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AT76.9034 Geospatial Data Processing

AT76.9034 Geospatial Data Processing (1-0) Semester: Intersem Course Objective: This course aim to provide the fundamentals of spatial data processing and analysis, including data pre-processing, exploration of data input, visualization and manipulation, Software customization and development. It also addresses the basic of data processing using spatial databases both in database design and implementation. Learning Outcomes

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AT76.9013 Spatial Analysis Methods in GIS

AT76.9013 Spatial Analysis Methods in GIS 2 (2-0) Semester: January Rationale: This course will familiarize students with advanced topics of spatial database accuracy assessment, spatial modeling, analysis of discrete and continuous entities in space and Spatial Decision Methods. There will be special emphasis on statistical analysis of spatial data. Students will be trained to develop

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AT76.9014 Advance Application Development in GIS

AT76.9014 Advance Application Development in GIS 2(1-2) Semester: January Rationale: This course will familiarize students with spatial database development, geocoding concept, linking databases from different sources, implementing spatial analysis methods and models in advance GIS software towards developing applications. The course emphasizes a new emerging application of GIS in Health. Students will also learn customization

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AT76.01 Geographic Information Systems

AT76.01 Geographic Information Systems 3 (2-3) Semester: August / January Rationale: This course introduces principles, concepts and applications of Geographic Information Systems (GIS): a decision support tool for planners and managers of spatial information. Database development, manipulation and spatial analysis techniques for information generation will be taught. Students will have the scope of using GIS

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AT76.9021 Web GIS Technology

AT76.9021 Web GIS Technology 2 (1-3) Semester: August Rationale: This course aims at providing students with principles of Web GIS technology which is being implemented in various purposes and used as one of the most common and effective way to share geospatial data to communities. The client and server architecture of Web GIS will

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GNSS & Crowdsourcing for Geospatial Data using OSM

GNSS & Crowdsourcing for Geospatial Data using OSM Conducted by: Dr. Sarawut Ninsawat The participants learn the principle of GNSS and understand how it works. Also, they have opportunity to use GNSS receiver in AIT and analyzed the result. Furthermore, afternoon session, they will be assigned task to map the certain things in AIT and

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Geospatial Analysis using Free Open Sources Software (FOSS)

Geospatial Analysis using Free Open Sources Software (FOSS) Conducted by: Dr. Sarawut Ninsawat The participants learn about how to use free open source software (FOSS) for analyzing the Geo-spatial data. In this case, QGIS is the FOSS that used for analyzing the land suitability. The participants learn how to use the tools that GIS provided

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PyQGIS for QGIS plugins development

PyQGIS for QGIS plugins development Conducted by: Dr. Sarawut Ninsawat The participants will learn the principle and structure of QGIS class library. In this training, participants will able to develop the QGIS plugins to automate geoprocessing tasks with PyQGIS API. The fundamentals of Python programming class will be provided. The participants will start with QGIS

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FOSS4G Tools-HealthGIS 2015-Mysore,India

FOSS4G Tools for Participatory Field Data Aggregation Instructor:  Mr. V.Ravi Kumar, and Prof. Venkatesh Raghavan Requirement: No special requirements. If you come with your Android devices,  you would be able to install the applications and use them for your field data collection in the future. Level: Beginner Level Contents: The workshop will give a brief introduction to FOSS4G tools

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