. "Geographic Information System"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Research topics in geographic information science"@en . . "7.5" . "Βuilds on the knowledge acquired in the course \"Theory of Geoinformatics\" of the previous semester. The main purpose of the course is to introduce graduate students to the research process and methodology, as well as to the most current research issues in the field of Geographic Information Science (GIScience researc" . . "Presential"@en . "FALSE" . . "Principles of gis"@en . . "5" . "An introduction to the principles and practice of Geographic Information Systems.\n\nOutcome:\nHaving completed this course, students will be able to:\r\n\r\n■ Explain the principles of GIS as a combination of geospatial data input, processing, output and personnel subsystems;\r\n\r\n■ explain the requirements for co-ordinate reference systems in GIS and apply them within a GIS;\r\n\r\n■ describe and critically assess the use of vector and raster representations of real world objects and how to convert between them;\r\n\r\n■ describe and critically assess the use of analytical tools within GIS including overlay, buffer, network, and terrain analysis and how they are applied in the ArcGIS (or equivalent) environment;\r\n\r\n■ explain the nature of geospatial databases and discuss their design and implementation;\r\n\r\n■ solve application problems in GIS, including access to on-line help files;\r\n\r\n■ produce effective maps and reports based on output of GIS processes;\r\n\r\n■ apply acquired GIS skills to a range of applications." . . "Presential"@en . "TRUE" . . "Applied gis"@en . . "5" . "Further experience in the use of GIS for applications, including development of tools and interfaces within GIS and a 3-day field course.\n\nOutcome:\nHaving completed this course students will be able to:\r\n\r\n■ Use OpenSource GIS and related tools;\r\n\r\n■ Develop simple programmes, tools and user interfaces within a GIS environment;\r\n\r\n■ Carry out an applied GIS project with minimal supervision; \r\nWrite reports on applied GIS analysis;\r\n\r\n■ Work within a group to solve a problem requiring use of GIS within a limited time frame." . . "Presential"@en . "FALSE" . . "Introduction to geographical information systems and science"@en . . "20" . "This module introduces students to the fundamental concepts, techniques and ideas that shape GI Science and the associated GIS Software. The module will be taught as a mix of lectures and intensive practicals. The lecture series will introduce key concepts and analytical approaches used within GI Science including; the foundations of GIS, spatial data models, data input and output, core spatial modelling and specialist analytical approaches and techniques. The practicals will be based around the core ArcGIS Pro software programme. The module will familiarise students with the software through a series of cumulative practical exercises based on a series of GIS applications from a range of subjects including geography, environmental modelling and planning. Students will also gain experience of manipulating and understanding a range of digital spatial data in the course of this module.\n\nOutcome:\nOn successful completion of the module, students should be able to:\r\nDefine key concepts and analytical approaches used within GI Science.\r\nRecognise the operating environments of GIS packages including ArcGIS and MapInfo.\r\nDemonstrate practical skills in the use of GIS packages.\r\nManipulate and display vector and raster digital data.\r\nManipulate, prepare and structure raw spatial data for use within GIS.\r\nCarry out a range of spatial data analyses in both vector and raster modeling environments." . . "Presential"@en . "TRUE" . . "Geographical information science in practice"@en . . "20" . "This module aims to introduce students to a range of applications that shape the current state-of the art in professional GI Science (GISc) and to show how various elements of GISc can be brought together to solve real-world problems. The module will be taught as a mix of lectures, practicals, workshops and employer visits. This module is intended to extend the theoretical aspects of GISc into practice by taking a problem-oriented approach, incorporating some group-work. The module will include introductions to the design and use of Web-GIS, web apps and Critical GIS. In addition contemporary applications in a range of subject areas will emphasise how geospatial data knowledge shapes society today. A final strand will incorporate a visitor programme from industry professionals to prepare students for work placements and contemporary directions in the GI Science industry. There will also be a significant independent project component to encourage students to engage with contemporary applications in Web-GIS data and technologies to develop their own ideas and knowledge.\n\nOutcome:\r\nOn successful completion of the module, students should be able to:\r\nIdentify a range of contemporary GI Science applications within the GI industry\r\nCritically appreciate the relationship between software, data, and solving problems\r\nManipulate and display spatial information within Web-GIS environments\r\nRecognise the application of GI science and geospatial data in a range of social, business and technical settings." . . "Presential"@en . "TRUE" . . "Principles of gis"@en . . "5" . "Short Description\nAn introduction to the principles and practice of Geographic Information Systems.\nLearning Outcomes of Course\nHaving completed this course, students will be able to:\n\n■ Explain the principles of GIS as a combination of geospatial data input, processing, output and personnel subsystems;\n\n■ explain the requirements for co-ordinate reference systems in GIS and apply them within a GIS;\n\n■ describe and critically assess the use of vector and raster representations of real world objects and how to convert between them;\n\n■ describe and critically assess the use of analytical tools within GIS including overlay, buffer, network, and terrain analysis and how they are applied in the ArcGIS (or equivalent) environment;\n\n■ explain the nature of geospatial databases and discuss their design and implementation;\n\n■ solve application problems in GIS, including access to on-line help files;\n\n■ produce effective maps and reports based on output of GIS processes;\n\n■ apply acquired GIS skills to a range of applications." . . "Presential"@en . "TRUE" . . "Applied gis"@en . . "5" . "Short Description\nFurther experience in the use of GIS for applications, including development of tools and interfaces within GIS and a 3-day field course.\nLearning Outcomes of Course\nHaving completed this course students will be able to:\n\n■ Use OpenSource GIS and related tools;\n\n■ Develop simple programmes, tools and user interfaces within a GIS environment;\n\n■ Carry out an applied GIS project with minimal supervision; \nWrite reports on applied GIS analysis;\n\n■ Work within a group to solve a problem requiring use of GIS within a limited time frame." . . "Presential"@en . "TRUE" . . "Lectures in giscience"@en . . "2" . "no data" . . "Presential"@en . "TRUE" . . "Analysis and modeling in the geospatial information"@en . . "15" . "Students will be able to develop a priori theories based on a problem analysis,\npossibly substantiated by literature that describes/explains the problem. The ones there\nto adapt the analysis and modeling methods to be used to the question and independently\n(or in a team). You can develop or expand methods that implement\nof the data into those information structures that are in the individual application areas\nto be needed. In this way, the students should be able to\nCarrying out network analyzes or spatial marketing issues in the GI world\nto abstract, as well as to understand fuzzy set theory and in GIS applications\nuse or to carry out image processing methods with remote sensing data. Pre-condition\nIn addition to the theoretical basics, this requires practical knowledge of evaluation methods. The\nThe aim of the module is therefore to impart practical knowledge of software-based\nEvaluation of geodata." . . "Presential"@en . "TRUE" . . "Science of geographical information: remote sensing and gis"@en . . "15.00" . "Objectives and Contextualisation\nThis module aims to create an introductory, broad and specific framework at the same time, to the science and technology of geographic information, focusing on key concepts both of aspects of classical cartography and global positioning, as well as aspects related to remote perception and the use of Geographic Information Systems.\n\nAt the end of the course, the student will be able to:\n\nUnderstand the main functions of different programs used in GIS and Remote Sensing.\nProperly use different data and metadata formats.\nDominate the fundamental concepts of the various disciplines related to the position and representation of elements in space, such as photogrammetry, remote sensing or global positioning systems.\nProperly represent a geographical reality in a digital or analogical cartographic document.\nMaking informed decisions about the use of remote sensing in territorial studies.\nDiscriminate between different types of platforms and sensors according to their characteristics and to know how to choose the appropriate ones according to the objectives of the study to be carried out.\nContent\nPLATFORMS AND SENSORS\n\n1. Platforms: Aircraft.\n2. Platforms: Unmanned Aircraft.\n 2.1. Key points of regulation.\n 2.2. Classification.\n3. Platforms: satellites.\n 3.1. Subsystems satellite.\n 3.2. Launching.\n 3.3. Spatial Orbits.\n 3.4. Orbital maneuvers.\n 3.5. Segment Earth.\n4. Sensors.\n 4.1. Telescopes.\n 4.2. Lidar.\n 4.3. Microwave radiometers and radar.\n 4.3.1. Microwave Remote Sensing.\n 4.3.2. SAR: Synthetic Aperture Radar.\n 4.3.3. Geometry and spatial resolution SAR.\n 4.3.4. \"Performance\" SAR.\n 4.3.5. SAR acquisition modes.\n 4.3.6. Systems airborne and satellite-SAR.\n 4.3.7. Interferometric applications.\n5. Characterization of an instrument/Remote Sensing missions.\n 5.1. Spatial characterization (geometric).\n 5.2. Spectral characterization.\n 5.3. Radiometric Characterization.\n 5.4. Temporal characterization.\n\nPRINCIPLES OF CARTOGRAPHY\n\n1. History of cartographic representation.\n2. Geodesy.\n3. Cartographic projections.\n4. The UTM reference system.\n5. Cartographic products: the maps.\n6. Topographic and thematic mapping.\n\nGEODESY AND POSITIONING SYSTEMS\n\n1. Geodesy and Cartography.\n2. Nomenclature: what is GNSS; other systems besides the GPS.\n3. Introduction to the systems of global positioning and historical development.\n4. Fundamentals of the system.\n 4.1. Sectors or segments.\n 4.2. Basic measures. Code and phase.\n5. Methods of operation.\n6. Type of receivers.\n7. Accuracy.\n8. Applications.\n\nFUNDAMENTALS OF GIS\n\n1. Introduction.\n 1.1. Definition of GIS.\n 1.2. Geographical information and GIS.\n 1.3.Connections and differences between GIS and other systems.\n 1.4. GIS Applications.\n 1.5. Introduction to ArcGIS and MiraMon software.\n2. Models of data.\n 2.1. Raster model.\n 2.2. Vector model.\n 2.3. Topological structure.\n 2.4. Attributes, tables and validation.\n 2.5. Model of observations and measures.\n 2.6. Formats: import and export. CAD model.\n3. Production of data.\n 3.1. Data entry.\n 3.2. Validation and errors.\n4. Data processing.\n 4.1. Classification and reclassification.\n 4.2. Raster transformations - vector: rasterization and vectorization.\n 4.3. Cartographic generalization.\n5. Introduction to the GIS analysis.\n 5.1. Arithmetic and logic operations between layers.\n 5.2. Analytical combinations of layers.\n\nCOMPOSITION AND IMPRESSION OF CARTOGRAPHIC DOCUMENTS\n\nPractical contents based on the use of different software to obtain cartography on paper. It will deal with formal issues of the composition as well as advice aimed at obtaining intelligent impressions and faithful to the reality that one wants to represent.\n\nSYNOPTICAL VIEW OF REMOTE SENSING\n\n1. Introduction. Overview of remote sensing.\n 1.1. Definition.\n 1.2. What tools do we have?\n 1.3. What is intended?\n 1.4. Type of platforms: aerial and satellite, heliosynchronous and geostationary.\n 1.5. Types of sensors according to the way of obtaining the data, the type of information recorded, the spectral region to which they are sensitive, etc.\n 1.6. Typical image processing chain (corrections, improvements, extraction of image information, etc.).\n 1.7. Basics: pixel; space, spectral, radiometric, temporal and angular resolutions; grayscale and palette images, true color and false color renderings.\n 1.8. Visual analysis versus digital processing.\n 1.9. Satellite remote sensing versus aeroported remote sensing and UAV.\n 1.10. Important characteristics and limitations of remote sensing.\n 1.11. Brief history of remote sensing. Remote sensing in Spain and internationally: associations, congresses, publications.\n 1.12. Comment of the recommended bibliography and the main journals.\n2. Electromagnetic spectrum and spectral signatures.\n 2.1. Basic concepts.\n 2.2. Solar radiation; thermal radiation emitted by the Earth; microwave.\n 2.3. Spectral signatures.\n3. Nature of images. Corrections, improvements, transformations.\n 3.1. Nature of the images.\n 3.2. Most common formats in remote sensing.\n 3.3. Geometric corrections.\n 3.4. Radiometric corrections.\n 3.5. Image enhancement.\n 3.6. Transformations: Vegetation indexes, main components, etc.\n4. The interpretation of satellite imagery.\n5. Obtaining information from the images.\n 5.1. Supervised classification.\n 5.2. Unsupervised classification.\n 5.3. Mixedclassification.\n 5.4. Estimation of continuous variables.\n 5.5. Verification of results.\n6. Remote sensing, mapping and geographic information systems.\n\nPHOTOGRAMETRY\n\n1. Fundamentals of photogrammetry.\n 1.1. Introduction.\n 1.2. Air photogrammetry.\n 1.3. Measures on photographs and corrections.\n 1.4. Vertical photography.\n 1.5. Stereoscopic vision.\n 1.6. Stereoscopic parallax.\n 1.7. Rectification.\n 1.8. Restitution.\n2. Topographical photogrammetry.\n 2.1. Phases of a topographic uprising.\n 2.2. Classification of photogrammetric surveys.\n 2.3. Photographic scale.\n 2.4. Planning of work. Flight projects Plan and flight execution.\n 2.5. Post-photogrammetric flight operations (restoration, rectification, generation of digital terrain models, etc.).\n 2.6. Orthophotography versus Rectification.\n\nCompetences\nApply knowledge of remote sensing platforms and sensors to analysing and processing data in different types of studies.\nChoose the most suitable tools and applications to fulfil the objectives of a project in the field of spatial planning or analysis.\nCommunicate and justify conclusions clearly and unambiguously to both specialist and non-specialist audiences.\nContinue the learning process, to a large extent autonomously.\nDesign and apply a methodology, based on the knowledge acquired, for studying a particular use case.\nTake a holistic approach to problems, offering innovative solutions and taking appropriate decisions based on knowledge and judgement.\nUse acquired knowledge as a basis for originality in the application of ideas, often in a research context.\nUse different specialised GIS and remote sensing software, and other related software.\nLearning Outcomes\nCommunicate and justify conclusions clearly and unambiguously to both specialist and non-specialist audiences.\nContinue the learning process, to a large extent autonomously.\nDesign and apply a methodology, based on the knowledge acquired, for studying a particular use case.\nDifferentiate between different types of platforms and sensors based on their characteristics and choose ones that are suited to the aims of the study to be performed.\nHandle different data and metadata formats appropriately.\nMaster the fundamental concepts of the various disciplines related to the position and representation of elements in space, such as photogrammetry, remote sensing and global positioning systems.\nRepresent a real geographic area appropriately in a digital or analogue cartographic document.\nTake a holistic approach to problems, offering innovative solutions and taking appropriate decisions based on knowledge and judgement.\nTake informed decisions on the use of remote sensing in land-use studies.\nUnderstand the main functions of different programmes used in GIS and remote sensing.\nUse acquired knowledge as a basis for originality in the application of ideas, often in a research context." . . "Presential"@en . "TRUE" . . "Methods for obtaining geographical information"@en . . "6.00" . "Objectives and Contextualisation\nAt the end of the course, the student will be able to:\n\nBasic aspects of digitization and advanced aspects of topological structuring, as well as modeling tools, obtaining thematic cartography and quantification of the reliability of the products obtained.\nProper use of the statistical concepts that underpin the automatic classification of multivariate data, and in particular those provided by satellite images as well as the most appropriate criteria for the visual interpretation of remote sensor images.\n\n\n\nContent\nPHOTOINTERPRETATION\n\nVisual techniques for identifying land uses and land covers.\nRecognition of different types of land uses and land covers.\nPhotointerpretation: Main applications in the study of the natural and artificial environment.\nInterpretation of multispectral images.\nCartography of support for photointerpretation.\nSTATISTICAL METHODS\n\nIntroduction to multivariate data. Characterization of distributions. Normality test. Correlation. Implications in Remote Sensing. Standardization. Principal Component Analysis.\nStatistical distances between individuals, populations and between individuals and populations. Implications of the scaling of the variables. Divergence measures.\nObtaining new information (multitemporality, collateral data, indexes and transformations). Information reduction from the samples and from the variables. Introduction to obtaining continuous variables and categorical variables: linear and non-linear, simple and multiple regression, classification, etc.\nMultiple regression applied to the interpolation of climatic surfaces.\nGeneralized linear models applied to obtaining suitability surfaces based on the ecological niche modelling.\nHierarchical and non-hierarchical classification. Supervised, unsupervised and hybrid classification; fuzzy classification.\nSegmentation of images. Scales and scene models. Processing methods that take spatial information into account. Segmentation methods. Classification by segments.\nNeural networks.\nGeneralization of results in categorical cartography. Direct methods and smart methods.\nVerification of results in binary cartography. Sampling.\nVerification of results in categorical cartography. Sampling.\n\nCompetences\nContinue the learning process, to a large extent autonomously.\nIdentify and propose innovative, competitive applications based on the knowledge acquired.\nIntegrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.\nUse acquired knowledge as a basis for originality in the application of ideas, often in a research context.\nUse different specialised GIS and remote sensing software, and other related software.\nUse the different techniques for obtaining information from remote images.\nWrite up and publicly present work done individually or in a team in a scientific, professional context.\nLearning Outcomes\nContinue the learning process, to a large extent autonomously.\nIdentify and propose innovative, competitive applications based on the knowledge acquired.\nIntegrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.\nShow expertise in using digitalisation and topological structuring tools, modelling tools, and tools for supervised, unsupervised and mixed image classification.\nUse acquired knowledge as a basis for originality in the application of ideas, often in a research context.\nWork with the statistical concepts underpinning the automatic classification of satellite images, and the most suitable criteria for visually interpreting remote images.\nWrite up and publicly present work done individually or in a team in a scientific, professional context." . . "Presential"@en . "TRUE" . . "Spatial data aquisition methods"@en . . "no data" . "no data" . . "Presential"@en . "TRUE" . . "Geo-information tools"@en . . "no data" . "N.A." . . "Presential"@en . "TRUE" . . "Spatial-social data sources"@en . . "no data" . "no data" . . "Presential"@en . "TRUE" . . "Dedicated geospatial information systems"@en . . "no data" . "no data" . . "Presential"@en . "FALSE" . . "Geographic information systems for geosciences"@en . . "6" . "no data" . . "Presential"@en . "TRUE" . . "Geographic information systems for geosciences"@en . . "6" . "no data" . . "Presential"@en . "TRUE" . . "Geographic information systems"@en . . "4" . "The study course is intended for mastering the theoretical basis and practical application of one of the subfields of geomatics – Geographical Information Systems (GIS). The course provides knowledge about GIS, its principles and the latest achievements. The aim of the study course is to ensure a systematic acquisition of competencies on the methods of Geographic Information Systems and their use. Tasks of the study course are: (1) to promote integration of natural science knowledge and information technology competencies; (2) to create scientific and applied understanding of Geographic Information Systems, their application and modern development directions. Language of instruction: Latvian and English\nResults Knowledge: 1. Understands history of development of Geographical Information Systems and future trends; 2. Knows different approaches to building Geographic Information Systems, their role in information acquisition, processing, display and publishing; 3. Understands principles of modelling the surrounding world with vector data and raster data models; 4. Knows the most popular vector data and raster data analysis methods; 5. Describes advantages and disadvantages of the most popular data interpolation methods; 6. Understands the importance of geospatial autocorrelation and knows its evaluation methods; 7. Knows the basic principles for exchange of geospatial data on the Internet; 8. Understands the causes of data and analysis errors, the most frequently used error estimation methods; 9. Understands problems related to the choice of hardware; 10. Is familiar with problems of successful GIS project implementation; Skills: 11. Makes maps in ArcGIS program; 12. Creates new vector data layers in ArcGIS; 13. Georeferences raster data in ArcGIS; 14. Uses simple vector data selection and analysis methods in ArcGIS; 15. Creates and visualizes terrain models from vector data in ArcGIS; 16. Produces maps in QGIS program; Competences: 17. Integrates geospatial data of various formats from local and Internet sources; 18. Solves geographic problems with GIS data analysis tools; 19. Communicates the results of data analysis with appropriate data visualization methods; 20. Independently organizes his / her work in the use of GIS for the performance of his / her work duties." . . "Presential"@en . "TRUE" . . "Applied gis II (human and society)"@en . . "4" . "The course builds an understanding on the fundamentals of scientific research on the use of GIS in human geography. Study objectives include the integration of natural science and information technology competence, and the generation of scientific and practical comprehension of the use of GIS in the research of human geography sub-disciplines. In order to successfully complete the course, student must submit and pass all practical assignments and the final exam. The course aims at providing students with basic understanding of the use of GIS in scientific research in human geography. The objectives of course are to (1) facilitate the integration of natural science and information technology competence; (2) generate scientific and practical comprehension about the use of GIS in the research of human geography and its sub-disciplines Language of instruction: Latvian and English\r\nCourse responsible lecturer\tZaiga Krišjāne\r\nResults\tKnowledge 1. to understand the possibilities of the use of GIS-based software in relation to human geography research (e.g. data collecting, variability of GIS methods and their limitations). Skills 2. to use GIS in the main sub-disciplines of human geography by collecting and editing necessary and most suitable spatial and statistical data; choosing methods that are the most compatible and appropriate in order to efficiently analyse and interpret research results. Competences 3. to identify the necessary data, their acquisition possibilities and compatibility with chosen research methods, and to use in research work 4. to analyse and interpret research results obtained from their chosen data and methods." . . "Presential"@en . "FALSE" . . "Geographic information infrastructure"@en . . "2" . "The aim of the study course is to master the scientific bases of the development of geographic information infrastructure, to know the aspects of application and methods of application of modern geographic information systems (hereinafter GIS) methods and technologies; to acquire basic knowledge of GIS infrastructure development. Familiarize yourself with Directive 2007/2 / EC of the European Parliament and of the Council Of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE) and its results. Ability to use INSPIRE data and services The task of the study course: 1. to get acquainted with the sequence of work to be performed in the development of the institution's GIS infrastructure 2. to teach to use the available GIS infrastructure design tools. Language of instruction: Latvian and English\r\nCourse responsible lecturer\tZaiga Krišjāne\r\nResults\tKnowledge: 1. Identify the necessary geospatial data and their sources, 2. Evaluate the quality of geospatial data, 3. Identify geospatial data recovery options, 4. To ensure the acquisition of geospatial data, 5. To perform alignment and arrangement of geospatial data. Skills: 6. Assess geospatial data requirements 7. Assess the required geospatial data coverage, 8. Identify possible sources of geospatial data, 9. Check the availability and limitations of geospatial data, 10. Describe the data recovery policy for data sources, 11. Evaluate data recovery alternatives 12. Cooperate with geospatial data holders and producers, 13. To develop proposals for the creation and development of geospatial data infrastructure, 14. To apply the regulatory enactments regulating the field of geoinformatics. Competence: 15. Works with geospatial data sources, 16. Works with professional GIS software and applications, 17. Works with ICT components and understand their basic functionality, operating principles to ensure the operation of GIS software, 18. Develops and manages geospatial solution projects, plans works and resources, 19. Systematically supplement their professional knowledge, 20. Puts ideas and knowledge into practice, 21. Carries out applied research, prepare publications and present them." . . "Presential"@en . "FALSE" . . "Designing geographic information systems"@en . . "3" . "Methodology of designing IT systems. Tools and tech\u0002niques for the implementation of geographic information systems. Methodologies and software for managing IT projects." . . "Presential"@en . "TRUE" . . "Managing geographic information projects"@en . . "5" . "Managing projects related to SIP/GIS. Theoretical basis and basic practical skills related to the methods and tools that support the management of IT projects. Man\u0002aging geo-information projects taking into consideration the needs and legal regulations concerning geodesy and cartography." . . "Presential"@en . "FALSE" . . "Giscience: theory and concepts"@en . . "4" . "Participants in this module can describe the highly dynamic nature of the evolving field of Geographic Information Science or GIScience in short. Students can work scientifically in the broader field of GIScience and communicate in an interdisciplinary manner with other fields based upon generic scientific as well as GIScience-specific skills and competencies. Students acquire competences both in GIScience thory including its epistemology and in Geoinformatics applications fields. They are able to use theory in application contexts. Geospatial technologies support a wide variety of uses in society. Students can evaluate technological and scientific trends and whether they may provide opportunity or threats for our society." . . "Presential"@en . "TRUE" . . "Geographic information systems (gis)"@en . . "3" . "Present the methods and tools associated with the spatial analysis of the processes and phenomena involved in the management of natural resources and the control of the impacts of human activities on these resources.\n12 hours of CM are dedicated to basic notions and concepts to optimize the use of GIS and remote sensing. The strengths and limitations of these methods and tools are illustrated in the context of environmental issues (urbanization, water pollution, flooding, erosion, etc.).\n12 hours of tutorials are dedicated to the practice of GIS with ArcGIS software." . . "Presential"@en . "TRUE" . . "Extraction, analysis and dissemination of geospatial information"@en . . "7" . "no data" . . "Presential"@en . "TRUE" . . "3d modelling for city digital twins based on geospatial information"@en . . "5" . "no data" . . "Presential"@en . "FALSE" . . "Modelling and handling of geographic information"@en . . "3" . "no data" . . "Presential"@en . "TRUE" . . "Gis programming"@en . . "2" . "no data" . . "Presential"@en . "TRUE" . . "Geographic information system 1 (3 ects)"@en . . "3" . "no data" . . "Presential"@en . "TRUE" . . "Geographic information system (2 ects)"@en . . "2" . "no data" . . "Presential"@en . "TRUE" . . "Geographic information systems"@en . . "5" . "Not found" . . "Presential"@en . "TRUE" . . "Geographic information systems"@en . . "6.0" . "### Working language\n\nPortuguês - Suitable for English-speaking students\n_Note: Portuguese_\n\n### Goals\n\nNecessary theoretical bases for students to deal with representations of cartographic data in a computational environment and for the use and implementation of a GIS.\n\n### Learning outcomes and skills\n\nStudents should know the differences between raster and vector data models, and the advantages and disadvantages of each model. They should also know how to analyze GIS data from simple and spatial searches.\n\n### Working mode\n\nIn person\n\n### Program\n\n1\\. Principles and fundamentals of Geographic Information Systems.\ntwo\\. Vector data: acquisition, manipulation and analysis operations with environmental data.\n3\\. Open Source GIS Software. Some examples of applications.\n4\\. Geographic databases.\n5\\. Raster data: acquisition, manipulation and analysis operations with environmental data.\n6\\. Three-dimensional terrain analysis: digital terrain models.\n7\\. Examples of GIS applications.\n8\\. Principles of geostatistics.\n\n### Mandatory Bibliography\n\nLongley Paul A.070; [Geographic information systems and science](http://catalogo.up.pt/F/-?func=find-b&local_base=FCUP&find_code=SYS&request=000279522 \"Geographic information systems and science (Opens in a new window)\"). ISBN: 9780470870013\n\n### Teaching methods and learning activities\n\nSome TP classes of the curricular unit are of a more theoretical nature and others of a more practical nature, with the performance of various exercises in GIS software. In the “Other” classes, doubts will be answered about the various topics of the program and support will be given to carrying out practical computational work.\nThe teaching means include the audiovisual material for the presentation of the classes as well as the various GIS software (proprietary and open source).\n\n### Software\n\nQGIS\nArcGIS\n\n### Type of evaluation\n\nDistributed evaluation with final exam\n\n### Assessment Components\n\nExam: 60.00%\nLaboratory work: 40.00%\n\n**Total:**: 100.00%\n\n### Occupation Components\n\nFrequency of classes: 50.00 hours\nLaboratory work: 50.00 hours\n\n**Total:**: 100.00 hours\n\n### Get Frequency\n\nAttendance in 75% of classes.\n\n### Final classification calculation formula\n\nThe evaluation will be carried out through a practical evaluation in a computational environment (corresponds to 40% of the final classification) and a final written exam. Students must have a minimum of 8 values in each of the assessment components. The classification of the subject has a weight of 60% for the written exam (T) and 40% for the practical evaluation (P).\nThe final classification will be: CF=T \\*0.6 + P\\*0.4.\n\nMore information at: https://sigarra.up.pt/fcup/pt/ucurr_geral.ficha_uc_view?pv_ocorrencia_id=479405" . . "Presential"@en . "TRUE" . . "Principles of gis"@en . . "15.0" . "EGM711 – Principles of GIS (15 credits) – this module runs in weeks 1-6 of semester 1 and is a compulsory module.\n\nThis module introduces the theory and practice of Geographic Information Systems, and is intended to provide an understanding of the breadth of potential GIS applications and to equip students with the key concepts and skills required relating to the input, management, manipulation, analysis and output of spatial data. Lecture-based teaching of key concepts is reinforced by linked practical exercises which allow students to develop competence in ESRI's ArcGIS package. The module assumes no prior knowledge or experience of GIS." . . "Presential"@en . "TRUE" . . "Geographical information systems and remote sensing technologies"@en . . "20.0" . "Not provided" . . "Presential"@en . "TRUE" . . "Geographical information systems"@en . . "20.0" . "Prohibited Combinations\nYou may not take this module if you have previously passed:\nGeographical Information Systems (GEOU9IS)\nModule Description\nGeographic Information Systems (GIS) are the methods and tools for creating, managing, analysing and visualising spatial data (i.e. data that can be tied to a specific location on the surface of the Earth). GIS is widely used in Natural and Social Sciences to understand and solve spatial questions and problems. \n\nBy explicitly considering the spatial location of events or phenomena we can often learn new relationships, patterns, and trends that are not discoverable through simple statistical methods. Being such powerful problem-solving and decision-making tools, GIS skills are highly sought by businesses, government or non-governmental bodies, and in academia. \n\nGIS is an expected and defining skill for any graduate in Geosciences, and has also become a key skill for graduates in organismal biosciences (e.g. botany, zoology, ecology, conservation) and any disciplines related to planning and management. More recently, it has also become a valuable tool for journalism and communication. \n\nThis module will introduce you to the theoretical fundamentals of GIS (GIScience) and develop your GIS analytical skills through the use of software tools. There will be supporting lectures, but most of your learning will occur through hands-on practical activities, where you will master GIS methods by solving real world problems using industry-standard software. \n\nLocation/Method of Study\nStirling\n\nModule Objectives\nLecture, demonstration, guided study\n\nLecture, demonstration, guided study\n\nLecture, demonstration, guided study\n\nLecture, demonstration, guided study\n\nAssessments and peer feddback\n\nAssessment and peer feedback\n\nAdditional Costs\nThere are no additional costs associated with this Module.\n\nCore Learning Outcomes\nOn successful completion of the module, you should be able to:\n\nunderstand spatial data and identify, distinguish and choose models for representing and storing spatial data regardless of software choice;\ncombine GIS skills and previous knowledge in Environmental Science, Environmental Geography and related areas to critically solve spatial problems;\nformulate and create cartographic visualizations that can be easily and unambiguously interpreted by non-GIS users;\nobtain, assess, and use spatial data from online and offline sources and be able to produce new spatial data using computer and field methods;\nachieve the necessary theoretical and practical proficiency to independently propose, plan, execute, and report GIS-based projects at a professional level using industry-standard software;\nsupervise, interpret and appraise GIS work produced by others.\nIntroductory Reading and Preparatory Work\nTo get a gentle introduction to GIS, we recommend the online resource below:\n\nhttps://docs.qgis.org/3.22/en/docs/gentle_gis_introduction/index.html\n\nThere are no set textbooks for this module, but ff you wish to purchase an entry-level textbook to accompany this module, one recommendation would be: Longley, P.A., Goodchild, M.F., McGuire, D.J. (2016) Geographic information systems and science. 4thEd. John Wiley & Sons, 496p. ISBN 978-1118676950. There are older editions of this textbook in the library that will serve you equally well, and any recent GIS textbook will cover all topics in the module.\n\nDelivery\nDirected Study\t16 hours\tLarge group presentation or talk on a particular topic\nDirected Study\t16 hours\tA session involving the development and practical application of a particular skill or technique\nDirected Study\t16 hours\tA session involving the demonstration of a practical technique or skill\nDirected Study\t16 hours\tPreparation for scheduled sessions, follow up work, wider reading and practice, completion of assessment tasks, revision, accessing webinars and other materials available on demand\nTotal Study Time\t200 hours\t\nAttendance Requirements\nYour engagement with learning materials and activities and your attendance at scheduled live (synchronous) sessions is extremely important. Full engagement in your studies will enable you to get the most out of the course and help you perform at your best when it comes to assessment.\n\nWe expect you to engage with all aspects of this module and with your programme of study. You should:\n\nEngage with all module materials, activities, and online timetabled teaching sessions\n\nActively participate in discussions and practical activities\n\nPrepare in advance of live sessions by undertaking the required reading and/or other forms of preparation\n\nSubmit coursework/assessments by the due time and date\n\nComplete class tests and examinations at the specified time and date\n\nMake your module co-ordinator aware at the earliest opportunity if you experience problems which may impact on your engagement\n\nInform the University of absence from study (planned or unplanned), e.g. illness, emergency as outlined at http://www.stir.ac.uk/registry/studentinformation/absence\n\nRespond to e-mails from your personal tutor, module co-ordinator or programme director and attend meetings if requested.\n\nEngage with in-sessional English language classes (if applicable)\n\nWe will monitor these aspects throughout each semester to check that you are fully participating and that you are coping well with your studies. Some activities may be prescribed, failure to engage with 2/3 of prescribed activities will result in your module grade being capped at the pass mark (40 for Undergraduate modules, 50 for Postgraduate modules.\n\nAssessment\n% of final\ngrade\tLearning\nOutcomes\nGroup (Report)\t35\t1,2,3,4,5\nCoursework\t35\t1,2,3\nReport\t30\t1,3\nPeer Review\t0\t6\nCoursework: 100%\n\nMore information at: https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=GEOU9SP&_gl=1*dojgin*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzODE1Mi4wLjAuMA.." . . "Presential"@en . "TRUE" . . "Geographical information systems (geou9sp)"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=GEOU9SP&_gl=1*18l5y8i*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTg3Ny4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Geographical information systems (geou9sp)"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=GEOU9SP&_gl=1*g5o1ly*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjA0MDA2Ni4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Geographic information systems (gis) and science"@en . . "6" . "Methods and techniques of Geographic Information Systems (GIS) and Science (GIScience) relevant to Geoinformatics and Earth Observation. Upon completion of this course, it is expected that the learner will be able to: (1) develop geodatabases within a GIS, (2) analyse spatial data within a GIS, (3) create meaningful representations for communicating data and analytical results within a GIS." . . "Presential"@en . "TRUE" . . "Principles of geoinformatics and geographical information systems (gis)"@en . . "4" . "The course introduces the students to the basic elements of Geospatial information and Geographic Information Systems (GIS). The course consists of two Parts (A & B), which progress simultaneously. Part A is designed in such way to familiarize the students with concepts of space and to provide elementary knowledge of GIS use and development, including data models, data collection, data structures, data representation and cartographic principles. Part B introduces the technical issues of GIS regarding object oriented and relational models, spatial database design, spatial analysis and decision making. During the course the students practice with GIS software, conducting a series of exercises that constitute a semester project." . . "Presential"@en . "TRUE" .