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DIGITAL MATHEMATICAL-CARTOGRAPHIC MODELING OF NATURAL CONDITIONS OF AZERBAIJAN ON THE PURPOSE OF INNOVATION DEVELOPMENT OF AGRICULTURE ECONOMY

DIGITAL MATHEMATICAL-CARTOGRAPHIC MODELING OF NATURAL CONDITIONS OF AZERBAIJAN ON THE PURPOSE OF INNOVATION DEVELOPMENT OF AGRICULTURE ECONOMY
Alpasha Nabiyev, докторант, ph.d., докторант

Suleymanzade Nurtac Elkhan kizi, студент

Ibadova Ayshen Zakulla kizi, студент

Abdullayeva Ayten Allahverdi kizi, студент

Бакинский государственный университет, Азербайджан

Участник конференции

Introducion:
Presently the following agricultural sectors are developing strongly in Azerbaijan:- gardening, horticulture and animal husbandry. Unfortunately, farmers not taking into consideration nature of the variability of natural conditions, take into account only the needs of the market economy while occupying in these sectors. Therefore, sometimes their production would not be cost effective and sometimes will be the victim of various kinds of disaster of natural environment. Since the farmers did not know cyclicity and the degree of variability of different indicators of the environment, such as the steppes of the complexity and variety of the structure of land cover, the complexity and variety of geomorphological and geological structure of territory, the dynamics of the topography, the nature of cycles and the length of the sequence repeatability of rainy and no rainy days, dry winds, and other characteristic of the environment in the long run{1}.

 Thus, innovative development of agriculture requires first, taking into account extreme characteristics of natural factors in space and time. Taking into account the development of innovative agricultural economy digital-mathematical cartographic models for the territory of Azerbaijan and geo-information models of administrative and economic regions of Azerbaijan are composed by us. In addition, we have made digital maps of correlation interrelationships between the characteristics of natural conditions and the performance of agriculture in Azerbaijan. Implemented work composes of theoretical and methodological parts and has the following form.

Keyword:  innovation, agriculture, digital mapping, mathematical modeling, correlation maps, landscape.

Theoretical basis of innovation development of the agricultural economy

Digital mathematic-cartographic modeling.

Digital mathematical and cartographic modeling is a method of composition of analytical maps on the computer. These maps can be composed in the field of geography, geology, geophysics, geochemistry, meteorology, etc. Digital mathematic-cartographic maps mainly reflect the spatial distribution of quantitative indicators of one or more components of nature (or artificial objects) in the form of contour lines on which through attaching a pointer to the buffer zone between the isolines, can be obtained digital value for each point of modeling of territory. For example, composition of digital maps of the spatial distribution of morphometric indicators of relief and digital maps of the spatial relationships quantitative indices of landscapes and its components (soil and vegetation, hydrography and relief structure, geomorphological and geological structure, etc.) are one of the complex and important problems of modern physical geography. On the first turn, it includes diversity and imbalance maps, maps of dissection and complicity, maps  of correlation coefficients (the relationship of two components) and the multiple correlation coefficient maps (interrelation of several components). In addition, you can make maps of the spatial distribution of the trend surfaces of quantitative values of two or more components, using polynomial regression equations(2).

Digital maps reflect the diversity of the natural state of organization of map, but the maps of imbalance reflect the degree of violation of natural structure of the spatial organization, condition of natural environment under the influence of natural and anthropogenic factors. These maps are used for agricultural and economic planning of territory etc.

Digital maps of the spatial relationship of quantitative indicators of landscape and for the first turn, components of nature show various ways of solving the economic and environmental problems on a larger area such as within the mountains, or plain territories. Valuable index of these maps based on fact that through this index we can specify the limits and forms of spatial distribution of relationships. Therefore we can determine the negative and positive components through these maps, which is strongly related to the balance condition of nature.

Unfortunately until now geographers constitute statutory guidance for land use map or maps of morphometric evaluation of natural ball evaluations for carrying out various economic activities without considering the nature and form of spatial relationships (direct or inverse) components of nature.

We know that the use of standard indicators during the economic activities, in case of inverse or direct relationship of space components of the structure of nature, must be different.

Methodology of digital map modeling

Methodology of mathematical-cartographical modeling for digital mapping interrelations between component of natue given  the next example :

Tale1.

Mathematical-cartographical parameters of Azerbaijan landscape and its  spatial ements.

x

y

s

Ld

Lex

Las

Lmin

Lmax

Lsum

Lnseg

Lcv

Sm

Sn

Sm/n

K1

22,5

62,5

40,7

25,3

-1,52

0,24

7,22

80,4

854,6

21

0,62

3

5

0,60

K2

27,5

62,5

125,08

123,5

-1,38

0,76

18,5

323,9

1501

12

0,99

2

2

1,00

K3

30,5

60,5

75,58

58,22

0,19

1,11

14,6

182,2

604,6

8

0,77

4

5

0,80

.

.

.

.

.

.

.

.

.

.

.

.

.

.

 

k109

17,5

12,5

58,18

38,32

-0,78

0,64

11,3

133,7

930,9

16

0,66

1

1

1,00

k110

27,5

12,5

13,58

13,58

0,00

0,00

13,6

13,5

13,5

1

1,00

1

1

1,00

k111

47,5

12,5

65,97

41,75

0,56

1,12

28,5

131,0

239,8

5

0,63

3

4

0,75

In this table -№- number 0f poligons; x,y- coordinates central point in each square; s-average parameter Ld-average declination , Lex-coefficien of exses, Las-coefficient of asymmetry, Lmin-minimal, Lmax-maximal, Lsum-summary, Lnseg-number of segments of geographical neighbour, Lcv-coefficient of variation; Sm-number of landscape types, Sn-number of individual landscape contours, Sm/n –coefficient of landscape unhomogenity. Using this elements  composed the next digital maps which shoving spatial organizations each landscape elements which used in agriculture planning.

Pic. 1. Digital maps for spatial distribution of variation coefficient landscape neighbour length.on example Azerbaijan territory

Pic. 2. Digital map for spatial distribution coefficient asymmetry landscape organization on example  Azerbaijan territory

Pic.3. Digital map for coefficients of correlation  between soil and vegetation cover on the territory of Azerbaijan (by elements of geographical neighbour)

 

Pic.4. Digital map for coefficient of correlation between relief and soil elements on the territory of Azerbaijan (by geographical neighbour)

 

 

Reference:

  1. Nabiyev A.A. – The role of computer geography in the innovation developments of economy// In book “FACTORS OF INNOVATION DEVELOPMENTS OF THE MODERN ECONOMY”, Almata, 2011,“ECONOMY” Publisher, page 179-190. (in Russian language).
  2. Mathematical methods in geography. Kazan, KSU, 1971 300 p. (In Russian language).
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