scholarly journals Information and computational technologies for research of natural recovery of vegetation cover

2021 ◽  
Vol 895 (1) ◽  
pp. 012035
Author(s):  
Y A Ozaryan ◽  
T V Kozhevnikova ◽  
I S Manzhula
Keyword(s):  
Cluster Analysis ◽  
Vegetation Cover ◽  
The State ◽  
Natural Recovery ◽  
Analysis Methods

Abstract The processes of natural recovery of biota in the area disturbed by mining enterprises of the Khabarovsk region have been investigated. The specifics of the formation of secondary phytocenoses on man-made tumors have been revealed. Cluster analysis methods are used as an instrument to identify the key parameters that affect the state of vegetation during natural recovery.

scholarly journals Using cluster analysis methods to forecast the investment development of agricultural sector enterprises

2020 ◽  
pp. 88-99
Author(s):  
Petro Putsenteilo ◽  
Yaroslav Kostetskyi
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
Methodological Approach ◽  
Labour Productivity ◽  
The State ◽  
Econometric Modelling ◽  
Analysis Methods ◽  
The Future

Purpose. The aim of the article is substantiation and use of cluster analysis methods for forecasting investment development of agricultural sector enterprises. Methodology of research. The theoretical and methodological basis of the article is the fundamental provisions of modern economics. The following methods are used in the process of research: analysis and synthesis – to study the object and subject of research; grouping, abstract and logical – for theoretical generalizations of research results and formulation of conclusions; tools of econometric modelling: method of cluster analysis, constructive and strategic forecasting – in the study of the state of the agricultural sector, substantiation of the directions of cluster formation, forecasting trends in the agricultural sector for the future; statistical analysis and generalization – to process an array of statistical and empirical data and formulate the relevant conclusions of the conducted study. Findings. The need to model the conditions associated with investment in an unstable external environment of the agricultural sector. The application of cluster analysis to study the state of the agricultural sector is proposed. The use of econometric modelling tools – methods of statistical analysis for forecasting the development of agricultural enterprises is substantiated. The cost of investments in agriculture of Ukraine is analysed. Originality. Recommendations for wider use of econometric modelling tools to ensure the process of planning and forecasting the development of the agricultural sector of the economy have been deepened. The scientific and methodological approach to forecasting the development of the agricultural sector for the future has been improved with the help of cluster analysis tools, which confirmed the rational use of territorial distribution by regions and growth of investment capacity of agricultural production and average labour productivity. Practical value. The obtained results of the study allowed to systematize the factors that most affect the results of financial and economic activities, and to identify three scenarios of agricultural production in clusters (in homogeneous groups of regions): realistic, optimistic and pessimistic forecasts, identify alternative trajectories of agricultural sector, compare forecasting volumes of agricultural production with domestic needs and estimate export growth. Key words: agricultural sector, investment support, methods of cluster analysis, investment development forecasting, cluster, scenarios of agricultural production development.

STUDYING OF TERSKO-SULAKSKAYA LOWLAND VEGETATION UNDER THE RESULTS OF GROUND-BASED RESEARCH AND AUTOMATED INTERPRETATION

1970 ◽  
pp. 29-32
Author(s):  
M. I. Dzhalalova ◽  
A. B. Biarslanov ◽  
D. B. Asgerova
Keyword(s):  
Plant Communities ◽  
Satellite Imagery ◽  
Vegetation Cover ◽  
Anthropogenic Impacts ◽  
Species Abundance ◽  
Remote Sensing Data ◽  
Indigenous Communities ◽  
The State ◽  
Anthropogenic Factors ◽  
Internet Resource

The state of plant communities in areas located in the Tersko-Sulak lowland was studied by assessing phytocenotic indicators: the structure of vegetation cover, projective cover, species diversity, species abundance and elevated production, as well as automated decoding methods. There are almost no virgin soils and natural phytocenoses here; all of them have been transformed into agrocenoses (irrigated arable lands and hayfields, rice-trees and pastures). The long-term impact on pasture ecosystems of natural and anthropogenic factors leads to significant changes in the indigenous communities of this region. Phytocenoses are formed mainly by dry-steppe types of cereals with the participation of feather grass, forbs and ephemera, a semi-desert haloxerophytic shrub - Taurida wormwood. At the base of the grass stand is common coastal wormwood and Taurida wormwood - species resistant to anthropogenic influences. Anthropogenic impacts have led to a decrease in the number of species of feed-rich grain crops and a decrease in the overall productivity of pastures. Plant communities in all areas are littered with ruderal species. The seasonal dynamics of the land cover of the sites was estimated by the methods of automatic decoding of satellite images of the Landsat8 OLI series satellite for 2015, dated by the periods: spring - May 20, summer - July 23, autumn - October 20. Satellite imagery data obtained by Landsat satellite with a resolution in the multispectral image of 30 m per pixel, and in the panchromatic image - 10 m per pixel, which correspond to the requirements for satellite imagery to assess the dynamics of soil and vegetation cover. Lower resolution data, for example, NDVI MODIS, does not provide a reliable reflection of the state of soil and vegetation cover under arid conditions. In this regard, remote sensing data obtained from the Internet resource https://earthexplorer.usgs.gov/ was used.

scholarly journals 33 Aplicação da análise exploratória de dados na discriminação geográfica do quiabo do Rio Grande do Norte e Pernambuco

2018 ◽  
Vol 34 (3) ◽  
pp. 33
Author(s):  
Francisco Dos Santos Panero ◽  
Maria de Fátima Pereira Vieira ◽  
Ângela Maria Paiva Cruz ◽  
Maria de Fátima Vitória De Moura ◽  
Henrique Eduardo Bezerra Da Silva
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Component ◽  
Rio Grande ◽  
Component Analysis ◽  
The State ◽  
Data Treatment ◽  
Different Origins

Samples of okra from Caruaru and Vitória of Santo Antão, in the State of Pernambuco, and Ceará-Mirim, Macaíba and Extremoz in the State of Rio Grande do Norte have been analysed. Two different methods were applied in the data treatment allowing to geographically discriminate samples from different origins: Principal Component Analysis - PCA and Hierarquical Cluster Analysis - HCA.

scholarly journals Interpretaciones sobre la lluvia de polen en la región de San Luis Potosí, México

2017 ◽  
pp. 53 ◽  
Author(s):  
Socorro Lozano-García
Keyword(s):  
Cluster Analysis ◽  
Soil Samples ◽  
The State ◽  
Oak Forest ◽  
Vegetation Types ◽  
High Pollen ◽  
Clear Separation ◽  
San Luis ◽  
San Luis Potosi ◽  
San Luis Potosí

In a region located mainly in the State of San Luis Potosí, México, floristic and soil samples were taken, in order to obtain palynological spectra. The comparison between the floristic results and the palynological spectra corresponding to eight types of vegetation, shows that there are taxa such as Pinus and Quercus with a high pollen representation (RP) in most of the spectra. There were some, such as the grasses that exhibited a normal RP. Also, low values of RP were detected in some taxa typical of sucrubland. A cluster analysis was applied to forty-seven soil samples and yielded a clear separation between a) oak forest and chaparral, and b) other vegetation types.

Assessment of the State of the Territories of Closed Waste Disposal Facilities by Vegetation Indices

2021 ◽  
Vol 25 (9) ◽  
pp. 30-37
Author(s):  
N.N. Sliusar ◽  
A.P. Belousova ◽  
G.M. Batrakova ◽  
R.D. Garifzyanov ◽  
M. Huber-Humer ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Waste Disposal ◽  
Vegetation Cover ◽  
Vegetation Index ◽  
Vegetation Indices ◽  
Cost Effective ◽  
Google Earth ◽  
The State ◽  
Landsat 8 ◽  
The Earth

The possibilities of using remote sensing of the Earth data to assess the formation of phytocenoses at reclaimed dumps and landfills are presented. The objects of study are landfills and dumps in the Perm Territory, which differed from each other in the types and timing of reclamation work. The state of the vegetation cover on the reclaimed and self-overgrowing objects was compared with the reference plots with naturally formed herbage of zonal meadow vegetation. The process of reclamation of the territory of closed landfills was assessed by the presence and homogeneity of the vegetation layer and by the values of the vegetation index NDVI. To identify the dynamics of changes in the vegetation cover, we used multi-temporal satellite images from the open resources of Google Earth and images in the visible and infrared ranges of the Landsat-5/TM and Landsat-8/OLI satellites. It is shown that the data of remote sensing of the Earth, in particular the analysis of vegetation indices, can be used to assess the dynamics of overgrowing of territories of reclaimed waste disposal facilities, as well as an additional and cost-effective method for monitoring the restoration of previously disturbed territories.

Embracing the Digital Humanities

2019 ◽  
pp. 143-216
Author(s):  
Edward Slingerland
Keyword(s):  
Cluster Analysis ◽  
Qualitative Analysis ◽  
Hierarchical Cluster Analysis ◽  
Topic Modeling ◽  
Digital Humanities ◽  
Textual Analysis ◽  
Hierarchical Cluster ◽  
Analysis Methods ◽  
Online Databases

This chapter argues that, now that we have the texts of our traditions in fully searchable, digitized form, we can begin to read them in new ways. Basic quantitative textual analysis methods are introduced, as well as more sophisticated methods such as word collocation, hierarchical cluster analysis, and topic modeling. The use of online databases to share scholarly knowledge is also explored. Although digital humanities techniques have thus far been of only marginal use, their potential is huge, and they can provide entirely new and important perspectives on our corpora. Quantitative textual analysis of the early Chinese corpus confirms and deepens the conclusion from qualitative analysis that the early Chinese were mind-body dualists.

scholarly journals Associations between fish assemblage and riparian vegetation in the Corumbataí River Basin (SP)

2007 ◽  
Vol 67 (2) ◽  
pp. 191-195 ◽  
Author(s):  
M. Cetra ◽  
M. Petrere JR.
Keyword(s):  
Species Richness ◽  
River Basin ◽  
Fish Species ◽  
Sugar Cane ◽  
Fish Assemblage ◽  
Vegetation Cover ◽  
Riparian Vegetation ◽  
Riparian Forest ◽  
The State ◽  
Multivariate Techniques

This work intends to examine if there are associations between fish species and the state of conservation of the riparian forest in the Corumbataí River Basin. Four main rivers were chosen for this study with three sites on each. Collections were carried out from March to June and from September to December 2001. Multivariate techniques were applied to determine the correlation between species richness and the order of the rivers, preservation level of the riparian forest, shade level, presence or absence of Eucalyptus, sugar cane and pastures, and surrounding declivity stability of the sites. Species richness was highest at locations with greater vegetation cover and preserved riparian forest.

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