1. LAND SUITABILITY ASSESSMENT FOR PUMMELO IN NAKORNPATHOM USING GEOGRAPHIC INFORMATION SYSTEM (GIS).

2. GEOGRAPHIC INFORMATION SYSTEM - The changes of land use - The spreading of plagues - The medical use Etc. Economics Mathematics Computer and Technology Biology Chemistry (Geology) Geography Branches of science

3. Purposes 1. To study the surroundings that are suitable for the growth of Pummelo trees 2. To classify the land suitability for the growth of Pummelo trees in Nakornpathom 3. To assemble basic data of Nakornpathom which is used in evaluating the suitability of growing Pummelo trees 2. Ability of agriculturists and landowners in determining and conspiring the most efficient land use 3 . The basic method of GIS adaptation for the use in many fields, especially in agricultural developing in Thailand 1. Decreasing in capital production of Pummelo gardening in Nakornpathom province Benefits

4. Steps of study Specifying factors Managing and assembling data Analyzing data by using GIS Studying and conspiring Specifying weighting and rating scores of factors Displaying the output through the map of land suitability assessment

5. Studying and conspiring To assemble properties of each soil profile Land Development Department of Thai Government ( June 2534) Soil profile data in Thailand i.e. Pummelo roots are in a depth of 50 – 1oo centimeters Suitable pH is in the range of 5.6 -6.5 - Qualitative Land Evaluation, Land Development Department of Thai Government - Walaiporn Sasiprapa, majoring in information management on environment and natural resources Means to compare land suitability for the growth of Pummelo trees Notes Origins Tools

7. Notes Origins Tools To assemble, manage and analyze data, also to demonstrate the output map of land suitability for the growth of Pummelo trees in Nakornpathom Faculty of Environment and Resources Studies, Mahidol University Software used in GIS ( We used ArcView GIS 3.3 and AreGIS 9.1 ) i.e. maps demonstrate the boundaries of districts, soil profiles, streams, roads in Nakornpathom Faculty of Environment and Resources Studies, Mahidol University Nakornpathom GIS database

8. Procedure flowchart Soil profile in Thailand Soil profile in Nakornpathom 1 st factor 2 nd factor GIS database 3 rd factor 4 th factor SOFTWARE OUTPUT Highly suitable Moderately suitable Moderately suitable Poorly suitable Poorly suitable Means

9. Specifying factors Letters in yellow are factors used in the project Distance from transportation routes Distance from streams Price of land Land development Land use Land preserved by agriculturists etc. External factors Quantity of nutrition in soil Nitrogen ( ppm) Phosphorus ( ppm) Potassium ( ppm) pH in soil Drainage ( class) Air temperature Soil temperature Steepness of land Quantity of rain Areas of flood etc. Internal factors note Examples of related factors

10. Conclusion of area data and explanation Royal Irrigation Department Department of Highways Land Development Department Department of Provincial Administration Creating institutes Floor streams Polygon, line Attribute Mahidol University Streams Routes Line Attribute Mahidol University Transportation routes Soil profiles Drainage Phosphorus Potassium pH Polygon Attribute Land Development Department Soil profile Districts Provinces Polygon Attribute Mahidol University Boundaries of administration Explanation Types of data Origins Layers of data

11. Managing and assembling data Importing data to GIS method

12. Connecting data with graphic

13. Classification of factors

14. Dissolving data

19. Making buffers

23. Specifying weighting and rating scores of factors 2 6 2 6 2 6 < Class 4 Class 4 – class 6 6 – 15 ppm < 6 ppm 30 – 60 ppm < 30 ppm 10 10 > 15 ppm Potassium quantity 2 10 8 > Class 6 Ability of drainage 3 10 10 > 60 ppm Phosphorus quantity 1 Ability ( Rating ) Importance ( Weighting) Scales Variables/factors Arrange

24. 2 6 2 6 2 6 > 1 Km 0.5 – 1 Km 0.5 – 1 Km > 1 Km pH 6.5 – 7.8 or pH 5.0 – 5.6 pH > 7.8 or pH < 5.o 10 5 < 0.5 Km Distance from streams 5 10 5 < 0.5 Km Distance from transportation routes 6 10 8 pH 5.6 – 6.5 pH 4 Ability ( Rating ) Importance ( Weighting) Scales Variables/factors Arrange

25. Overlaying analysis from the equation S = W 1 R 1 + W 2 R 2 +………+ W n R n when S = Suitability score from all factors or potential of land W 1…n = Weighting score from 1 st to n th factor R 1…n = Rating score from 1st to n th factor Analyzing data

29. Classifying output by using range Range = maximum – minimum 132 = 284 - 152 Specify 3 classes, that is , 3 floors width of each floor = range / numbers of floors = 132 / 3 = 44 3 2 1 class High potential Moderate potential Poor potential meaning 242 - 286 197 - 241 152 - 196 Period of floors

30. 3 2 1 class High potential Moderate potential Poor potential meaning 242 - 286 197 - 241 152 - 196 Period of floors

31. The output

36. Questions

38. Thank you