Basin and eco-regional approach to optimize the use of water and land resources

The paper presents the principles of justification of the boundaries and composition of ecoregions as hydrologically separate, integral natural and economic structures, within which a quantitative and qualitative assessment of the results of the geoplanning of integrated components of the territories of nature, population and economy on the basin principle can be most effectively carried outyesБелгородский государственный университе

Geoinformation mapping of modern gully erosion in the steppe region of the Russian Plain

Considering the linear erosion processes in the river basins slopes it can be noticed that the gully erosion is most intensively changing the relief, leading to the complete soil cover destruction, and is making the land not suitable for agricultural use. Due to the gullies' network shape and their large size, the satellite images allow noticing their representation. The study of the modern gully network was carried out in the steppe east of the Russian Plain on an area of more than 38000 km

Evaluation of siltation of rivers with intensive economic development of watersheds

In regions with a high degree of agricultural development with an active development of erosion processes and the critical level of degradation of the river network to which the Middle-Russian Upland belongs, the evaluation of sedimentation for various combinations of natural and economic conditions becomes an immediate proble

Current perspectives on social mapping of urban territories

© 2015 Canadian Center of Science and Education. All rights reserved. The article provides insights on the conceptualization of social mapping and its three main types: statistical, anthropological and network-oriented. Each perspective is described in detail and illustrated by examples. Artificial Neuron Networks with a particular interest to self-organizing maps are embedded in the analysis as a cutting-edge technique of social mapping now actively used by interdisciplinary researchers. The authors argue that despite the variety of social mapping techniques, they all have common features such as ordering and grouping of objects based on particular framework and empirical data, flexibility, visibility, citizens’ engagement on developing maps. Along with advantages, authors acknowledge such limitations of social mapping as data exclusion, data scale incompatibility and complexity of datasets that are beyond the cognitive abilities of the analyst

Geographic Information System and Geoportal "River basins of the European Russia"

The geoinformation system (GIS) and Geoportal with open access "River basins of the European part of Russia" were introduced. The GIS includes the results of spatial analysis and modeling, in particular, the assessment of anthropogenic impact on river basins; estimates of water flow and precipitation; climatic, geomorphological and landscape zoning of the European part of Russi

Geographic Information System and Geoportal River basins of the European Russia

© Published under licence by IOP Publishing Ltd. Geographic Information System (GIS) and Geoportal with open access River basins of the European Russia were implemented. GIS and Geoportal are based on the map of basins of small rivers of the European Russia with information about natural and anthropogenic characteristics, namely geomorphometry of basins relief; climatic parameters, representing averages, variation, seasonal variation, extreme values of temperature and precipitation; land cover types; soil characteristics; type and subtype of landscape; population density. The GIS includes results of spatial analysis and modelling, in particular, assessment of anthropogenic impact on river basins; evaluation of water runoff and sediment runoff; climatic, geomorphological and landscape zoning for the European part of Russia

Current perspectives on social mapping of urban territories

© 2015 Canadian Center of Science and Education. All rights reserved. The article provides insights on the conceptualization of social mapping and its three main types: statistical, anthropological and network-oriented. Each perspective is described in detail and illustrated by examples. Artificial Neuron Networks with a particular interest to self-organizing maps are embedded in the analysis as a cutting-edge technique of social mapping now actively used by interdisciplinary researchers. The authors argue that despite the variety of social mapping techniques, they all have common features such as ordering and grouping of objects based on particular framework and empirical data, flexibility, visibility, citizens’ engagement on developing maps. Along with advantages, authors acknowledge such limitations of social mapping as data exclusion, data scale incompatibility and complexity of datasets that are beyond the cognitive abilities of the analyst

Current perspectives on social mapping of urban territories

© 2015 Canadian Center of Science and Education. All rights reserved. The article provides insights on the conceptualization of social mapping and its three main types: statistical, anthropological and network-oriented. Each perspective is described in detail and illustrated by examples. Artificial Neuron Networks with a particular interest to self-organizing maps are embedded in the analysis as a cutting-edge technique of social mapping now actively used by interdisciplinary researchers. The authors argue that despite the variety of social mapping techniques, they all have common features such as ordering and grouping of objects based on particular framework and empirical data, flexibility, visibility, citizens’ engagement on developing maps. Along with advantages, authors acknowledge such limitations of social mapping as data exclusion, data scale incompatibility and complexity of datasets that are beyond the cognitive abilities of the analyst

Current perspectives on social mapping of urban territories

© 2015 Canadian Center of Science and Education. All rights reserved. The article provides insights on the conceptualization of social mapping and its three main types: statistical, anthropological and network-oriented. Each perspective is described in detail and illustrated by examples. Artificial Neuron Networks with a particular interest to self-organizing maps are embedded in the analysis as a cutting-edge technique of social mapping now actively used by interdisciplinary researchers. The authors argue that despite the variety of social mapping techniques, they all have common features such as ordering and grouping of objects based on particular framework and empirical data, flexibility, visibility, citizens’ engagement on developing maps. Along with advantages, authors acknowledge such limitations of social mapping as data exclusion, data scale incompatibility and complexity of datasets that are beyond the cognitive abilities of the analyst