This study aims to study the current situation towards to innovation management model of world heritage city museum on historical park for creative tourism in the lower part of Northern part of Thailand. 1) Formulate and check the innovation management model of world heritage city museum on historical park for creative tourism in the lower part of Northern part of Thailand with the mixed-method research by focus on Delphi- Technique. The samples are public sectors which are related to world heritage city museum on historical park and also the government sector of world heritage city museum on historical park. The data are collected by questionnaires and employed by indepth interview method. In the quantitative part this study uses multiple classification analysis: MCA to analyze the data. The samples are 18 tourists in the Sulkhothai and Kampaeng Phet historical park. The questionnaires are distributed three times to 400 tourists. The descriptive statistics is median mode average standard deviation. Absolute value of the difference between mode and median and inter-quartile range are used for considering the congruence check and confirm the data. The results find that: 1. The congruence which is obtained from Delphi technique has affected to innovation management model of world heritage city museum on historical park for creative tourism in the lower part of Northern part of Thailand as followings: As for strategic factors 1.1) Structure Management 1.2) Participation with public sector and local community 1.3) Domestic management of museum 1.4) Public management of museum 1.5) Public relation factor 2) As for quality service factor (SERVQUAL) 2.1) Practical service factor 2.2) Reliability 2.3) Responses factor 2.4) Confident factor 2.5) Concerning of employee 2.6) Concerning of historical park 3) Successful factors (HISTOQUAL) 3.1) Friendly and polite staffs 3.2) Readiness to spend time with tourists 3.3) Functional area for tourist 3.4) Convenient and practical time for tourists 3.5) Content in the event 3.6) Solid content in the event which is explainable to tourist 3.7) New and modern technologies 3.8) Manual guide for professional tourism 3.9) Practical and easy instructions 3.10) Attractive museum structural and building 3.11) Practical and welldetailed information for tourists 3.12) Cleanliness of both inside and outside the museum area 2. The synthesized finding from the return questionnaires from specialist shows that the criteria for set up the congruence of the data from statistic which has the possible median which could occur from the range between 4.00-5.00. Also interquartile range is less than or equal 1.00 (IR < 1.00) and the differences between median and mode is not more than 1. 3. The Multiple Classification Analysis : MCA finds that the factors which influencing successful factor innovation management model of world heritage city museum on historical park for creative tourism in the lower part of Northern part of Thailand is strategic factor which is composed of domestic management level factor has the beta value = .450 public management level has the beta value = .384 and the least beta value is participation with public sector and local community which has the beta value = .184 consecutively. Also the quality factor is affected to successful factor in the beta value of .731 From the results this study reveals the practical model for innovation management model of world heritage city museum on historical park for creative tourism in the lower part of Northern part of Thailand. The model is SERVHISTOQUAL-Satisfaction- Service Quality Model which is confirmed by 18 specialists and 400 tourists which is could be divided in 3 parts as followings: 1) Manufactures 2) Management sector 3) Consumer sector. In addition it includes the practical manual guide instruction for creative tourism in Sukhothai and Kamphaeng Phet historical park.

Thailand is an agricultural country. So that the water resources are important. The water management is very important for keep the water used in necessary time. The monsoon is causes a heavy rain. The monsoon prediction by the mathematical model is important. The accuracy of the forecasts by the predictability measurement method is very important. In this research improvement the predictability measurement for the winter monsoon prediction in the Southeast Asia by the shallow water model. The data from The Bjerknes Centre for Climate Research (BCCR) University of Bergen Norway. The global climate model is Bergen Climate Model (BCM) Version 2.0 (BCCR-BCM2.0) of the Intergovernmental Panel on Climate Change (IPCC) are used. The data for run the model on 19 December 2059 from the WCRP CMIP3 is the initial condition. The model is run for 7 days forecast. The Lyapunov exponent (LE) is the predictability measurement method for verify the efficiency of the model and improvement the largest Lyapunov exponent (LLE) by limit theorems for verify the efficiency of the model too. The results to show that the shallow water model can be prediction the winter monsoon for 4 days forecast is accuracy when compare with the BCCR-BCM2.0 model and measure the accuracy by LE. In addition the improvement the LLE by limit theorems can be measure the accuracy of the winter monsoon for 4 days forecast to same as the LE. Therefore the improvement the LLE by limit theorems can be measure the accuracy of the winter monsoon prediction in Thailand by the shallow water model are suitable.

The objectives of this research are to propose a model for estimating and detecting rice yields in Thailand to investigate the factors related to the rice yields to find the trend and to construct the maps of rice yields in Thailand. A linear mixed model (LMM) including the spatial effects which follow the conditional autoregressive model (CAR) and the time effects which follow the first-order linear autoregressive (AR(1)) model is proposed. The estimated rice yields are used to construct the rice yield maps in Thailand. The dependent variables are the rice yield in each month of each province. The factors considered are rainfall average temperatures and regions. The results indicate that the factors enfluencing the rice yields are rainfall average temperatures and regions (North Northeast South East West Central region is a refrence region). The trend also effects the rice yields. The rice yeilds maps are easy for readers to identify which areas have high or low yields and easy to compare the yields among areas by looking at their different colors.

The objectives of this research are to propose a model for risk assessment of Measles and Rubella morbidity in Thailand to investigate factors influencing on the Measles and Rubella morbidity rates and to construct the disease maps of those two diseases. The generalized linear mixed model (GLMM) in which the responses have a Poisson distribution and the spatial effects follow a multivariate conditional autoregressive model (MCAR) are adopted. The dependent variables are the number of Measles and Rubella disease patients in each province. The factors considered are average temperature the amount of rainfall and regions. The results show that the temperature rainfall and regions influence on the Measles and Rubella morbidity rates. Measles and Rubella maps are easy for readers to see which areas are at high risk and to compare the morbidity rates among those areas by looking at those different colors.

The research project is : Study Thaiyoun cultural identity of Thailand for package design local food. Street culture of Sao Hai District Saraburi. The purpose is 1) To study the information of the road. In the design of local food packaging Thai Cultural Road Sao Hai District Saraburi 2) To design local food packaging Thai Cultural Road Sao Hai District Saraburi To upgrade and add value to the product. According to the design principles of packaging. 3) To evaluate the satisfaction of the new indigenous food packaging model. Thai Cultural Road Sao Hai District Saraburi. The research method consists of studying the research. Packaging design and development phase Evaluation of the satisfaction with the form of packaging. The data obtained were analyzed for mean. And standard deviation and summary The results showed that the local food packaging Thai Cultural Road Sao Hai District Saraburi. The results of the analysis showed that the overall condition of the satisfaction of the new packaging model of the target group. The level of satisfaction was 4.40. It is divided into 2 areas Packaging Design The most satisfying aspect was the overall form of packaging structure. Suitable for the product. The highest level was 4.58. And graphic design aspects of packaging. The most satisfying is that the packaging has the color of the image in harmony with the message content. The highest level was 4.83