2. .. GIS 3. .. 2 4. .. 5. .. 6. .. 7. .. (buffering) Thiessen
polygon (Network Analysis) (Surface Analysis) 8. .. (Buffering) 2
11 (Point) 1 (Point) 2 (Line) (Polygon) (Inside) (Polygon)
(Outside) (Polygon) (Inside and 9. .. A NOT AAB A AND B AB A OR
BABA XOR B 10. .. (Network Analysis) 11. .. 12. .. (Surface
Analysis) TIN DEM DEM 2 13. .. ( ) ( ) 14. .. 3 15. .. 3 2 1 16. ..
5 4 3 17. .. 18. .. 19. .. 20. .. GIS (.) 21. .. GIS 22. 3 23. ..
24. .. 25. .. . . 26. .. 1. 2. 3. 4. 5. 6. 7. 8. 9. 27. .. . 1.1 =7
= 6 =5 =4 28. .. 29. .. 30. .. 31. .. 32. .. 33. .. 34. .. 35. ..
1.2 Spatial Analysis + 36. .. 1.3 37. .. 1.4 38. .. 1.5 39. .. 40.
.. . .. . . 2. 2 3 .. 1 3 . . . . 3. . . . 41. .. (..) 42. .. 43.
.. . 44. .. 1. : , , 2. : , 3. 45. .. 2. 1. 46. .. 2. 47. .. 3. 48.
.. 4. 49. .. 5. 50. .. 3. . . . . . . . . . . . - 51. .. 4. . . . .
. . . . . . . . . . . . . . . . . . . . . . .. . . . . . 52. .. 5.
### # ## # # # # # # # ## # ## # # # ## # # # # # # # # # 1)
(Potential Eco-tourism Area) . . . . . 2) 6 1 - 1 1 -1 2 5 1 -2 6 3
(Suitable Area for Eco-tourism ) # # # # #### # # ## # ## # # # # #
# # # # # # # # # # # ### # # # ######## # # 53. .. 3 54. .. 4 55.
.. LEPTOSPIROSIS LEPTOSPIROSIS 56. .. 29 254 .. 29 254 2544 523 4
25 - 34 57. .. 29 254 .. 29 254 . 2 3 -2 4 . 57 5476 334 010 13 1
810 0517 41 94 6 5 1. 2. 3. 4. 5. 8 2 10 0 7 520 0 14 14 58. .. 1.
2. 3. 4. 5. 6. 59. .. 1. 11. 1 1 1 2. 2 2. 2 2 2 3. 3 3. 3 3 3 4. 4
4. 4 60. .. 5 5 . 4 . 4 2 2 . 3 . 3 1 1 . 2 4 . 2 3 1 1 1 231 61.
.. 1. 1. (1) (1) 0.01 --0.35 ./.. .. 0.01 0.35 ./ 1 1 0.35 --0.70
./.. .. 0.35 0.70 ./ 2 2 0.70 --1.00 ./.. .. 0.70 1.00 ./ 3 3 1
./.. .. 1 ./ 4 4 62. .. 2. 2. (2) (2) 0.01 --0.35 0.01 0.35 ./.. 1
./.. 1 0.35 --0.70 0.35 0.70 ./.. 2 ./.. 2 0.70 --1.00 0.70 1.00
./.. 3 ./.. 3 1 ./.. 1 ./.. 4 4 63. .. 3. 3. (3) (3) 0 --900 .. 1 0
900 .. 1900 --1,800 .. 900 1,800 .. 2 2 1,800 --2,700 .. 1,800
2,700 .. 3 3 2,700 .. 2,700 .. 4 4 64. .. 4. 4. (4) (4) 30 30 % 1 %
1 20 --30 % 20 30 % 2 2 10 --20 % 10 20 % 3 3 0 --10 % 0 10 % 4 4
65. .. 5. 5. (5) (5) 1,500 1,500 1 1 1,001 --1,500 1,001 1,500 2 2
501 --1,000 501 1,000 3 3 500 500 4 4 66. .. 6. 6. (6) (6) 4 4 3 3
2 2 1 1 67. .. 12 42 1 22 32 4 2 68. .. (Overla ying) M = M1W1+
M2W2 + MnWn Overlay Matrix + ( ) + + ( ) 69. .. 2.0 % 1 2.0 % 1
12.5 % 12.5 % 2 2 67.1 % 67.1 % 3 3 18.1 % 18.1 % 4 4 70. .. 71. ..
60 - 60 95 95 96 96 --130 130 131 131 --185 185 72. .. 73. .. 74.
.. 75. .. 76. .. 77. .. - - - 78. .. - - Recycle 79. .. 1. 2. 3. 4.
5. 80. .. - - 1. () 5 2. () 4 3. () 3 81. .. (Buffer) 2 km. 1 km. :
05 Buffer : 05 (point) : 1 05 10 . 0 1 . - 2 . 5 ... 82. .. 1. (5)
(.) 1 . 1 - 2. 2 .0 5 10 83. .. (4) (.) 1 . 1 - 2. 2 .0 5 10 84. ..
(3) (.) 1 . 1 - 2. 2 .0 5 10 85. .. 4. (2) 500 500 - 1,000 1,000 0
5 10 86. .. . (1) 0 5 10 87. .. (Overla ying) M = M1W1+ M2W2 + MnWn
88. .. 12 42 1 22 32 4 2 89. .. 1. (4) (5) (3) (2) (1) 90. .. 0 -
100 101 - 150 151 - 210 91. .. 92. .. 93. .. 94. .. : , 2541 95. ..
1. 2. 3. 96. .. 1. 2. 3. 4. 5. 26 228 129 1 10 1026 2 28 129 1 10
10 97. .. > 2,00 0 1 98. .. > 0.02 1 99. .. 1. 1 100. .. . .
. 2000 . = 1 . . . . . . . . . . . . . . . . . 101. .. 2. 102. ..
SE SE SSE NNW NE ENE NNE 103. .. 1 104. .. 2 105. .. . . . 2000 . =
1 . . . . . . . . . . . . . . . . . 106. .. 3. 2-6 2542 107. ..
108. .. . . . 7 %=1 5 . . . . . . . . . . . . . . . . . . . . 109.
.. 4. 110. .. . . . 00 . =1 .2 . . . . . . . . . . . . . . . . . .
. . 111. .. 5. 112. .. 113. .. . . . 6 /=1 0 . . . . . . . . . . .
. . . . . . . . . 114. .. 1. (Spatial Data Analysis) (overlaying)
2. (Non-spatial Data) 1 2 n M=MW+MW+M 1 2 n Matrix W 115. .. 1. 2.
3. 4. 5. . . . . . . . . . . . . . . . . . . . . . . . 116. ..
>36 = 26-36 = 5 = 5 = . < 5 = . . . . . . . . . . . . . . . .
. . . 121. .. . . . . . . . . . . . . . . . . . . . . . . . 122. ..
. . . . . . > 5 = . 5 = . . < 5 = . . . . . . . . . . . . . .
123. .. . . . . . . > 5 = . 5 = . . < 5 = . . . . . . . . . .
. . . . 124. .. 125. .. 6 9 126. .. Remote Sensing 127. .. 4 , 5 3
RGB 2 1. (Overlaying)2. GIS Collection ( GIS) (Change Matrix of
Land Use) Coincident Matrix 1 128. .. 1. : Landsat 5 TM 11 .. 2543
2 ..2544 7 129. .. Landsat-TM 2543 Landsat-TM 2544 (11 2543) (2
2544)Overlay / Change Use Matrix of Land Chang Concident matrix ed
Land Use Change 2543 2544 130. .. LANDSAT 5 TM .. 2543 .. 2544
matrix 2 3 4 ( 3)1. .. 2543 236,870.02 35.44 .. 2544 236,106.67
35.34 736.35 0.10 131. 158,023.29 23.65 .. 2544 56,547.19 8.46
214,570.48 32.11 ( 2) 763.35 60,981.87 ( 3 4) 3. 2543 265,177.94
39.68 .. 2544 55,783.84 8.35 209,394.10 31.33 132. .. 2543 254 . .
. . 133. .. 2543-2544 . . 134. .. 236,870.02 (2543) 236,106.67
(2544) 763.35 60,981. 87 2543 = 2543 = 158,023.29 265,177.94
5,198.0 2544 = 2544 = 209,394.10 3 3 214,570.48 .. 2543-2544 135.
.. ( ) . 2 4 . 54 . 2 4 . 53 . 2 4 . 53 1 .2 6 0 .6 7 6 5 3 ,1 6 7
3 .3----2 6 7 .0 3 .4 3 ,8 0 2 5 42 .-1 2 2 .2 5 9 .0 5 ,8 5 6 ,1 8
3---1 8 2 .2 2 .6 5 ,0 3 9 3 53 .-6 ,9 1 7 2 4 9 .0 0 8 .8 0 ,1 6
7---2 5 7 .9 3 .6 6 ,1 7 4 9 84 .---1 4 .9 ,1 4 7--1 4 .9 ,1 4 707
.15 .----2 5 .9 ,1 6 1-2 5 .9 ,1 6 102 .36 .-----4 0 .9 4 0 .9 ,9 4
1 ,9 4 103 .7. 2 4 . 54 2 6 0 .6 2 4 7 .4 2 9 9 .1 1 4 .9 2 5 .9 4
0 .9 6 8 7 .0 1 0 0 3 ,1 6 7 1 ,5 0 8 0 ,3 4 0 ,1 4 7 ,1 6 1 ,9 4 1
6 ,2 8 4 0 .0 3 .3 543 .1 213 .3 1307 .102 .303 .710 0 0 .0- 3
Concident Matrix 2543 2544 136. .. ( ) . 2 4 . 53. 2 4 . 54( )1 .2
6 7 .0 3 ,8 0 22 6 0 .6 3 ,1 6 7-7 6 5 3 .32 .1 8 2 .2 5 ,0 3 92 4
7 .4 1 ,5 0 8+5 ,5 7 9 6 4 .13 6 ,1 7 4 . 2 5 7 .9 2 9 9 .1 0 ,3 4
0-5 ,7 3 4 5 8 .84 .1 4 .9 ,1 4 71 4 .9 ,1 4 7-5 .2 5 .9 ,1 6 12 5
.9 ,1 6 1-6 .4 0 .9 ,9 4 14 0 .9 ,9 4 1- + - 4 .. 2543-2544 137. ..
138. .. 139. .. ( ) 140. .. 141. .. 33,647.2 142. .. ( 143. .. (
144. .. 145. .. ( 146. .. 147. .. 3 TM 3 148. .. 149. .. ( 7,5,4
4,5,3 150. .. ( eographic Information System) 151. .. Spatial
Spatial Attribute 152. .. ( 153. .. ( Spatial Digitize 154. .. (
Attribute 155. .. ( Attri buteSpati al 156. .. ( 1 2 157. .. ( 33
Potential Map Overlay Technique 158. .. ( 159. .. ( 160. .. (Fire
break) 161. .. 162. ..
