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PORTALE DELLA DIDATTICA

Advanced GIS

01VQIQA

A.A. 2023/24

Course Language

Inglese

Course degree

Master of science-level of the Bologna process in Pianificazione Territoriale, Urbanistica E Paesaggistico-Ambientale - Torino

Course structure
Teaching Hours
Teachers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Teaching assistant
Espandi

Context
SSD CFU Activities Area context
ICAR/06 6 D - A scelta dello studente A scelta dello studente
Valutazione CPD /
2021/22
Geomatics’ techniques and tools allow to manage georeferenced spatial data and to generate added value information and can be applied in multiple application areas (environmental planning, cultural heritage, emergency management, agriculture, etc) and in response to various challenges (environmental sustainability, socio-economic resilience, socio-spatial justice and inclusion, space security, geo-marketing and cooperation development, etc.). In this context, Geographic Information Systems (GIS) play a key role, allowing to acquire data, to position them with respect to a reference coordinate system (georeferencing), to structure them effectively, to analyze them, to share them and to produce cartographic drawings. Consistent with the expected learning outcomes within the Master's Degree Course in Geography and Territorial Sciences (LM-80), this course aims to: describe advanced principles and techniques for the management and analysis of geo-referenced spatial data exploiting complex data structures such as geodatabases; demonstrate the application of these techniques in different areas through practical examples, presented during lessons, and the production of a final report by the students on a topic of their choice.
Geomatics’ techniques and tools allow to manage georeferenced spatial data and to generate added value information and can be applied in multiple application areas (environmental planning, cultural heritage, emergency management, agriculture, etc) and in response to various challenges (environmental sustainability, socio-economic resilience, socio-spatial justice and inclusion, space security, geo-marketing and cooperation development, etc.). In this context, Geographic Information Systems (GIS) play a key role, allowing to acquire data, to position them with respect to a reference coordinate system (georeferencing), to structure them effectively, to analyze them, to share them and to produce cartographic drawings. Consistent with the expected learning outcomes within the Master's Degree Course in Geography and Territorial Sciences (LM-80), this course aims to: describe advanced principles and techniques for the management and analysis of geo-referenced spatial data exploiting complex data structures such as geodatabases; demonstrate the application of these techniques in different areas through practical examples, presented during lessons, and the production of a final report by the students on a topic of their choice.
At the end of this course, the student will be able to: create, manage and use ESRI's geodatabase format and its advanced features (Feature Dataset, Mosaic Dataset, Subtype, Attribute Domain, Relationship Class, Network Dataset) apply complex Spatial Data Science techniques (e.g. data engineering, prediction models, pattern detection) communicate issues of territorial relevance in a clear and unambiguous way on original themes and including cartographic outputs
At the end of this course, the student will be able to: create, manage and use ESRI's geodatabase format and its advanced features (Feature Dataset, Mosaic Dataset, Subtype, Attribute Domain, Relationship Class, Network Dataset) apply complex Spatial Data Science techniques (e.g. data engineering, prediction models, pattern detection) communicate issues of territorial relevance in a clear and unambiguous way on original themes and including cartographic outputs
Introduction (9 hours): - list and description of the main disciplines connected to geomatics - main types of data (vector, raster) and formats (single files and data containers) - coordinate reference systems - the concepts of precision, accuracy, and nominal scale - main types of cartographic products ESRI's ArcGIS Suite (9 hours): - theoretical and practical presentation of the ESRI user interface - the layer concept and its properties The geodatabase (24 hours): - introduction to geodatabases - the geodatabase according to ESRI - Feature Dataset - Subtype - Attribute domain - Relationship Classes and comparison with joins and relates - Network Dataset with analysis examples (e.g. Route, Service Area, Closest facility, OD matrix analysis) - Raster Dataset and Mosaic Dataset Spatial Data Science methods and techniques (18 hours) - data engineering - prediction and suitability models - pattern detection models - results communication In the case of classroom training, lessons and exercises will be organized in an informatics laboratory where appropriate hardware and software will be made available to the students. In the case of distance learning, the teacher will provide hardware requirements and the possibility to install locally the required software.
Introduction (9 hours): - list and description of the main disciplines connected to geomatics - main types of data (vector, raster) and formats (single files and data containers) - coordinate reference systems - the concepts of precision, accuracy, and nominal scale - main types of cartographic products ESRI's ArcGIS Suite (9 hours): - theoretical and practical presentation of the ESRI user interface - the layer concept and its properties The geodatabase (24 hours): - introduction to geodatabases - the geodatabase according to ESRI - Feature Dataset - Subtype - Attribute domain - Relationship Classes and comparison with joins and relates - Network Dataset with analysis examples (e.g. Route, Service Area, Closest facility, OD matrix analysis) - Raster Dataset and Mosaic Dataset Spatial Data Science methods and techniques (18 hours) - data engineering - prediction and suitability models - pattern detection models - results communication In the case of classroom training, lessons and exercises will be organized in an informatics laboratory where appropriate hardware and software will be made available to the students. In the case of distance learning, the teacher will provide hardware requirements and the possibility to install locally the required software.
https://www.geografia.unito.it/do/corsi.pl/Show?_id=ha69
https://www.geografia.unito.it/do/corsi.pl/Show?_id=ha69
The teaching consists of n. 36 hours of lectures and n. 24 hours of tutorials The course will be delivered as classroom training in an informatics laboratory, allowing to efficiently mix lessons and related exercises. In case this is impossible due to existing restrictions, the course will be delivered as distance teaching, keeping the same structure. In the final report, students are required to develop a project for the use and analysis of geographical data in an area and on a theme of their choice, relevant to the educational objectives of the degree course.
The teaching consists of n. 36 hours of lectures and n. 24 hours of tutorials The course will be delivered as classroom training in an informatics laboratory, allowing to efficiently mix lessons and related exercises. In case this is impossible due to existing restrictions, the course will be delivered as distance teaching, keeping the same structure. In the final report, students are required to develop a project for the use and analysis of geographical data in an area and on a theme of their choice, relevant to the educational objectives of the degree course.
During the course, short tests will be carried out in the classroom to assess understanding of the various topics. The result of these tests will not be used in the final evaluation phase. Mario A. Gomarasca "Basics of Geomatics", 2009, Springer Dordrecht Heidelberg London New York Kenneth Field "Cartography", 2018, ESRI Press Ghilani, C. D. and P. R. Wolf "Elementary Surveying: An Introduction to Geomatics", 2014, Hall Publishers - Chapter 3 Slides provided by the teacher
During the course, short tests will be carried out in the classroom to assess understanding of the various topics. The result of these tests will not be used in the final evaluation phase. Mario A. Gomarasca "Basics of Geomatics", 2009, Springer Dordrecht Heidelberg London New York Kenneth Field "Cartography", 2018, ESRI Press Ghilani, C. D. and P. R. Wolf "Elementary Surveying: An Introduction to Geomatics", 2014, Hall Publishers - Chapter 3 Slides provided by the teacher
Modalità di esame: Prova orale obbligatoria; Elaborato scritto individuale;
Exam: Compulsory oral exam; Individual essay;
Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.
Exam: Compulsory oral exam; Individual essay;
The exam will be oral and will focus on the presentation and subsequent discussion of a report (plus supporting material, such as geodatabase, project file, etc.) in which students will have to demonstrate that they have applied one or more of the topics, methods or analyzes presented during the course. The written document must be a descriptive and self-explanatory text, designed to provide a complete picture of the objectives, methods, and results. The TOC of the report must contain the following sections: Abstract/summary (optional), in which you briefly summarize all the content of the report Introduction, where you describe the topic and scope/objective/goal of your analysis and describe the chosen area of interest Main body, for presenting the analyses and workflow you performed Datasets description, where you provide at least basic metadata of all external datasets you used Results, to discuss the main outcomes Mapping outputs, that can be either included in the report or delivered as attached files No template is provided and you are free to adopt any style/format you deem appropriate for presenting your work and results: but please follow well established general rules such as: start with a title page with title, logo(s), authors, course name, date, etc. clearly report and reference in the text all the bibliography/sitography used enumerate all figures/tables/formulas (with caption, if necessary) and reference them in the text consider to insert an index if the report size requires The level of detail of the report must be a good compromise between the readability of the document and the need to provide the reader with the tools not only to understand the analysis, but also to be able to reproduce (and possibly improve) the procedure. For this reason, the delivery of the geodatabase is also required, which must contain all the data (and only those) used in the procedure described. The delivery of the project file is optional and should only be done if it is needed to better understand some intermediary elaborations. The project file must in any case be accessible during the examination, in order to allow for timely checks. The subject of the paper should be agreed in advance with the teacher: in this case, the material necessary for the assessment must be delivered 1 week before the exam date. If the object is not agreed, the material needed for the assessment must be delivered within 2 weeks from the exam date. An illustrative list of possible report topics includes: the drafting in "fair copy" of some of the exercises carried out during the course structure and populate a geodatabase starting from OpenStreetMap (or other data sources), including subtypes, domains and relationship classes create analyzes based on a Network Dataset create a multimodal Network Dataset application of Spatial Data Science methods and techniques All the topics covered during the course and, if necessary, their application using the ESRI software, installed in the laboratory or on your PC (of your choice), can be an integral part of the oral exam. The judgment criteria used to compose the final grade include the evaluation of: the ability to produce a concise, coherent and unambiguous written paper (55%) the ability to expose the contents of the paper clearly and in accordance with the indicated time (15%) the theoretical knowledge relating to the topics covered during the lessons (30%)
In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.
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