. . . . "Understand spatial data modeling and representation concepts used in geospatial problem solving (covers time, 3D, and intrinsic properties such as topology, spatial autocorrelation, etc.) "@en . . . . "Implement spatial information organization, retrieval, and maintenance tasks in the context of object-relational databases and hosted spatial data services."@en . . . . "Identify the relevance of different spatial data representation, collection, processing, and dissemination methods and tools for applications in Urban and Land Futures and Geohealth."@en . . . . "Apply basic spatial analysis methods to obtain relevant insights from a geospatial dataset"@en . . . . "Apply geospatial data dissemination and presentation principles, methods and tools (including online services) "@en . . . . . . . . . . "Spatial data (storing and retrieval of spatial data)"@en . "Fundamental Spatial Data Engineering and Innovations: LU3"@en . . . . . "Deriving information via analysis and modeling"@en . "Fundamental Spatial Data Engineering and Innovations: LU5"@en . . . . . "Relational database systems"@en . "Fundamental Spatial Data Engineering and Innovations: LU4"@en . . . . . "Representation of geographic phenomena"@en . "Fundamental Spatial Data Engineering and Innovations: LU2"@en . . . . . "Geospatial data applications, users, and society "@en . "Fundamental Spatial Data Engineering and Innovations: LU1"@en . . . . . "Advanced visualization of spatial data"@en . "Fundamental Spatial Data Engineering and Innovations: LU7"@en . . . . . "Technologies, infrastructures, and architectures "@en . "Fundamental Spatial Data Engineering and Innovations: LU6"@en . . . . . . . . . . . . . . . . . "Decision Maker/Management"@en . . . . . . . . . . . . . . . . "Natural Mapping & Management Generalist"@en . . . . . . . . . . . . . . . . . . "Geospatial Information Visualiser"@en . . . . . . . . . . . . . . . . "Data Analyst/Analysis"@en . . . . . . . . . . . . . . . . "Natural Modelling Vegetation Specialist"@en . . . . . . . . . . . . . . . . "Water and vegetation modelling and management (WRS+NRM"@en . . . . . . . . . . . . . . . . . . . "Planning for Liveable & Resilient Cities"@en . . . . . . . . . . . . . . . . . . . "Making Cities and Land SMART"@en . . . . . . . . . . . . . . . . "Modeler/Modeling"@en . . . . . . . . . . . . . . . . "Natural Monitoring Vegetation Expert"@en . . . . . . . . . . . . . . . . . . "Geospatial Data Engineer"@en . . . . . . . . . . . . . . . . . . "Remote Sensing Specialist"@en . . . . . . . . . . . . . . . . "Natural Mapping & Modelling Conservationalist"@en . . . . . . . . . . . . . . . . "Water and Health modelling and management (WRS+EOS)"@en . . . . . . . . . . . . . . . . . "Geological Remote Sensing/Earth Resources Security"@en . . . . . . . . . . . . . . . . . . "Geospatial Analyst"@en . . . . . . . . . . . . . . . . "Ocean, coastal – delta and inland water modelling and management"@en . . . . . . . . . . . . . . . . . . "3D Geoinformation Engineer"@en . . . . . . . . . . . . . . . . "Inland water resources modelling and management"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "M-GEO 5.0"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Spatial Data Science"@en . . . . . . . . . . . . . . . . . . . . . . . . . "Urban & Land Futures"@en . . . . . . . . . . . . . . . . . . . . . . . . "GeoAI"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Resources Security"@en . . . . . . . . . . . . . . . . . . . . . "Disaster Resilience"@en . "30" . "5.0" . "140.0" . "10.0" . "online" . "No"@en . "Yes"@en . "1.0" . "Geospatial problem solving for addressing societal challenges employs a wide variety of theories, methods, and tools, each applicable to a specific type or aspect of the problem solving process. All approaches, however, involve the acquisition, processing, and dissemination of data in one form or another. The Geoinformation and Earth Observation specialist must, therefore, be equipped with the necessary skills to find, use, preserve, and disseminate geospatial data. This course introduces conceptual models, analysis tools, and infrastructure for representing and analysing geographic phenomena in computer systems. The course covers both spatial and temporal aspects of the observed phenomena. Fundamental concepts of spatial representation including geometric primitives, topology, multidimensionality, spatial autocorrelation, graphs and networks, will be introduced in the context spatial data management. By the end of the course students should be able to interact with local or remote data resources using a variety of technologies including SQL and common web service APIs (e.g OGC WMS, WFS, WCS, REST). The student should therefore become familiar with common of data formats used in GIS and EO. Students will also learn to apply elementary data transformations (analysis) to obtain data in the appropriate structure for dissemination and presentation in both static and dynamic spatiotemporal visualizations. Applications in urban and land futures planning will be used in examples and exercises throughout this course. Learning units are organized so that concepts and methods from various knowledge categories are combined into a wholistic skill set that a student can use to solve a specific geoapstial problem."@en . "Fundamental Spatial Data Engineering and Innovations"@en . . "Fundamental Spatial Data Engineering and Innovations"@en . "Fundamental Spatial Data Engineering and Innovations"@en