The Journal of Spatial Innovation Development

The Quality of Service that Affects the Satisfaction of the Service Recipients of the Administrative Unit, School of Information and Communication Technology, University of Phayao

Wanphen Thavonchot — 2024-02-28

The objectives of this study were to 1) investigate the quality of service influencing the satisfaction of administrative service recipients, 2) investigate the relationship between service quality and administrative service recipient’s satisfaction; and 3) evaluate the quality of service influencing the satisfaction of service recipients through administrative units. In this study, the sample consisted of three content specialists and sixty academic and administrative employees from the School of Information and Communication Technology at the University of Phayao. The data was analyzed and presented using descriptive and reference statistics such as Pearson's mean, standard deviation, simple correlation, and stepwise multiple regression analysis. The findings revealed that the level of service recipient’s satisfaction as a whole was very favorable (= 4.45, S.D. = 0.52). Service quality had a high degree of correlation with service recipient’s satisfaction (Pearson Correlation = 0.850), with a statistical significance of 0.01. The set of service quality variables produced a good forecasting equation for administrative service recipient satisfaction (R² = 0.869.) with statistical significance at 0.01 and 0.05.

Digital Technology for Driving Sustainable Learning in the Old City of Songkhla's Cultural Heritage

Phitsanu Anucharn — 2024-02-28

The objectives of this study are as follows: 1) to design and implement a spatial database system that features cultural heritage sites; 2) to establish a via the internet mapping system that can be used to exhibit cultural heritage sites; and 3) to construct a prototype automated response system that delivers pertinent information regarding cultural heritage sites situated in the historical city districts of Songkhla, more precisely along Nang Ngam Road, Nakhon Nok Road, and Nakhon Nai Road. As the only criterion for inclusion, architectural, historical, and lifestyle elements are prioritized over geospatial coordinates. Geographic data is gathered during the research process by conducting literature evaluations that focus on the cultural heritage of Songkhla, specifically in the domains of architecture, history, and way of life. In addition to photographs, geographic coordinates of pertinent sites were gathered through fieldwork. The gathered information was classified into two categories: tangible cultural heritage locations, which include landscapes and architecture, and intangible cultural heritage, which includes food, traditions, customs, and beliefs. The data were structured using the WGS1984 datum in conjunction with the UTM grid coordinates. The research has yielded the creation of three systems: an automated response system, an online mapping system, and a geospatial database. The purpose of these platforms is to facilitate the distribution of knowledge regarding the cultural heritage of the ancient city of Songkhla. In order to acquaint community members and pertinent organizations with the online mapping system and the automated response system, instructional and knowledge transfer sessions were organized. User satisfaction with the systems as a whole is very high, according to the study, which reveals an average rating of 4.59 and a standard deviation of 0.54. These systems facilitate the extensive distribution of significant knowledge regarding worldwide cultural heritage, thereby aiding in the conservation of traditional ways of living and promoting a more profound affinity towards the region.

Performance Evaluation of Low-Cost Unmanned Aerial Vehicles for Surveying and Mapping of Buildings in Local Government Organization Application: A Case Study of Mae Ka Subdistrict Municipality

Chayakon Pumnon — 2024-02-28

This research aims to evaluate the efficiency of low-cost unmanned aerial vehicles (UAVs) for surveying building and infrastructure data for the local government's organizational applications. The survey and mapping utilize low-cost UAVs for aerial photography in the densely built-up area around University of Phayao. The selected UAVs for this survey are DJI Phantom 4 Pro V2 and are set to fly at an altitude of 90 meters with 80% and 60% overlap for forward and side overlap, respectively. The image resolution is set at 2.45 centimeters per pixel. The acquired aerial images are then processed to generate point cloud data, orthophotos, and numerical elevation models. The image processing involves adjusting parameters for image alignment, creating 3D points at high and medium levels, and extracting building information to measure the area sizes at different scales, including 1:100, 1:250, and 1:500. After obtaining building and infrastructure data, an accuracy assessment is conducted by comparing it with the field survey data collected for the local municipality's tax map system. The results show that the orthophotos generated from low-cost UAV surveys closely match the surveyed data in terms of building and infrastructure sizes. The most accurate scales are found to be 1:250, 1:100, and 1:500, respectively. This study concludes that low-cost UAVs can effectively support traditional survey methods for building and infrastructure data collection.

Application of the Geographic Information System to devolop land valuation models, case study: Muang Chiangmai District, Chiangmai Province

Pennipa Kumpu — 2024-02-29

This research aims to build a model of land valuation in the district of Chiang Mai and It is a way to assist the government in determining the land valuation prices to be similar to the market prices, this would be another way to increase government revenue. Therefore, the study focused on analyzing factors that influenced land valuation in the district of Chiang Mai, Chiang Mai Province. The study utilized two sample groups: Land parcel data from registered land transactions and legal documents obtained from the Chiang Mai Provincial Land Office. The data covered the period between May 2017 and November 2022, comprising 2,821 data points. Additionally, an online survey using Google Forms collected 300 responses as an additional sample group. Descriptive statistics and inferential statistics, including the mean, percentages, maximum, minimum, and multiple linear regression using the stepwise regression method, were employed to analyze the data.

The results found that the influence factor on land valuation prices in the district of Chiang Mai, Chiang Mai Province, with positive relations include the street value, plot width, distance from pollution sources, and the availability of public utilities and facilities. While the factors influencing the land valuation prices in the district of Chiang Mai, Chiang Mai Province, with the negative directions, were the land area. Total number of five factors. The model is effective in predicting land valuation prices in Mueang Chiang Mai District, Chiang Mai Province, equal to 56.9 percent.

Study on the Method of Sea Surface Chlorophyll-a Measurements Base-on Sentinel-3 Satellite Imagery in Coastal Areas of Trat Province

Patrawut Thaipichitburapha — 2024-03-05

This research objective was studied on the method for measuring the amount of chlorophyll-a at the sea surface in coastal areas of Trat Province by using satellite image data. By using the reflectance properties measured by satellite sensors, which was analyzed together with data from in situ to create an algorithm that can be used to measure chlorophyll-a values. The useful in measuring of chlorophyll-a values which an appropriate method to obtain accurate and fast information and was obtained the spatial information in a wide area. This allows the results to be used to plan for further coastal management. Three cruise field data set were investigated from the south along coast of Trat province. Forty-five data sets were collected, including data from November 2020, January 2021, and March 2022. It was found that the average values were 0.65+0.38, 0.74+0.18, and 1.05+0.10 micrograms per liter, respectively. Then, input sea surface chlorophyll-a to three candidate algorithms were analyzed based on reflectance of Sentinel-3 satellite imageries which was calculated of radiance to reflectance. Correcting atmospheric distortion was used to develop the best algorithm derived from satellite data. The results showed that the OC3M algorithm gave the highest correlation value (R²=0.77) and was suitable for use
in estimating chlorophyll-a values in the coastal area of Trat Province. In addition, the results were compared
the relationship of the amount of chlorophyll-a which measured in the field with OC3M and NN algorithm from the Sentinel-3 satellite. It was found that the correlation coefficient (R=0.68) was not different. Therefore, it can be concluded that the NN algorithm from the Sentinel-3 satellite can be used to estimate sea surface chlorophyll-a values in the coastal area of Trat Province without having to analyze it through various algorithmic processes.

Implementation of Geographic Information Technology for Mapping and Studying Elephant Encroachment Density on Agricultural Land Outside Protected Zone

Pakkawee Wannagoon — 2024-03-15

การทำความเข้าใจพฤติกรรมในอดีตของช้างที่บุกรุกพื้นที่เกษตรกรรมภายนอกเขตอนุรักษ์สามารถสนับสนุนการวางแผนป้องกันปัญหาดังกล่าวในอนาคตได้ ดังนั้นวัตถุประสงค์ของการศึกษาครั้งนี้คือ 1) การสร้างแผนที่ความหนาแน่นของช้างที่ออกนอกเขตรักษาพันธุ์สัตว์ป่าดอยผาเมืองโดยใช้การประมาณค่าความหนาแน่นเชิงพื้นที่แบบเคอร์เนล และ 2) เพื่อวิเคราะห์ประเภทของเกษตรกรรมที่ดึงดูดช้างโดยใช้ข้อมูลตำแหน่งและวันเวลาที่พบช้างออกจากเขตอนุรักษ์ ตั้งแต่ปี พ.ศ.2559-2565 จำนวน 125 ครั้งสร้างเป็นชั้นข้อมูลระบบสารสนเทศภูมิศาสตร์ การวิเคราะห์ข้อมูลด้วย การซ้อนทับกับชั้นข้อมูลสภาพการใช้ที่ดิน การศึกษาพบว่าช่วงเวลาที่มีพื้นที่ที่มีช้างหนาแน่นมาก คือ ฤดูฝน รองลงมาคือ ฤดูร้อน และหนาว นอกจากนี้หากพิจารณาทิศทางการกระจายตัวของช้าง ช่วงฤดูฝน ช้างออกหากินกระจายเกือบทั่วทั้งพื้นที่ศึกษา แต่ในทางกลับกัน ช่วงฤดูร้อนและหนาว การบุกรุกของช้างมีการกระจายอย่างมีทิศทางชัดเจนไปที่ผลผลิตทางการเกษตรที่ยังเหลืออยู่ โดยพื้นที่เกษตรกรรมที่ได้รับผลกระทบจากช้างมากที่สุด คือ นาข้าว รองลงมาคือ ไม้ผล และพืชไร่ อย่างไรก็ตาม หากเป็นช่วงฤดูหนาว ไม้ผลถูกบุกรุกเป็นเนื้อที่มากที่สุด

Climate Change Mitigation using Alternate Wetting and Drying Methods to Reduce Greenhouse Gas Emissions

Yannawut Uttaruk — 2024-03-30

The problem of climate change, or better known as global warming, is becoming a major problem in the world. Carrying out project activities to reduce greenhouse gas emissions from the agricultural sector is one way to help alleviate climate change that is getting more severe every year. The objective of this research is 1) Preparing the rice fields and creating an irrigation system in the rice fields to be Alternate Wetting and Drying, 2) Compare costs before and after Alternate Wetting and Drying, 3) Compare the amount of water used before and after Alternate Wetting and Drying, 4) Compare the amount of fertilizer used before and after Alternate Wetting and Drying, 5) Compare rice production before and after Alternate Wetting and Drying and 6) Analyze the amount of greenhouse gases that can be reduced from Alternate Wetting and Drying farming under the Thailand Voluntary Emission Reduction Program (T-VER) using advanced standards (Premium T-VER). The procedures of this study were carried out according to the 6 objectives mentioned above. Results of the study of Alternate Wetting and Drying in the study area of 20 rai, located at Chao Nuea Road 5, Chiang Rak Yai Subdistrict, Sam Khok District, Pathum Thani Province. It was found that production costs decreased by 19.39 percent, water use decreased by 90 percent, fertilizer use decreased by 10 percent, production increased by 44.5 percent. This study was able to reduce greenhouse gas emissions from project activities (15 years) by 100 tons of carbon dioxide equivalent (tCO₂e), an average of 6.7 tons of carbon dioxide equivalent (tCO₂e) per year. When calculated as the amount of carbon credits from the operation area that excludes fertilizer use, it was found that there was a total of 100 tons of carbon dioxide equivalent (tCO₂e) for 15 years.

Risk Areas for Property-related Crimes in Nan Municipality, Nan Province

Suphachot Rotrungrueang — 2024-04-04

Crime is a significant problem in Thailand, leading to damages to both life and property. The highest incidence of criminal cases occurs in the Nan municipality, Nan Province, particularly in cases of theft. The objectives of this research are as follows: 1) to study the spatial distribution patterns of areas at risk for property-related crimes, 2) to analyze the patterns of relationships contributing to property-related crimes and 3) to examine the directional trends in the spatial distribution of property-related crimes. The study aimed to examine property crime incidents from the year 2018 to 2022 using Kernel Density estimation to illustrate the risk levels of property crime occurrences. Additionally, it aimed to analyze the relationship between high-risk areas and physical factors such as population density, land use, road networks, and police stations using the Getis-Ord Gi* method. Furthermore, the study investigated the trends and directions of crime distribution using the Standard Deviational Ellipse (SDE) method.

The study found that property crime incidents exhibited a dispersed pattern with varying risk levels. Areas at risk of property crimes are divided into areas with high, medium, low risk and no risk areas. which can be displayed in the colors on the map as red, orange, yellow and green, respectively. Green areas indicated low or no risk, where property crime incidents were absent. Analysis using the Getis-Ord Gi* method revealed that areas with high population density, urban areas, and secondary road networks posed higher risks for incidents. The findings of this study can be utilized to inform planning and surveillance efforts by law enforcement agencies or relevant organizations in preventing property crime occurrences.