. "Spatial databases"@en . . "10" . "This module delivers an introduction to databases which culminates in a broader treatment of spatial databases. Spatial databases are databases specifically design to manage spatial or geographical data. The module provides an introduction to Structured Query Language (SQL) where no previous experience of SQL or databases is assumed. The module will provide students with a broad understanding of the challenges of working with spatial data and other types of spatially-related information. Using a relational database approach the module considers several key aspects of spatial data science or spatial analysis including:\r\n• relational database models for spatial data;\r\n• spatial data structures; spatial data integrity; spatial data manipulation;\r\n• spatial algorithms used in Geographic Information Systems (GIS);\r\n• spatial analysis techniques including statistical approaches for spatially-informed decision making;\r\n• spatial data visualisation using GIS;\r\n• spatial data formats (PostgreSQL PostGIS database, GeoJSON, ESRI Shapefiles, CSV);\r\n• alternative database models for geospatial data.\r\n\r\nThe course offers students an introduction into spatial and non-spatial SQL with treatments of modern topics in SQL such as Window Functions, query optimization, and so on included. Working with NoSQL and unstructured sources of geospatial data are also discussed.\r\n\r\nThe course offers a mixture of laboratory-based course work and an individual portfolio project which combines SQL and GIS.\n\nOutcome:\r\nOn successful completion of the module, students should be able to:\r\nDesign and implement spatial databases using standard models and spatial database management systems. Query spatial databases using standard query tools and languages\r\nUse Geographical Information Systems (GIS) to analyse and visualise spatial data\r\nCreate interfaces to view and customise, interact with spatial data\r\nDesign and implement spatial indices for efficient searching of data\r\nPerform spatial analysis on large spatial databases and datasets\r\nEnsure reliability, security, integrity and privacy in spatial databases\r\nUnderstand NoSQL model approaches such as key-value stores, document databases, etc\r\nUnderstand the challenges and most effective approaches to working with large databases of spatial data." . . "Presential"@en . "FALSE" . . "Geospatial Data Architecture And Management"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Master of Geograp Information Systems (GIS) & Remote Sensing"@en . . "https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/courses/msc-geograpinformation-systems-remote-sensing" . "90"^^ . "Presential"@en . "Given the wider development of Citizen GIS and an increased public awareness and knowledge of the power and value of spatial data, vastly increased amounts of such data from different sources are now available to researchers. However, in order to turn these data into useful information, they must be efficiently managed, processed and analysed before being displayed in a comprehensible format. Geographical Information Systems and the associated field of Remote Sensing greatly aid us in such tasks. The course is equally split between both parts - GIS and Remote Sensing - with four core module introducing the theory and practice of both subject at an introductory and advanced level. Geographical Information Systems or GIS as they are better known, are widely used in a wide variety of subject fields across the physical and social sciences and even in the humanities, with applicability in everything from archaeology and astronomy to geomorphology and globalisation to soil science and social planning. Remote Sensing – the analysis and interpretation of aerial and satellite imagery – has transformed the manner in which we view the Earth. The synoptic view of the Earth that it has given us has greatly improved our understanding of atmospheric and oceanic processes, sustained environmental management and the interaction of humans with the natural world. It is now a standard research tool in many fields such as geology, geography, pollution control, agriculture and climatology. Additional optional modules in Programming, Spatial Databases and Marine Remote Sensing are also available to students who want to develop the technical side more fully, though the course has a strong applied flavour throughout. In addition, all students complete a work placement in the summer months which allows them to gain valuable practical experience to test and develop the skills learnt across the course.\r\n\r\nAims of the Course\r\n\r\n- To provide highly qualified, motivated graduates who have been trained in Geographical Information Systems, Remote Sensing and Digital Image Processing and who can apply the information technology skills they obtain.\r\n\r\n- To produce marketable graduates who will make significant contributions to GIS and RS application areas including; industry, government, academia, the community and voluntary sector and other public and private bodies.\r\n\r\n- To provide an understanding of Geographical Information Systems and Remote Sensing, the technology involved and its applications for specific investigations."@en . . . . "1"@en . "FALSE" . . "Master"@en . "None" . "6500.00" . "Euro"@en . "6500.00" . "Mandatory" . "The MSc in GIS and Remote Sensing is first and foremost a course to skill students for work in a wide range of employment areas. These include a wide range of government and semi-state agencies, local authorities and the voluntary sector, especially in areas associated with the environment and planning. In addition, graduates have worked in a wide range of private sector organisations and businesses, where the ability to work with and critically managed big spatial data is increasingly valued. Successful students have also proceeded to PhD level research and gained employment in academia."@en . "no data" . "TRUE" . "Downstream"@en . . . . . . . . . .