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Lecture
Thematic Maps: Components and Functions
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Related lectures (32)
Thematic Mapping and Graphic Semiology: Cartographic Design
Covers thematic mapping, graphic design elements, map aesthetics, and economic context visualization using QGIS software.
Digital Urban History: QGIS Practical Session
Covers the practical use of QGIS for spatial data analysis and visualization, including georeferencing historical maps and manipulating vector data.
Digitization of Vector Objects
MOOC: Geographical Information Systems 1
Covers the digitization of vector objects in GIS, including creation, editing, and topology management.
Dynamic and interactive Web-based mapping
MOOC: Geographical Information Systems 2
Covers Dynamic and Interactive Web-based Cartography, focusing on GIS principles, client-server architecture, HTML, CSS, JavaScript, and open-source libraries.
Derived variables: thematic applications
MOOC: Geographical Information Systems 2
Explores thematic variables derived from digital altitude models for various applications.
Metadata: Introduction to Geographic Information Systems
MOOC: Geographical Information Systems 1
Covers the importance of metadata in geoinformation and international standards like ISO/TC 211 and the INSPIRE directive.
Thematic Attributes and Classification
MOOC: Geographical Information Systems 2
Covers thematic attributes, classification, and data discretization in thematic cartography using QGIS for proportional symbol mapping.
Vector mode and image mode
MOOC: Geographical Information Systems 1
Covers observation units in GIS, focusing on vector and image modes.
Spatial Dependence: Autocorrelation and Analysis
Introduces spatial dependence, the paradox of classical statistics, and the bias in linear regression.
Isovalues: Introduction to Geographic Information Systems
MOOC: Geographical Information Systems 2
Introduces isolines and demonstrates their creation in QGIS.
Google Earth Engine: Analyzing Geospatial Data
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Introduces Google Earth Engine, focusing on its capabilities for geospatial analysis and environmental monitoring.
Introduction to Quantum Chaos
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Covers the introduction to Quantum Chaos, classical chaos, sensitivity to initial conditions, ergodicity, and Lyapunov exponents.
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