Introduction to analysis and visualization of spatial data acquired from databases and satellite images (4EU+)
Informacje ogólne
Kod przedmiotu: | 1900-4EU-IAVSD |
Kod Erasmus / ISCED: |
07.1
|
Nazwa przedmiotu: | Introduction to analysis and visualization of spatial data acquired from databases and satellite images (4EU+) |
Jednostka: | Wydział Geografii i Studiów Regionalnych |
Grupy: |
Przedmioty dla studentów programu 4EU+ Przedmioty dla studentów programu 4EU+, sem. zimowy |
Punkty ECTS i inne: |
15.00
|
Język prowadzenia: | angielski |
Rodzaj przedmiotu: | fakultatywne |
Założenia (opisowo): | Course conducted in a stationary mode in the IT-lab at the Faculty of Geography and Regional Studies University of Warsaw, 90 hours (taught in two days per week: Mon, Fri - in total 8 hours per week). All students entering the course should be already experienced in ArcGIS (Pro) use at the intermediate or higher level, with emphasis put on: usage of spatial database, analysis and visualization of spatial data. Required knowledge concerning: - remote sensing (image databases, basics concepts and basics of digital image processing) - acquisition of spatial data from external sources (including spatial databases) - visualization of quantitative and qualitative data, - basic knowledge on thematic cartography and common thematic map types. |
Tryb prowadzenia: | w sali |
Skrócony opis: |
Course conducted in a stationary mode in the IT-lab at the Faculty of Geography and Regional Studies University of Warsaw, 90 hours (taught in two days per week: Mon, Fri - in total 8 hours per week). All students entering the course should be already experienced in ArcGIS (Pro) use at the intermediate or higher level, with emphasis put on: usage of spatial database, analysis and visualization of spatial data. Required knowledge concerning: - remote sensing (image databases, basics concepts and basics of digital image processing) - acquisition of spatial data from external sources (including spatial databases) - visualization of quantitative and qualitative data, - basic knowledge on thematic cartography and common thematic map types. |
Pełny opis: |
Course 1. Data acquisition and display - 12h (ĆW) Content Raster and vector databases Acquisition of free multispectral satellite data, including Landsat and Sentinel. Basics of analysis and data display. Course 2. Data processing and visualization - 34 h (ĆW) Content Preprocessing of satellite data. Quantitative and qualitative analyses: calculation of remote sensing indicators, basics of image classification. Introduction to map graphics Color use in thematic mapping Common map types Course 3. Change detection analysis and thematic mapping - 44 h (ĆW) Content Qualitative and quantitative analysis of changes in satellite images Visual hierarchy in maps Multivariate thematic mapping Design map layout Execution and presentation of the projects conducted individually by each participant. |
Literatura: |
Course 1. Data acquisition and display - 12h (ĆW) Brewer C., 2015, Designing better maps: a guide for GIS users, ESRI Press Course 2. Data processing and visualization - 34 h (ĆW) Golebiowska, I., Korycka-Skorupa, J., and Slomska-Przech, K., 2021. Common Thematic Map Types. The Geographic Information Science & Technology Body of Knowledge (2nd Quarter 2021 Edition), John P. Wilson (ed.). DOI: 10.22224/gistbok/2021.2.7. Kraak MJ, Roth RE, Ricker B, Kagawa A, Le Sourd G, 2020. Mapping for a Sustainable World. United Nations: New York, NY (USA). |
Metody i kryteria oceniania: |
Exams, exercises, project |
Zajęcia w cyklu "Semestr zimowy 2023/24" (zakończony)
Okres: | 2023-10-01 - 2024-01-28 |
Przejdź do planu
PN CW
WAR
WT ŚR CZ PT PRO
|
Typ zajęć: |
Ćwiczenia, 12 godzin
Projekt, 44 godzin
Warsztaty, 34 godzin
|
|
Koordynatorzy: | Izabela Gołębiowska, Anna Jarocińska, Jolanta Korycka-Skorupa | |
Prowadzący grup: | Izabela Gołębiowska, Anna Jarocińska, Marcin Kluczek, Jolanta Korycka-Skorupa, Marlena Kycko, Adriana Marcinkowska-Ochtyra, Tomasz Nowacki, Adrian Ochtyra, Wojciech Pokojski, Karolina Wereszczyńska | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Zaliczenie na ocenę
Ćwiczenia - Zaliczenie na ocenę Projekt - Zaliczenie na ocenę Warsztaty - Zaliczenie na ocenę |
Właścicielem praw autorskich jest Uniwersytet Warszawski, Wydział Nauk Ekonomicznych.