First we used various kinds of data to build a database of grass 
resources evaluation for this county. These data are from remote 
sensing images and non-remote sensing data such as hydrology, soil 
types,landuse types,elevation,slope,climate,agriculture economy etc 
and then we used computer to aid grass resources evaluation with 
various mathematical analysis models. The obtained results will 
provide a scientific basis for the local government to develop and 
utilize grass resources. 
4-2 MATHMATICAL ANALYSIS MODELS 
4-2-1 Region similarity analysis model 
On the basis of geographical network system, lichuan county is 
divided into 57 grids (10x10 km). Various kinds of corresponding 
data in database are contained in every grid. 
Generally, there are two steps for region similarity analysis: 
step 1: 
To fromulate fuzzy similarity matrix for 57 grids 
A{ a( i, j) 
i = l»2, 
j=l,2, 
and 
n 
a(i,j)= 
XX X 
K=1 (IK) ( J k > 
—n 
K z i x? 1K) x 2 (JK 
(8) 
(9) 
x(i,k) is the Kth index in the ith grid 
a(i,j) is similarity-degree of the ith and jth grid 
step 2: 
By using maximal brace tree and fuzzy cluster lichuan country 
is divided into 7 region there the nature condition and direction 
of development are similar, see Figure 3(a). 
4-2-2 Region evaluation model for 1ivestoke-farming suitability 
The single condition parameter suitability is expressed as 
d(ij)—a(j) 
e(ij)= 
b( j)-a(j) 
*40+60 
l<i<L (L is Number of grids) 
l<j<N (N is Number of parameters) 
and the general suitability is 
(10) 
E(i)~( IT e (i J) c ( j)) j = i (J) 
j = 1 
where 
(11) 
a(j), b (J), c( j), is not permit value, satisfaction value, and 
weight respectively,d(ij) is the actual value of the jth parameter 
of the ith grid. 
According to the modle analysis by computer we get the final 
result and point out that thirteen area of lichuan county 
are suitable for construction and developement of livestock-farm 
(see Figure 3(b)).