Procedure of Landscape Anthropization Extent Modeling: Implementation for Ukrainian Physic-Geographic Taxons

Самойленко, В. М.; Dibrova, I.; Osadchyi, Volodymyr; Vishnikina, L.

doi:10.5755/j01.erem.74.2.20646

Cited by 6 publications

(8 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the third task of this paper, the developed operating scale of a geosituation was implemented for the selected megaregion. Such an implementation megaregion is the same as we used in our previous publication (Samoilenko et al, 2018b). It consists of Ukrainian physical-geographic zones of mixed (coniferous / broad-leaved) and broad-leaved forests and forest-steppe and their physical-geographic taxons of lower level (Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Under the principles developed in this paper, the suitable operating scale of the anthropisation extent for the modelling of a geosituation in selected physical-geographic taxons was also used. This operating scale was constructed in a study of Samoilenko et al (2018b). Here it is used in the modified form in Table 3.…”

Section: Resultsmentioning

confidence: 99%

“…They include international resumptive developments of Paracchini and Environmental Research, Engineering and Management 2019/75/2 Capitani (Paracchini & Capitani, 2011), implemented in Eurostat Statistics for all EU countries (Eurostat Statistics, 2012), research of Frank (Frank, 2014), investigation of Walz and Stein (Walz & Stein, 2014), realised in web-service IOER Monitor of Leibniz Institute of Ecological Urban and Regional Development (IOER Monitor, 2015) as well as our own developments (Samoilenko et al, 2017(Samoilenko et al, , 2018a. In particular, the procedure of anthropisation extent modelling for landscapes and/or taxons of physical-geographic zoning was developed with its implementation (Samoilenko et al, 2018b). The procedure generalises all the above-mentioned existing approaches and uses primary the classified scheme presented in Table 1.…”

Section: Introductionmentioning

confidence: 99%

“…1) According to Samoilenko et al, (2018b). Abbreviation: L/c -low-categorical, H/c -high-categorical.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Geoecological Situation in Land Use

Самойленко

Dibrova

2019

EREM

Self Cite

View full text Add to dashboard Cite

The principles for the construction of the scale of geoecological situation in land use were substantiated. This situation is based on the parameter of landscape anthropization extent. The parameter was called a geosituation index. Such index is the area proportion for geoecological positive (or geo-positive) and geoecological negative (or geo-negative) land use and/or land cover (LULC) systems. The first systems are still called in essence nature-accentuated, near-to-nature or simply natural systems. Percents of geo-positive LULC systems' area are also used as a separate parameter additional to the geosituation index. The scale of geosituation concerning land use in model landscapes or other territorial units was developed. Such scale for the first time has the logic-parametric consistency with previously developed scheme of the landscape anthropization extent. The geosituation is classified in the scale by categories. They vary from excessively favorable to catastrophic category. The developed geosituation scale was implemented for the selected megaregion. It includes Ukrainian physic-geographic zones of mixed and broad-leaved forests and forest-steppe and their regions, areas and districts. The digital choropleths were modeled for the geosituation in land use in the areas and districts. The all obtained results indicated the validity and further implementation suitability of proposed geosituation indexes and their scale. The developed approaches can be applied in the territorial schemes and projects of modern environmental management. Keywords: land use, anthropization, landscape, geoecological situation, near-to-nature systems

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…1) According to Samoilenko et al, (2018b). Abbreviation: L/c -low-categorical, H/c -high-categorical.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Geoecological Situation in Land Use

Самойленко

Dibrova

2019

EREM

Self Cite

View full text Add to dashboard Cite

show abstract

“…The experience of using geoinformation training models suggests that it is not enough to consider them only as a tool of visualization of training information for its acquisition [22], since these models also serve as a tool of organizing students' independent cognitive activities. This combination reflects the so-called law of consciousness, according to which, students realize only the content of that perceived information which appears to them as an object they act on and which is the purpose of their activity.…”

Section: Geoinformation Training Modelsmentioning

confidence: 99%

Modernization of Geographic Education at High School: Geoinformation Training Models

Topuzov

Vishnikina

Самойленко

et al. 2019

ITLT

View full text Add to dashboard Cite

The paper deals with contemporary trends of modernization of higher education in the countries of Europe, emphasizes relation between the quality of education and the level of development of the countries' economy, confirms the importance of digital education and provision of new forms of educational services. The problem of mastering new technologies using geoinformation systems and technologies in the process of training future specialists-geographers and geography teachers is analyzed. It is proved that one of the ways of addressing the outlined problem is the implementation of geoinformation training models, and the place of such models among other types of geography training tools is determined. The paper explains the concepts "training model", "geoinformation training model" and outlines their didactic peculiarities. The system of graphic-sign geographic training models is presented, with geoinformation training models being their subtype. The trends of applying geoinformation systems and technologies in the process of teaching geographic disciplines at higher education institutions are characterized. Based on the experience of application of geoinformation training models, the paper emphasizes that they are tools of students' independent cognitive activities. The paper distinguishes three groups of these models (general, special, combined) and characterizes their varieties. Considerable attention is paid to characterizing special geoinformation models, viz. rendering models, first of all digital elevation models, "draping" models, as well as models of kinematic animation or dynamic interactive visualization of 3D images, routing optimization and self-training models. A considerable didactic potential of electronic maps and atlases is emphasized, which make it possible to study geographic objects, processes and phenomena in the spatial aspect. The conclusion is made that the application of geoinformation training models, on the one hand, allows students to explore independently certain natural or socioeconomic objects of the environment. On the other hand, tutors can plan students' efficient training activities at a high level of complexity and in accordance with their interests.

show abstract