areas for harvesting medicinal plant raw materials were identified. Population passports have been developed, and thematic maps of the growth of the studied medicinal plants have been created to visualize information. Electronic maps were built in the ArcView GIS 3.2 program using remote sensing data from the GeoMixer web information platform. Thus, our own resource studies in combination with GIS capabilities made it possible to visualize the obtained resource data clearly and easily. The developed thematic maps are a convenient tool for further research and identification of prospects for medicinal plant raw materials harvesting in the Perm Region.","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":"69898812","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":"Mapping of transport mobility of the population of the Republic of Sakha (Yakutia)","authors":"A. Savvinova, M.I. Zakharov","doi":"10.35595/2414-9179-2022-2-28-229-243","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-229-243","url":null,"abstract":"The issues of the transport system development and the population mobility are becoming most relevant in the regions of Arctic and Far East Russia. The article is devoted to the study and mapping of the population transport mobility of the Republic of Sakha (Yakutia). Thematic maps were compiled: “Automobile and air transport network of the Republic of Sakha (Yakutia)”, “Intra-municipal aviation mobility of the Republic of Sakha (Yakutia) in 2020”, “Intra-municipal transport mobility by road of the Republic of Sakha (Yakutia) in 2020” presenting the regional transport system spatial differentiation of the Republic of Sakha (Yakutia) according to these indicators. We distinguished the territorial unevenness of the transport and logistics infrastructure due to the lack of year-round communications in many areas. As a result, there is a spatial contrast in the distribution of population mobility indicators. As a result of the analysis of indicators of intra-municipal aviation and transport mobility by road transport of the population in 2020, a grouping of regions of the Yakutia was made. The highest value indicators of transport mobility by road are charactered in Yakutsk, Aldan, Neryungri and Ust-Aldan municipals; in many Arctic regions, land transport mobility is at a low level. At the same time, the mobility indicator is affected by the motorization of the population and the development of transport services carried out by individual entrepreneurs and private individuals. A relatively high level of aviation mobility is inherent in the Arctic regions (Oleneksky, Bulunsky and Srednekolymsky), this is mainly due to the presence of subsidized flights on socially significant air routes. In comparison with the average indicators for Russia, there is a low aviation mobility, the level of which on local routes is 3 times lower than in Russia. in transport mobility of the inhabitants of Yakutia. The low level of development of local air and road passenger transportation is a consequence of the high cost of transportation in comparison with the income level of the population, which hinders the increase in transport mobility.","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":"69898911","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":"Archaeological GIS of Northwestern Colchis: a tool for the preservation and research of historical and cultural heritage","authors":"G. Trebeleva, Konstantin Glazov, V. Yurkov, A. Kizilov","doi":"10.35595/2414-9179-2022-2-28-484-498","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-484-498","url":null,"abstract":"The territory of Northwestern Colchis, which today includes both the territory of Abkhazia and the territory of Russia (the Greater Sochi region, Krasnodar Krai), in ancient times was the most important contact zone of many peoples, but has been poorly studied archaeologically. Therefore, full-fledged field research and the creation of a specialized GIS of this territory is an urgent problem. Currently, the territory of Northwestern Colchis is a rapidly developing resort region, which threatens the destruction of historical and cultural heritage sites by anthropogenic activities. The existing GIS today includes 1,780 monuments (dolmens, temples, fortresses, settlements, individual locations and burial grounds without architectural remains above the surface) in the form of point objects. But in recent years, with the development of technologies, orthophotoplanes and DEMs have been included in the GIS structure. Shooting from a UAV and including the obtained models in the GIS structure can solve two problems at once: displaying an archaeological monument in the form of a polygonal theme and obtaining detailed layers displaying landscape conditions. This data will significantly expand the capabilities of GIS. The technique of obtaining an orthophotoplan of an archaeological object was worked out during a series of experiments that helped to identify the basic principles for photogrammetric photography in conditions of dense subtropical vegetation. Another important layer in GIS is historical maps. Their analysis, taking into account the analysis of the semantics of toponymy, the analysis of settlement structures in GIS, and analogies with already known monuments, made it possible to localize a number of toponyms with a high degree of probability. In addition to the analysis of historical maps, the settlement structure itself was analyzed, the main clusters were identified, and a predictive model of the missing fortresses of the Pontic Limes was created.","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":"69899006","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":"Cartographic support for the study of intra-agglomeration features of the demographic development of the Ivanovo urban agglomeration","authors":"V. Chikhichin, Ivan Soloviev, E.Yu. Ovsyannikov, J. Zolnikova","doi":"10.35595/2414-9179-2022-2-28-50-68","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-50-68","url":null,"abstract":"The article presents the results of a study of intra-agglomeration features of demographic and migration processes in the territory of the Ivanovo urban agglomeration. The purpose of the work is to visualize the spatial and temporal features of the demographic and migration situation in this territory using GIS technologies. Thematic maps have been constructed, on the basis of which the dynamics of the population of the Ivanovo urban agglomeration from 1989 to 2020 have been analyzed, the main trends in fertility, mortality and natural population growth have been identified, trends in migration processes have been identified. Official statistics data became the information basis for mapping. From 1989 to 2020, the population of the core of the Ivanovo agglomeration decreased by 1.2 times. The largest decrease was observed in rural areas (1.38 times). The main trend of the last three decades is a gradual increase in the area of depopulating agglomeration territories. Currently, the Ivanovo urban agglomeration is experiencing one of the deepest demographic crises in Russia. The stability of the demographic development of the Ivanovo urban agglomeration in conditions of deep depopulation of the population largely depends on migration processes. However, its migration attractiveness is very low. Demographic development has territorial differences within the agglomeration. The most favorable situation is developing in the satellite city of Kohme and the suburban Ivanovo district. During the pandemic, the natural decline of the population has significantly increased and there has been a tendency to change migration trends. Many territories with a steady outflow of population have experienced a migration increase due to the return of migrants to their homeland, which somewhat mitigates depopulation processes.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69899138","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 benthic vegetation biotopes of the Dzhangul coast","authors":"T. Pankeeva, A. Drygval, N. Mironova","doi":"10.35595/2414-9179-2022-2-28-614-631","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-614-631","url":null,"abstract":"The article reflects research, where for the first time mapping of benthic vegetation biotopes of the protected area “Coastal aquatic complex near the Dzhangul landslide coast” is carried out using GIS-technologies. The research is carried out on the basis of the expedition materials analysis collected in the coastal zone in the summer period of 2013. As a result of the work a bathymetrical map, maps of bottom sediments and habitats of the key macrophytobenthos species (Ericaria crinita, Gongolaria barbata, Nereia filiformis, Phyllophora crispa) and biotopes are compiled. Benthic vegetation biotopes classification is based on cartographic materials. Five biotopes are identified, described and analysed for their spatial distribution in the natural protected area. It is shown that biotopes with “Сystoseira” and Рhyllophora phytocenoses occupy the largest area in the coastal zone. These biotopes have a high conservation status at the regional, federal and international levels. In the deep-water zone of the protected area the biotopes with Nereia filiformis and Phyllophora crispa (drifting form), unique and rare for the Crimean coastal area have been identified. This area is found to be a peculiar reserve of both attached and drifting forms of Phyllophora crispa for the western coastal area of Crimea. Biotope classification and its conservation status are given according to international legislative documents (EUNIS, Annex 1 code, European Red List of Habitat). The development of a classification, mapping and inventory of habitats, and the preparation of a biotopes list in need of conservation, are urgent scientific tasks. The results can be used for monitoring protected benthic vegetation habitats and controlling their condition.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69899220","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 methods to research spatial inequality of population income distribution in Argentina","authors":"A. Gladkiy","doi":"10.35595/2414-9179-2022-2-28-34-49","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-34-49","url":null,"abstract":"Argentina is a country with a very specific system of territorial division carried out for the optimization of public administration and collection of statistics. Historically developed spatial heterogeneity of socio-economic development has several specific features, as well as non-trivial factors, due to which the country is formed by a peculiar pattern of territorial inequalities. In addition to administrative divisions into provinces and departments, Argentina has a number of statistical division grids for the lower scale levels. However, the organization of the collection of statistical data for different levels of territorial division is not optimal: for a number of regions, statistical data in the public domain are practically absent, or presented in aggregated form. The aim of the research is to identify territorial differences in socio-economic development between regions and at various scale levels. The use of GIS methods made it possible to obtain the missing data for the lower level of territorial division, such as the spatial data on the administrative boundaries, population and income. The analysis of spatial autocorrelation of income distribution in Argentina can identify regions of growth as well as the influence of local factors on the territorial inequality in Argentina. The value of the coefficient of spatial autocorrelation of population income is one of the highest around the world.","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":"69899389","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":"Creating an index of demographic development of countries and regions on the example of Mongolia and its immediate environment, using GIS technologies","authors":"V. Gaydukov, A. Zheleznyakov, V. Tikunov, I. Tikunova","doi":"10.35595/2414-9179-2022-2-28-86-110","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-86-110","url":null,"abstract":"This article presents the results of the creation and formation of an effective system of indicators for calculating the index of demographic development of countries and their regions (using the example of Mongolia and its immediate environment). As the content and use of statistical data, the authors rely on the most comprehensive and interpretable indicators available at the studied territorial levels. Thus, within the framework of the study, a statistical database of basic demographic indicators was collected, which included data on the number of births, deaths, natural growth, migration growth in the countries of the world, as well as in the regions of the studied countries (China, Kazakhstan, Mongolia, Russia, Uzbekistan) for 2018. The study was based on the official statistics of the Eurasian countries of international organizations. Within the framework of this work, the authors also prove the effectiveness of using the obtained indices, as well as the selected set of indicators. Also, using GIS technologies, informative materials were created within the framework of the study for an effective analysis of the demographic situation of the countries of Eurasia and their regions on the example of Mongolia and its immediate environment. Based on the materials obtained, the main features of the demographic situation at various territorial levels are described using a single set of indicators, a comparative analysis of current trends in demographic development in the world, on the territory of Eurasia, as well as in the regions of Mongolia and its surrounding countries is given. The ultimate goal of this work is to form a basic system of indicators for creating an integral index of demographic development of the countries and regions of Eurasia, capable of becoming part of a common system of indices reflecting the socio-economic development of the countries and regions of Eurasia. Which in the future will become part of a full-fledged atlas information system (AIS) of Socio-economic development of the Eurasian Academy of Sciences.","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":"69899471","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":"Geoinformation assessment of spatial distribution and functioning of irrigated lands of the Svetloyarsky District of the Volgograd Region","authors":"E. Denisova","doi":"10.35595/2414-9179-2022-2-28-859-870","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-859-870","url":null,"abstract":"Geoinformation assessment of spatial data is carried out in order to establish the condition and location of irrigated lands on the territory of the Svetloyarsky District of the Volgograd region, as well as their geomorphological characteristics using remote sensing data, digital terrain models, soil maps. The results of the study make it possible to develop a system of socio-economic measures for the effective use of agricultural land and land management. The objectives of the study included: establishing the spatial position, geometric, soil characteristics of irrigated arable land in the study area, as well as developing a map of the distribution of irrigated land, taking into account their use. The boundaries of 1423 plots of irrigated arable land with an area of 52,300.1 hectares have been determined, with the specification of their configuration, spatial placement, relief, exposure based on remote sensing data. The average slope angle of irrigated arable land is 1.16°, the average size of the irrigated arable land plot is 36.6 hectares. The largest area of distribution (33,637.1 hectares) was received by irrigated lands on a slope steepness of 0.5°–1.0°. To a greater extent—60.8 % of irrigated lands are located on chestnut salt flats with light chestnut salt complexes. The proportion of light chestnut salty with chestnut salt is 13.5 %. On other types of soils, irrigated lands occupy from 0.6 % to 7.4 %. The calculated value of potential soil flushing in the areas of irrigated arable land most susceptible to the spread of erosion processes ranges from 6.4 t/ha to 35.1 t/ha. Obtaining data on the condition and functioning of irrigated lands on the basis of geoinformation technologies is aimed at preserving soil fertility and maintaining the conditions for the functioning of the agricultural landscape as a whole.","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":"69899908","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":"Cartographic analysis of agricultural landscapes of the transition zone of chestnut and light chestnut soils of the Volgograd region","authors":"V. Silova","doi":"10.35595/2414-9179-2022-2-28-926-934","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-926-934","url":null,"abstract":"The results of studying the structural components of agricultural landscapes by geoinformation methods can quickly assess the current state of the land, identify the impact of elements on the landscape and the stability of land use itself. Cartographic analysis of agricultural landscapes of the transition zone of chestnut and light chestnut soils of the Volgograd region is carried out using geoinformation methods and techniques to assess their condition based on the results of decoding satellite images, allows you to display spatial features and identify patterns of changes in landscape objects. Mapping of the test site in the Kalachevsky District of the Volgograd region allowed us to estimate the area of the agricultural landscape at 9498.6 hectares, of which arable land occupies 41.6 %, protective forest strips of artificial origin—4.4 %, the rest of the territory is occupied by a gully–beam system. The relief features are a height difference of 32 m and a maximum slope angle of 3.45°. 3958.1 hectares of arable land were surveyed, the system of protective forest stands consists of 67 forest strips, with a total area of 175.2 hectares. 33 % of arable lands lose about 80 % of the fertile layer. At the landfill, the share of heavily degraded forest strips was 75 % of all forest strips, while 30 forest strips completely fell out. The effectiveness of the protective action of forest stands is low, which requires the implementation of measures for their reconstruction to ensure the integrity and productivity of the entire agricultural landscape. The total potential washout at the maximum values of the slope of the studied area is 73216.7 t. The intensity of the calculated amount of soil flushing across the fields varies from 9.8 to 29.1 t/ha. The total potential flushing at the average values of the slope of the studied area is 34248.2 t, and the intensity of the calculated amount of soil flushing is from 2.5 to 13.2 t/ha, respectively.","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":"69900316","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":"Development of navigation and map search system for the Ecological atlas of Russia online version","authors":"M. Gribok","doi":"10.35595/2414-9179-2022-1-28-230-239","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-1-28-230-239","url":null,"abstract":"An online version of the Ecological Atlas of Russia, published in 2017, is currently being developed. The article sets the task of cataloging atlas maps satellite images, which is necessary to provide user navigation, search and compilation of thematic collections. The article analyzes a number of Russian and foreign online atlases and their navigation systems, on the basis of which a system of cataloging and classification of maps for the electronic version of the Ecological Atlas of Russia has been developed. The cataloging of maps satellite images is based on a system of parameters that are assigned to each map. These include the identification number of the image, page numbers in the paper version of the atlas, the name of the section, territorial coverage, scale, text of the legend and some other parameters. Special attention during cataloging is paid to assigning keywords and phrases to all maps and satellite images. Keyword search will give the user the opportunity to compile collections of thematically similar images, even if they are located in different sections of the atlas. A prototype of an interface designed to search for maps has also been developed. The search can be carried out by several parameters at the discretion of the user. The search result will be a list of images with previews, titles and links. When opening the map, for the convenience of the user, links will also be provided to the text description of the section to which this map belongs, to thematically close maps, as well as to previously viewed maps. The principles of cataloging and searching maps proposed in this study can be used in the development of online versions of other complex thematic atlases.","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":"69898059","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}