List of Articles spatial data

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  1 - The Use of the Internet of Things Technology in Collecting Environmental Information of Agricultural Lands using Sensor Observation Service
  Nima Ghasemloo Ali Akbar Matkan Abbas Alimohammadi Hossein Aghighi babak mirbagheri
  10.30495/girs.2023.691226
  The challenges of food production in the 21st century make the employment of modern agricultural technologies increasingly vital due to population growth. The Internet of Things (IoT( is critical in changing traditional technology into modern technology, and it could he More

  The challenges of food production in the 21st century make the employment of modern agricultural technologies increasingly vital due to population growth. The Internet of Things (IoT( is critical in changing traditional technology into modern technology, and it could help smart agriculture reduce waste and increase output. The integrated use of this technology in large metropolitan or national areas is problematic since data producers employ various formats and standards to implement the IoT. One of the most challenging aspects of utilizing the IoT in agriculture is gathering the collected data and displaying it online and in a standard format. This research has examined a method for receiving information from sensors, storing it, and presenting it in a standard context utilizing IoT technology. The result of this research shows that the sensor's data and their observations can be recorded in a standard format using the standard sensor observation service from the Open Geospatial Consortium. An integrated platform is built using spatial data infrastructure. In fact, using a standard format reduces the number of services requested and the parameters associated with the sensor name, retrieval time, and sensor position. Therefore, the output of sensor observations in the spatial portal of spatial data infrastructure will be more easily accessible than methods that use only web services. The use of spatial data infrastructure makes it possible to display sensor data alongside other spatial layers. Using this method, agricultural environmental data collected using sensors are more easily provided to farmers and decision-makers instantly and online. Manuscript profile
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  2 - Evaluating and measuring the level of readiness of institutions influencing the integrated management of Tehran's peri-urban areas in the establishment of spatial data infrastructure (SDI)
  Abolhassan Modarreszadeh Barzoki Rahim Sarvar Farideh Asadian
  Tehran peri-urban areas encounter with several institutional and instrumental dispersions. Undoubtedly, spatial management requires a spatial decision support system that is dynamic and interactive. Spatial Data Infrastructure (SDI) is an effective approach in spatial i More

  Tehran peri-urban areas encounter with several institutional and instrumental dispersions. Undoubtedly, spatial management requires a spatial decision support system that is dynamic and interactive. Spatial Data Infrastructure (SDI) is an effective approach in spatial information management which has made great progress in recent years. This research, while recognition the influential institutions in the integrated management of the capital's peri-urban areas, evaluates the factors and criteria of readiness for the establishment of spatial data infrastructure. Data collection was done through interviews and questionnaires, used the SDI readiness index method. 25 selected public and government institutions were evaluated in 16 evaluation criteria and institutional readiness index and readiness index was calculated. In general, the two factors of Technology and Information, in comparison with the three factors of Organization, Human Resources and Financial, face less challenges and problems in establishing a spatial data infrastructure, but overall, no significant difference was observed between the factors. In a more detailed analysis, the criterion of private capital and return on investment are not very good compared to other criteria. Also, in this research, four institutions were found to be more ready and three institutions were less prepared than others to implement SDI. The readiness index in the peri-urban influential institutions was calculated as 0.47, which is slightly below the average. At the end, in order to remove the obstacles, suggestions were presented focused on: strengthening the private sector, increasing public awareness and managers, reforming the attitude of governance and data power and expanding the culture of information dissemination, promoting inter-institutional cooperation, focusing on data infrastructure projects instead of creating inefficient systems. Manuscript profile
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  3 - A Hybrid Geospatial Data Clustering Method for Hotspot Analysis
  Mohammad Reza Keyvanpour Mostafa Javideh Mohammad Reza Ebrahimi
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  4 - A Web-based Consolidated Geotechnical Site Investigation (CoGSI) of Sarawak Soils
  Norazzlina M.Sa’don Abdul Razak Abdul Karim Bong Chih How Linda Wong Lin Juan
  10.22094/joie.2021.1941128.1895
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