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American Journal Of Agriculture And Horticulture Innovations  
(ISSN – 2771-2559) 
VOLUME 03 ISSUE 07    Pages: 19-31 

SJIF IMPACT FACTOR (2021: 5. 705) (2022: 5. 705) (2023: 7. 471)  
OCLC – 1290679216   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
Publisher: Oscar Publishing Services 

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ABSTRACT 

This article analyzes the cartographic methodology of using alternative energy resources, the technology of 

developing maps of alternative energy resources based on the geoinformation system, the issues of developing a 

visualization system of the location of alternative energy objects based on the geodatabase. 

KEYWORDS 

Alternative energy, general geographic, natural and ecological, strategic planning, ArcGIS, WinGIS, Pakhtachi, Narpay, 

Nurabad, Kattakurgan, Ishtikhon, Koshrabad, Akhdaryo, Payariq, Bekobod, Boka, Akhkurgan, Piskent, Kuyichirchik, 

Ortachirchik, Chinaz, Yangiyol, Zangiota, metrological station. 

INTRODUCTION

Methodological and theoretical bases of the research 

are the principle of systematic approach, 

methodological developments of local and foreign 

authors and published information on the studied 

problem. Cartographic, geo-informational, 

mathematical-cartographic modeling to achieve the 

goal; as general scientific methods: logical, statistical, 

comparative analysis; qualitative and quantitative 

analysis, graphic interpolation methods were used in 

the processing of the obtained data.  

The use of cards in strategic planning (cartographic 

planning method) requires special attention. This is 

one of the strategic methods, a method of analysis and 

visual representation of the strategic development 

plans of the region. Regional strategies usually involve 

  Research Article 

 

MODERN TOPOGRAPHY OF THE USE OF ALTERNATIVE ENERGY 

RESOURCES IN UZBEKISTAN 
 

Submission Date: July 14, 2023, Accepted Date:  July 19, 2023,  

Published Date: July 24, 2023  

Crossref doi: https://doi.org/10.37547/ajahi/Volume03Issue07-05 

 

 

O.A. Ibragimov 
Doctor Of Philosophy In Geography (Phd) Director Of The State Scientific Production Enterprise 

“Kartography”, Uzbekistan 

 

Jasur Z. Usmanov 
Doctor Of Philosophy In Agricultural Sciences. (Phd) Head Of The Kashkadarya Region Department Of The 

Cadastre Agency, Uzbekistan 

Journal Website: 

https://theusajournals.

com/index.php/ajahi 

Copyright: Original 

content from this work 

may be used under the 

terms of the creative 

commons attributes 

4.0 licence. 

 

https://theusajournals.com
https://doi.org/10.37547/ajahi/Volume03Issue07-05


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American Journal Of Agriculture And Horticulture Innovations  
(ISSN – 2771-2559) 
VOLUME 03 ISSUE 07    Pages: 19-31 

SJIF IMPACT FACTOR (2021: 5. 705) (2022: 5. 705) (2023: 7. 471)  
OCLC – 1290679216   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
Publisher: Oscar Publishing Services 

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different groups of cards. The following group of cards 

is proposed for the purpose of planning MERs in 

dissertation research and further development of 

regions based on them:  

1. General geographic maps and aerospace 

orthophotos – they give general spatial ideas 

about the region (or region). These maps are the 

basic geographical information of GAT 

technologies.  

2. Thematic cards of natural and ecological, 

population and economy, general economic 

zoning. These are “foundation cards” of strategic 

plans or cards of objective scientific knowledge of 

the region - diagnosis of problems, assessment of 

the main internal and external factors, 

identification and assessment of the development 

potential of economic sectors, human and social 

potential, as well as competition assessment 

cards. 

3. Strategic planning special cards industry sectors, 

describes regional plans for economic 

development in general, forecasts and plans 

(clusters, zones and regions) for spatial population 

distribution models. Regional strategies project 

block recommendation cards - show schemes 

(planned activities, projects) of major investment 

projects.  

Theme cards and special planning cards often have the 

same theme and can be industry-specific or general, 

but the main characteristic of planning cards is that the 

card provides “forward-looking” information for a 

certain period (for example, up to 2030). Cards can be 

divided into two functional groups according to the 

stages of development: strategic analysis and planning 

cards. In addition, in the process of creating a map, it is 

necessary to consider the creation of maps for 

monitoring and making changes to regional strategies.  

Cartographic support of regional strategic planning 

includes the development of a system of 

interconnected maps that sequentially provide 

individual stages of regional strategy development. 

The strategy includes assessment and 

recommendation cards developed through various 

sources, applying the cartographic method (creation 

and analysis of maps) to the practice of socio-economic 

strategic development of the state regions and 

cartographic provision of strategic plans - this is the 

development of the cartographic method of strategic 

planning and perspective special mapping that is 

relevant.  

Studies. Alternative energy is characterized by its 

versatility, its characteristic criteria and components. 

When designing and building MERs, it is important to 

assess their potential and their effective use.  

Therefore, first of all, it is necessary to take into 

account the characteristics of the region's natural 

resources, regional infrastructure, energy balance, 

existing industrial and agricultural enterprises. 

Secondly, it is required to collect a lot of information 

and enter it into the database, analyze and evaluate it. 

In addition, it is necessary to study the data of 

renewable (solar, wind and biogas, inland waters-

hydro) sources of energy. In the regions of the 

Republic of Uzbekistan, the application of MERs may 

not always be effective, for example, in regions with 

hydroelectric power plants and thermal power plants.  

The use of GAT technologies in the implementation of 

these works has been considered abroad, for example 

in the Netherlands. It is possible to cite a number of 

indicators included in the GAT for the construction of 

MERs and the assessment of the state of operation:  

1. MER resource assessment data (meteorological, 

hydrogeological, geodetic, etc.).  



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(ISSN – 2771-2559) 
VOLUME 03 ISSUE 07    Pages: 19-31 

SJIF IMPACT FACTOR (2021: 5. 705) (2022: 5. 705) (2023: 7. 471)  
OCLC – 1290679216   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
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2. Technical characteristics of MERs.  

3. Energy indicators (cost of electricity from 

conventional and non-conventional sources, 

energy resources of the area, accounts, wages of 

workers, etc.). 

4. Social indicators (employment of the population, 

creation of new jobs, negative effects on the 

health of the population, etc.) 

5. Nature conservation activities, etc. 

The above information was entered into the GAT 

technologies and the “Alternative Energy” database 

was created, which allowed to determine the 

technological process of creating the database cards. 

In the dissertation work, the integration of information 

of various characteristics was carried out, and as a 

result, a technological scheme for creating serial cards 

according to MER was developed.  

MER card acquisition was carried out in 4 stages:  

1) data acquisition, systematization (description of 

geographical features of MERs);  

2) data processing (field geodetic survey work, 

decoding of aerospace materials);  

3) preparation of cartographic products, collection and 

analysis of statistical materials of MERs, selection of 

GAT programs, creation of MB;  

4) geoinformation modeling and MER mapping. 

Geographical, fieldwork and statistical materials serve 

as the source of information for dissertation research. 

In addition, aerospace materials are involved in the 

work, they are used to coordinate the geographic basis 

of the maps being produced, to obtain information on 

modern changes in the area, etc.  

As part of the study, thematic cards were also involved 

in the work:  

1) duration of sunlight during the year,  

2) index cards for days with wind speed greater than 15 

m/c per year, etc.  

Datum - Pulkovo, ellipsoid - Krassovsky, 1942 

coordinate system was used in the processing of 

cartographic projections of remote sensing materials.  

As a result of carrying out topographic survey works in 

the field, digital information about the spatial data of 

the area was obtained, measurements were carried 

out based on the GPS device, electronic tachyometers, 

and as a result, a geodetic database was created. Based 

on vector models of the area, various digital models are 

created and used, including the results of spatial 

analysis or spatial solutions, in most cases they are 

given in the form of vector models. 

Evaluation and modeling of alternative energy 

resources based on GAT technologies were carried out 

in the dissertation research. Currently, there are 

various methods of modeling, semantic, heuristic, 

informational, etc. Conventional formats as modeling 

software (ArcGIS, WinGIS, etc.); projection 

transformations - transition from one cartographic 

projection to another or from a spatial system to a 

cartographic projection; geometric analysis 

(determining the lengths of lines, operations for 

finding intersection points, etc.); such as overlay and 

functional modeling operations (buffer zones, 

network analysis, numerical modeling) are 

distinguished.  

Conversion, overlay and functional modeling were 

carried out in the dissertation research. Below we 

present information on modeling work.  



Volume 03 Issue 07-2023 22 

                 

 
 

   
  
 

American Journal Of Agriculture And Horticulture Innovations  
(ISSN – 2771-2559) 
VOLUME 03 ISSUE 07    Pages: 19-31 

SJIF IMPACT FACTOR (2021: 5. 705) (2022: 5. 705) (2023: 7. 471)  
OCLC – 1290679216   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
Publisher: Oscar Publishing Services 

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Based on the results of researches on the mapping of 

objects based on the software belonging to the family 

of the geoinformation system, and according to 

foreign and national experiences, the republic made it 

possible to synthesize the collected data and make 

management decisions by developing innovative 

technologies in the use of MER.=.  

RESULTS 

Data such as surface temperature, temperature at 2 

meters above the surface, wind direction, wind speed 

at 10 meters above the surface, and wind speed at 50 

meters above the surface were entered into attributive 

tables of hydrometrological stations created in ArcGIS 

software and geovisualized (Figure 1). 

 

Picture 1. Actual location of existing weather stations in the Republic of Uzbekistan 

Based on the data obtained as a result of the field work, by interpolating the information using the ArcGIS program, 

the weights of the temperature indicators related to the surface of the earth were analyzed using the reverse distance 

method (IVR-inversely weighted distances), and the temperature indicator maps of Samarkand and Tashkent regions 

were geovisualized (Figure 2). 

 



Volume 03 Issue 07-2023 23 

                 

 
 

   
  
 

American Journal Of Agriculture And Horticulture Innovations  
(ISSN – 2771-2559) 
VOLUME 03 ISSUE 07    Pages: 19-31 

SJIF IMPACT FACTOR (2021: 5. 705) (2022: 5. 705) (2023: 7. 471)  
OCLC – 1290679216   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
Publisher: Oscar Publishing Services 

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Picture 2. Temperature indicator card of the surface of the earth in Samarkand region 

The analyzes during the research were also analyzed according to the temperature indicators at a height of 2 meters 

above the ground (Appendix 5), by creating an electronic digital map of the regions of Samarkand and Tashkent 

regions according to air temperature, a cartographic basis was created for determining the areas where solar panels 

can be installed. 

In the final research, it was recommended to install solar panels in the districts of Samarkand region from the west 

to the east (Pakhtachi, Narpay, Nurabad, Kattakurgan, Ishtikhon, Koshrabad, Aqdarya and Payariq districts) due to 

the fact that the annual average temperature is higher than 13 degrees Celsius.  

As for the districts in the southwestern part of the Tashkent region (Bekabad, Boka, Aqqorgan, Piskent, Kuyichirchik, 

Ortachirchik, Chinoz, Yangiyol and Zangiota districts), the annual average air temperature is higher than 12 So, it was 

recommended to install solar panels in these districts (pictures 3).. 

 



Volume 03 Issue 07-2023 24 

                 

 
 

   
  
 

American Journal Of Agriculture And Horticulture Innovations  
(ISSN – 2771-2559) 
VOLUME 03 ISSUE 07    Pages: 19-31 

SJIF IMPACT FACTOR (2021: 5. 705) (2022: 5. 705) (2023: 7. 471)  
OCLC – 1290679216   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
Publisher: Oscar Publishing Services 

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Figure 3. Temperature index card of the surface of the earth in Tashkent region 

Using the results of the research, it was possible to determine the zones that are acceptable (convenient) for installing 

solar panels in any region of our republic through an automated geo-information system and to increase work 

efficiency. At the same time, the volume of field research work was reduced by 50%. 

In order to improve the system of determining areas suitable for installing wind generators using ArcGIS software, 

OVR (OVR-obratno vzveshennyx rasstoyaniy) analysis was conducted based on the data on wind directions obtained 

from independently monitored regional metrological stations, and the wind directions were mapped in the section of 

Samarkand and Tashkent regions by the method of linear symbols in motion (Fig. 4).

 
 

Picture 4. A map showing the direction of the wind in the Samarkand region using moving linear symbols 

According to the analysis, it is recommended to install wind generators in Payariq, Bulung’ur, Jomboy, Toyloq and 

Urgut districts of Samarkand region.  

It is recommended to install wind generators in the districts of Bostonliq, Ohangaron, Piskent, Bekobad, Boka, 

Ortachirchik, Koyichirchik, Chinoz and Yangiyol in the districts of Tashkent region, taking into account that the wind 

directions come from the south-east to the north-west and form a wind path (Fig. 5). 

 



Volume 03 Issue 07-2023 25 

                 

 
 

   
  
 

American Journal Of Agriculture And Horticulture Innovations  
(ISSN – 2771-2559) 
VOLUME 03 ISSUE 07    Pages: 19-31 

SJIF IMPACT FACTOR (2021: 5. 705) (2022: 5. 705) (2023: 7. 471)  
OCLC – 1290679216   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
Publisher: Oscar Publishing Services 

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Picture 5. A map showing the direction of the wind in the Tashkent region using moving linear symbols

Based on the data of metrological stations, the wind 

speed in Samarkand and Tashkent regions was studied 

in order to increase the quality and efficiency of the 

research conducted in the research work according to 

the wind directions. Statistical indicators of wind speed 

were geovisualized based on vector layers. 

The analyzes carried out for the Samarkand region 

show that the wind speed in the western part of the 

region is higher than 4 m/s per hour per year, so it was 

determined that it is appropriate to place and use wind 

generators in the western part of Pakhtachi, Narpay 

and Nurabad districts of the region (Figures 6). 

 
Picture 6. Geovisualization map of wind speed in Samarkand region (10 m) 

According to the analyzes carried out in the Tashkent region, it was determined that it is appropriate to place and 

use wind generators in the southern part of Bekobad, Boka, Piskent and Ohangaron districts of the region, since the 

average wind speed in the southern region is higher than 3 m/s per year (Figures 7). 



Volume 03 Issue 07-2023 26 

                 

 
 

   
  
 

American Journal Of Agriculture And Horticulture Innovations  
(ISSN – 2771-2559) 
VOLUME 03 ISSUE 07    Pages: 19-31 

SJIF IMPACT FACTOR (2021: 5. 705) (2022: 5. 705) (2023: 7. 471)  
OCLC – 1290679216   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
Publisher: Oscar Publishing Services 

Servi 

 

Picture 7. Geovisualization map of wind speed in Tashkent region (10 m) 

The research was conducted on the wind speed at a 

height of 10 meters above the ground. The wind speed 

at a height of 50 meters above the ground was also 

analyzed in the form of a vector layer in the 

geodatabase.  

In order to further increase the accuracy of the 

scientific research conducted for the use of alternative 

energy resources, it was analyzed by linking the 

research to the terrain. Taking into account the 

topography of the research area, the areas with higher 

absolute altitude compared to the Baltic Sea were 

selected and the areas with wind speed and high 

temperature (+So) were calculated using the ArcGIS 

program to determine (select, separate) the most 

optimal areas for installing wind generators and solar 

panels. 

Point view vector layers with elevation values were 

exported to the Shape format unit of ArcGIS. Exported 

layers were downloaded into ArcGIS software and 

points were generalized according to the working 

scale. Generalization of points is considered necessary 

for the creation of medium-scale maps. The working 

scale of the research work is to create electronic digital 

maps on a scale of 1:100,000 to 1:450,000.  

In the altitude attribute of the points, it was taken into 

account that the absolute height values of each point 

relative to the level of the Baltic Sea are automatically 

downloaded from the Global Mapper program. Based 

on these elevation points, the elevation levels of the 

land were geovisualized in the form of a field layer by 

interpolation using the OVR analysis command in the 

ArcGIS program. 

A total of 354 reference points were created for the 

Samarkand region, and it was observed that the 

ground level was located in relation to the Baltic Sea in 

the range of values from 250 meters to 2298 meters 

(Fig. 8).

 



Volume 03 Issue 07-2023 27 

                 

 
 

   
  
 

American Journal Of Agriculture And Horticulture Innovations  
(ISSN – 2771-2559) 
VOLUME 03 ISSUE 07    Pages: 19-31 

SJIF IMPACT FACTOR (2021: 5. 705) (2022: 5. 705) (2023: 7. 471)  
OCLC – 1290679216   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
Publisher: Oscar Publishing Services 

Servi 

 
 

Picture 8. Map of elevation values of land levels in Samarkand region 

A total of 335 reference points were created for the Tashkent region, and it was observed that the ground level was 

located in relation to the Baltic Sea in the range of values from 229 meters to 3797 meters (Fig. 9). 

 
Picture 9. Map of elevation values of land levels in Tashkent region 

The map data was categorized by height after being 

created in vector format. Classification works were 

included in the program based on the height value 

interval of the regions. 5 classes for Samarkand region, 

i.e. 250 m. from 2500 m. if intermediate values up to 

200 m are obtained, 5 classes for Tashkent region. from 

4000 m. values ranging from. 

Classification for Samarkand region was carried out in 

the following order: 

1st class = 250 -500 

2nd class = 500 -1000 

3rd class = 1000 -1500 

4th class = 1500 -2000 

5th class = 2000 -2500 

Classification for Tashkent region was carried out in the 

following order: 



Volume 03 Issue 07-2023 28 

                 

 
 

   
  
 

American Journal Of Agriculture And Horticulture Innovations  
(ISSN – 2771-2559) 
VOLUME 03 ISSUE 07    Pages: 19-31 

SJIF IMPACT FACTOR (2021: 5. 705) (2022: 5. 705) (2023: 7. 471)  
OCLC – 1290679216   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
Publisher: Oscar Publishing Services 

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1st class = 200 -500 

2nd class = 500 -1000 

3rd class = 1000 -2000 

4th class = 2000 -3000 

5th class= 3000-4000 

Based on the results of the classification, an algorithm 

was developed using ArcGIS software, and suggestions 

and recommendations were given for choosing or 

specifying the optimal location for solar panels and 

wind generators (Table 1)..

Table 1 

Algorithm for determining optimal location using ArcGIS software 

O/n Acceptance levels 

surface 

temperature, 
оС 

Wind 

speed, 

m/s 

The height of 

the ground 

level, m 

for Samarkand region 

1 Level 1 13< 4,0< 2500< 

2 Level 2 10-13 3,5-4,0 1500 -2500 

3 Level 3 6-10 2,5-3,5 250 -1500 

for Tashkent region 
 Level 1 10< 3,5< 3000< 

 Level 2 5-10 2,5<3,5 2000 -3000 

 Level 3 1-5 1,5<2,5 200 -2000 

 

Acceptance levels were divided into 4 types as shown 

in Table 1. According to it, areas with high acceptability 

level 1, areas with level 2 medium acceptability and 

areas with low acceptability level 3 were divided. Level 

4 areas include mountainous areas with steep slopes.  

ArcGis software belonging to the GAT family was used 

to solve the problems set before us in the research 

work. Above, in the second section of the first chapter 

of the research paper, in the creation of electronic 

digital cards, work was carried out to create cards 

describing alternative energy resources based on the 

systematic structure of GISAE. 

In particular, taking into account the levels of 

acceptability in the installation of alternative energy 

resources, the result of the above work was connected 

to the mathematical framework developed during the 

research, i.e. the resulting data of the research 

collected in the central database using the geolocation 

method. Then a map of the areas suitable for the 

installation of alternative energy resources was 

created using cartographic imaging methods (Figures 

10 and 11). 



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American Journal Of Agriculture And Horticulture Innovations  
(ISSN – 2771-2559) 
VOLUME 03 ISSUE 07    Pages: 19-31 

SJIF IMPACT FACTOR (2021: 5. 705) (2022: 5. 705) (2023: 7. 471)  
OCLC – 1290679216   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
Publisher: Oscar Publishing Services 

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Picture 10. Map of areas most suitable for installing solar panels in Samarkand and Tashkent regions 

  
Picture 11. Map of areas most suitable for installing wind generators in Samarkand and Tashkent regions 

Today, the existing versions of GAT technologies fully 

cover the previous ones and are certainly improved. 

Current software has made it possible to effectively 

use digital cards created in previous electronic 

versions. 

Creation of alternative energy maps of regions, 

creation of databases of different topics, including 

alternative energy in regions, and their visualization 

were all carried out using modern software tools. 

The creation of maps and plans, their processing, 

database formation, integration and visualization 

within the framework of the research topic were 

considered as one of the main objectives of the GAT 

technology. 



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American Journal Of Agriculture And Horticulture Innovations  
(ISSN – 2771-2559) 
VOLUME 03 ISSUE 07    Pages: 19-31 

SJIF IMPACT FACTOR (2021: 5. 705) (2022: 5. 705) (2023: 7. 471)  
OCLC – 1290679216   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
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Based on the command of ArcGIS program to perform 

analyzes based on algorithms, the most optimal 

regions were identified and introduced to production 

organizations by placing them on the elevation points 

of the land relief in relation to the wind and 

temperature indicators of Samarkand and Tashkent 

regions. 

CONCLUSION 

The most important factor in the development of 

alternative energy is the prospective deployment of 

MERs. GAT technologies were used to place MERs in a 

convenient and visual analysis. Based on the 

methodological and theoretical foundations of the 

research, a system of serial cards of alternative energy 

resources was developed using cartographic, geo-

informational, mathematical-cartographic modeling, 

logical, statistical, comparative analysis, qualitative and 

quantitative analysis, graphic interpolation methods in 

the processing of the received data. 

Geographical, fieldwork and statistical and aerospace 

data were used as a source of information. They were 

used to coordinate the geographic basis of the maps 

being produced, to obtain information on modern 

changes in the area, and so on. As a result of carrying 

out topographic survey work in the field, digital 

information about the spatial information of the area 

was obtained. Measurements were carried out on 

modern geodetic instruments, as a result of which a 

geodetic database was created. Based on the vector 

models of the area, various numerical models were 

created. As a result, evaluation and modeling of 

alternative energy resources was carried out based on 

GAT technologies.  

The resulting data of the research collected in the 

central database by the geolocation method were 

linked to the mathematical framework developed 

taking into account the levels of acceptability in the 

installation of alternative energy resources, and serial 

maps of the areas acceptable for the installation of 

alternative energy resources were created. 

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1. Ibragimov O.A, Nigmatov A.N. The subject of 

modern cartography and its scientific research 

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Economics, Commerce and Educational 

Management Journal DOI: 

10.36713/epra0414|ISI I.F Value: 0.815|SJIF 

Impact Factor (2020): 7.572. 

2. Ibragimov O.A. The mechanism of creation and 

use of the geographic information system 

database of alternative energy resources. 

“NEWSLETTER” #4 (265) of the Karakalpakstan 

branch of the Academy of Sciences of the 

Republic of Uzbekistan – “Science”– 2021. 

3. Ibragimov O.A., Abdurashidov Z.A. Future 

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purposes of public welfare. Proceedings of the 

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UzNU.-Т. 2018. P. 13-15. 

4. Ibragimov O.A., Safarov E.Yu. Improving the 

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for the placement of alternative energy 

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Saratov - 2022. (11.00.00; № 11). 

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maps of alternative energy resources based on 

geoinformation system. Information of the 

Geographical Society of Uzbekistan, volume 

60. - Tashkent,– 2022. P. 300-308. 



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(ISSN – 2771-2559) 
VOLUME 03 ISSUE 07    Pages: 19-31 

SJIF IMPACT FACTOR (2021: 5. 705) (2022: 5. 705) (2023: 7. 471)  
OCLC – 1290679216   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
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6. Ibragimov O.A., Khikmatov F.Kh., Magdeev 

K.N., Rakhmanov K.R., Khakimova Z.F., Ziyaev 

R.R., Erlapasov N.B. Contents of the “Surface 

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2020. P. 283-294. 

8. Ibragimov O.A., Safarov E.Yu. Developing wind 

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the Republic of Uzbekistan. International 

Conference. Europe, science and we, Praha, 

Czech Republic. 2022 p. 20-25. 

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