Field Data Collecting, Processing and Sharing: Using web Service TechnologiesNiroshan Sanjaya
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Collecting, Distributing and Analyzing field data is a crucial part in any geospatial study. Field data collection tools and methods have been developed significantly due to the advancement of technologies such as Global Navigational Satellite Systems (GNSS) and development of smartphones. Accurate field data collection is also a necessary task for broad spatial data analysis and proper decision making. Development of Web technologies led to share the data and information effectively. This study tries to develop a framework based on the Geospatial Semantic Web technologies for disseminating and processing field data. Experimental results from an implemented prototype show that the proposed framework allows to visualize and process the field data in any context. The system of this study is capable of distributing and processing field data using web application. Moreover, the study demonstrates the importance and the capabilities of web services for spatial data gathering and processing. The system has been developed based on Free and Open Source Software (FOSS) packages such as ZOO-Project, Open Data Kit, etc. It enables user to further improve or deploy the system for variety of studies.
- The document describes Yoichi Kayama's work extending spatial data functionality to the CKAN open data platform to support the Japanese government's open data and spatial information initiatives.
- Key extensions to CKAN implemented include improving the spatial resource preview function, adding spatial data processing tools using GDAL/OGR, overlay mapping of multiple spatial resources, and enabling purchase of spatial data products from private companies through the system.
- Future plans include public launch of the system in November along with incorporating paid data from private sector vendors.
Field Data Collecting, Processing and Sharing: Using web Service TechnologiesNiroshan Sanjaya
?
Collecting, Distributing and Analyzing field data is a crucial part in any geospatial study. Field data collection tools and methods have been developed significantly due to the advancement of technologies such as Global Navigational Satellite Systems (GNSS) and development of smartphones. Accurate field data collection is also a necessary task for broad spatial data analysis and proper decision making. Development of Web technologies led to share the data and information effectively. This study tries to develop a framework based on the Geospatial Semantic Web technologies for disseminating and processing field data. Experimental results from an implemented prototype show that the proposed framework allows to visualize and process the field data in any context. The system of this study is capable of distributing and processing field data using web application. Moreover, the study demonstrates the importance and the capabilities of web services for spatial data gathering and processing. The system has been developed based on Free and Open Source Software (FOSS) packages such as ZOO-Project, Open Data Kit, etc. It enables user to further improve or deploy the system for variety of studies.
- The document describes Yoichi Kayama's work extending spatial data functionality to the CKAN open data platform to support the Japanese government's open data and spatial information initiatives.
- Key extensions to CKAN implemented include improving the spatial resource preview function, adding spatial data processing tools using GDAL/OGR, overlay mapping of multiple spatial resources, and enabling purchase of spatial data products from private companies through the system.
- Future plans include public launch of the system in November along with incorporating paid data from private sector vendors.