Computer Analysis of Spatial- Temporal Organization of Structure Landscapes of the Azerbaijan Republic

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Computer Analysis of Spatial- Temporal Organization of Structure Landscapes of the Azerbaijan Republic

2. Analysis matrix of neighborhood differences.
By the A.G.Topchiyev's neighborhood differences.

DELTA (I,j) = S(j,I)- S(j.i) and DELTA (j,I)-S(i,j)
To establish and quantitatively cost relations predominate subordination for every pair of elements of landscape structure. The sum of positive and negative differences are using for systematic of landscapes structure elements by their appearance in spatial structure' Criteria's of systematic were these conditions .

summer of negative neighborhood of differences shows, that these paleolandscape are dominants in spatial organization, so that they appears as main elements of paleolandscape structure.
Sums of positive neighborhood differences shows that these paleolandscape are sub dominates so that they are subordinate elements of this landscape structure.
The elements of paleolandscape structure with zero neighbourhood difference is characterized accidental distribution.

WE created transition matrix of neighbourhood differences on the bases of matrix of meting of paleolandscapes.

Result Example

Table 2. Transition matrix of neighbourhood difference in " Middle Pliocene".

\N\N\	1	2	3	4	5	6	7	8	9	10	11	12	13	14	SUM(-)	SUM(+)
1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
2	0	0	-1	0	0	0	0	-1	0	0	0	0	0	0	-2	0
3	0	+1	0	0	0	0	0	0	0	0	0	0	0	0	0	+1
4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
6	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
7	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
8	0	+1	0	0	0	0	0	0	0	0	0	0	0	0	0	+1
9	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
10	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
11	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
12	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
13	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
14	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

At result of these matrix we followed elements of paleolandscape structure by their appearance in spatil structure. Composed the maps of dominate and subdominate elements of paleolandscape structure.

3. Matrix analysis of positional resemblance
Matrix of positional resemblance was computed on the base of species and individual resemblance matrix with the help of hemming measures, which look as follows.

P(i,j)=

N(i,j)
-------------------------
N(i)+n(j)-n(i,j)

Where n(i0, n(j)-number of neighbours "i" and "j" natural complexes: but n(i,j) the number of common neighbors., computing examples ( table .3).

Table 3.

Species NC	number of individual contour of landscape
	1	2	3	4	5	6	7	8	9	10	11	12	13	14
Si (2)	1	0	1	1	0	0	0	1	0	0	1	0	0	0
Si (3)	1	1	0	1	1	0	1	1	1	1	0	0	0	0

Common neighbors +-----------+----------+--------------------------------

(here data taking of Table 1)

The value of positional resemblance is changed in the limits of 0-1 and can be interpreted as follows:

1. The high resemblance	0,6 <=p(I,j) <=1.00
2. Average resemblance	0,30 <=p(I,j)< 0,60
3. Low resemblance	0,00 <=p(I,j) <0,30

Computation Example
Matrix of positional resemblance for Middle Pliocene (II)

Table .4.

1	2	3	4	5	6	7	8	9	10	11	12	13	14
1	.14	.22	.33	.20	.00	.25	.50	.50	.14	.16	.00	.00	.00
2		.30	.16	.16	.00	.16	.16	.14	.14	.12	.16	.16	.00
3			.11	.11	.12	.11	.10	.11	.09	.10	.00	.11	.00
4				.25	.00	.33	.66	.25	.15	.20	.00	.00	.00
5					.00	.25	.20	.15	.00	.00	.00	.00	.00
6						.50	.00	.33	.00	.00	.00	.50	.00
7							.25	.33	.16	.00	.00	.33	.00
8								.20	.14	.16	.25	.25	.00
9									.14	.00	.00	.25	.00
10										.12	.00	.00	.00
11											.00	.00	.25
12												.33	.00
13													.00
14

Map example of paleolandscape organization in Middle Pliocene.
On basis the table 4 and interpretation we have lined out gramped and weekly connected elements of paleolandscapes structure of the investigated region. These structural interrelations are presented as color graph-model, which showed all characteristics of positional resemblance NC.

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